diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 81b309f..2375b95 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -2,25 +2,24 @@ name: Build
 
 on:
   pull_request_target:
-    branches: [ master ]
+    branches: [master]
 
 jobs:
   build:
-
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v2
-    - name: Set up Python 3.9
-      uses: actions/setup-python@v2
-      with:
-        python-version: "3.9"
-    - name: Install dependencies
-      run: |
-        python -m pip install --upgrade pip
-        pip install poetry
-        make install_dev
-    - name: Run tests and coverage
-      run: make test_cov
-    - name: Upload coverage to Codecov
-      uses: codecov/codecov-action@v2
+      - uses: actions/checkout@v3
+      - name: Set up Python 3.9
+        uses: actions/setup-python@v3
+        with:
+          python-version: "3.9"
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install poetry
+          make install_dev
+      - name: Run tests and coverage
+        run: make test_cov
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v2
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 490ad25..0a5fec6 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -1,6 +1,18 @@
 Change Log
 ==========
 
+2.3.4
+-----
+## Update
+- Use a different url to try and obtain cookies (fc.yahoo.com no longer works)
+- Refactor how a session is initialized
+- Use the country as a way to make the request to obtain cookies be more location specific
+
+2.3.3
+-----
+## Update
+- Try and obtain cookies and a crumb during `Ticker` initialization so they can be used in further requests.
+
 2.3.2
 -----
 ## Update
diff --git a/docs/docs/guide/advanced.md b/docs/docs/guide/advanced.md
index 8c4edb7..bb45a2b 100644
--- a/docs/docs/guide/advanced.md
+++ b/docs/docs/guide/advanced.md
@@ -34,7 +34,7 @@ for i, row in df.iterrows():
 
 # Or, pass all tickers to the Ticker instance
 ticker_list = df['Tickers'].tolist()
-ticker_list = list(set(_flatten_list(ticker_list)))
+ticker_list = list(set(flatten_list(ticker_list)))
 tickers = Ticker(ticker_list, session=r.session, crumb=r.crumb)
 data = tickers.p_company_360
 # Do something with data
diff --git a/poetry.lock b/poetry.lock
index 399a817..6c72f6f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,20 +13,21 @@ files = [
 
 [[package]]
 name = "asttokens"
-version = "2.2.1"
+version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
 files = [
-    {file = "asttokens-2.2.1-py2.py3-none-any.whl", hash = "sha256:6b0ac9e93fb0335014d382b8fa9b3afa7df546984258005da0b9e7095b3deb1c"},
-    {file = "asttokens-2.2.1.tar.gz", hash = "sha256:4622110b2a6f30b77e1473affaa97e711bc2f07d3f10848420ff1898edbe94f3"},
+    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
+    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
 ]
 
 [package.dependencies]
-six = "*"
+six = ">=1.12.0"
 
 [package.extras]
-test = ["astroid", "pytest"]
+astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
+test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 
 [[package]]
 name = "attrs"
@@ -46,6 +47,24 @@ docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-
 tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 
+[[package]]
+name = "babel"
+version = "2.13.1"
+description = "Internationalization utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "Babel-2.13.1-py3-none-any.whl", hash = "sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed"},
+    {file = "Babel-2.13.1.tar.gz", hash = "sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900"},
+]
+
+[package.dependencies]
+pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+
+[package.extras]
+dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+
 [[package]]
 name = "backcall"
 version = "0.2.0"
@@ -59,33 +78,29 @@ files = [
 
 [[package]]
 name = "black"
-version = "23.7.0"
+version = "23.10.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "black-23.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ed45ac9a613fb52dad3b61c8dea2ec9510bf3108d4db88422bacc7d1ba1243d"},
+    {file = "black-23.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:6d23d7822140e3fef190734216cefb262521789367fbdc0b3f22af6744058982"},
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+    {file = "black-23.10.1.tar.gz", hash = "sha256:1f8ce316753428ff68749c65a5f7844631aa18c8679dfd3ca9dc1a289979c258"},
 ]
 
 [package.dependencies]
@@ -95,7 +110,7 @@ packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
@@ -105,86 +120,74 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
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+    {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+    {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
 ]
 
 [[package]]
 name = "cffi"
-version = "1.15.1"
+version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
 optional = true
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -192,108 +195,123 @@ pycparser = "*"
 
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 name = "cfgv"
-version = "3.3.1"
+version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8"
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 ]
 
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 optional = false
 python-versions = ">=3.7.0"
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 description = "Composable command line interface toolkit"
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 ]
 
 [package.dependencies]
@@ -312,71 +330,63 @@ files = [
 
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+version = "7.3.2"
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+    {file = "coverage-7.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b4767da59464bb593c07afceaddea61b154136300881844768037fd5e859353f"},
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+    {file = "coverage-7.3.2.tar.gz", hash = "sha256:be32ad29341b0170e795ca590e1c07e81fc061cb5b10c74ce7203491484404ef"},
 ]
 
 [package.dependencies]
@@ -409,13 +419,13 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.2"
+version = "1.1.3"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.2-py3-none-any.whl", hash = "sha256:e346e69d186172ca7cf029c8c1d16235aa0e04035e5750b4b95039e65204328f"},
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+    {file = "exceptiongroup-1.1.3-py3-none-any.whl", hash = "sha256:343280667a4585d195ca1cf9cef84a4e178c4b6cf2274caef9859782b567d5e3"},
+    {file = "exceptiongroup-1.1.3.tar.gz", hash = "sha256:097acd85d473d75af5bb98e41b61ff7fe35efe6675e4f9370ec6ec5126d160e9"},
 ]
 
 [package.extras]
@@ -423,48 +433,49 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "1.2.0"
+version = "2.0.1"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5"
 files = [
-    {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
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+    {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
+    {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
 [[package]]
 name = "filelock"
-version = "3.12.2"
+version = "3.13.1"
 description = "A platform independent file lock."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.12.2-py3-none-any.whl", hash = "sha256:cbb791cdea2a72f23da6ac5b5269ab0a0d161e9ef0100e653b69049a7706d1ec"},
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 ]
 
 [package.extras]
-docs = ["furo (>=2023.5.20)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flake8"
-version = "6.0.0"
+version = "6.1.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
 python-versions = ">=3.8.1"
 files = [
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+    {file = "flake8-6.1.0-py2.py3-none-any.whl", hash = "sha256:ffdfce58ea94c6580c77888a86506937f9a1a227dfcd15f245d694ae20a6b6e5"},
+    {file = "flake8-6.1.0.tar.gz", hash = "sha256:d5b3857f07c030bdb5bf41c7f53799571d75c4491748a3adcd47de929e34cd23"},
 ]
 
 [package.dependencies]
 mccabe = ">=0.7.0,<0.8.0"
-pycodestyle = ">=2.10.0,<2.11.0"
-pyflakes = ">=3.0.0,<3.1.0"
+pycodestyle = ">=2.11.0,<2.12.0"
+pyflakes = ">=3.1.0,<3.2.0"
 
 [[package]]
 name = "ghp-import"
@@ -496,13 +507,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.5.24"
+version = "2.5.31"
 description = "File identification library for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.24-py2.py3-none-any.whl", hash = "sha256:986dbfb38b1140e763e413e6feb44cd731faf72d1909543178aa79b0e258265d"},
-    {file = "identify-2.5.24.tar.gz", hash = "sha256:0aac67d5b4812498056d28a9a512a483f5085cc28640b02b258a59dac34301d4"},
+    {file = "identify-2.5.31-py2.py3-none-any.whl", hash = "sha256:90199cb9e7bd3c5407a9b7e81b4abec4bb9d249991c79439ec8af740afc6293d"},
+    {file = "identify-2.5.31.tar.gz", hash = "sha256:7736b3c7a28233637e3c36550646fc6389bedd74ae84cb788200cc8e2dd60b75"},
 ]
 
 [package.extras]
@@ -551,13 +562,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.14.0"
+version = "8.12.3"
 description = "IPython: Productive Interactive Computing"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
 files = [
-    {file = "ipython-8.14.0-py3-none-any.whl", hash = "sha256:248aca623f5c99a6635bc3857677b7320b9b8039f99f070ee0d20a5ca5a8e6bf"},
-    {file = "ipython-8.14.0.tar.gz", hash = "sha256:1d197b907b6ba441b692c48cf2a3a2de280dc0ac91a3405b39349a50272ca0a1"},
+    {file = "ipython-8.12.3-py3-none-any.whl", hash = "sha256:b0340d46a933d27c657b211a329d0be23793c36595acf9e6ef4164bc01a1804c"},
+    {file = "ipython-8.12.3.tar.gz", hash = "sha256:3910c4b54543c2ad73d06579aa771041b7d5707b033bd488669b4cf544e3b363"},
 ]
 
 [package.dependencies]
@@ -607,22 +618,22 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
 
 [[package]]
 name = "jedi"
-version = "0.18.2"
+version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "jedi-0.18.2-py2.py3-none-any.whl", hash = "sha256:203c1fd9d969ab8f2119ec0a3342e0b49910045abe6af0a3ae83a5764d54639e"},
-    {file = "jedi-0.18.2.tar.gz", hash = "sha256:bae794c30d07f6d910d32a7048af09b5a39ed740918da923c6b780790ebac612"},
+    {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
+    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
 ]
 
 [package.dependencies]
-parso = ">=0.8.0,<0.9.0"
+parso = ">=0.8.3,<0.9.0"
 
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
@@ -750,19 +761,20 @@ source = ["Cython (>=0.29.35)"]
 
 [[package]]
 name = "markdown"
-version = "3.3.7"
-description = "Python implementation of Markdown."
+version = "3.5.1"
+description = "Python implementation of John Gruber's Markdown."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "Markdown-3.3.7-py3-none-any.whl", hash = "sha256:f5da449a6e1c989a4cea2631aa8ee67caa5a2ef855d551c88f9e309f4634c621"},
-    {file = "Markdown-3.3.7.tar.gz", hash = "sha256:cbb516f16218e643d8e0a95b309f77eb118cb138d39a4f27851e6a63581db874"},
+    {file = "Markdown-3.5.1-py3-none-any.whl", hash = "sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc"},
+    {file = "Markdown-3.5.1.tar.gz", hash = "sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd"},
 ]
 
 [package.dependencies]
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 
 [package.extras]
+docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
 testing = ["coverage", "pyyaml"]
 
 [[package]]
@@ -872,13 +884,13 @@ files = [
 
 [[package]]
 name = "mkdocs"
-version = "1.4.3"
+version = "1.5.3"
 description = "Project documentation with Markdown."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "mkdocs-1.4.3-py3-none-any.whl", hash = "sha256:6ee46d309bda331aac915cd24aab882c179a933bd9e77b80ce7d2eaaa3f689dd"},
-    {file = "mkdocs-1.4.3.tar.gz", hash = "sha256:5955093bbd4dd2e9403c5afaf57324ad8b04f16886512a3ee6ef828956481c57"},
+    {file = "mkdocs-1.5.3-py3-none-any.whl", hash = "sha256:3b3a78e736b31158d64dbb2f8ba29bd46a379d0c6e324c2246c3bc3d2189cfc1"},
+    {file = "mkdocs-1.5.3.tar.gz", hash = "sha256:eb7c99214dcb945313ba30426c2451b735992c73c2e10838f76d09e39ff4d0e2"},
 ]
 
 [package.dependencies]
@@ -887,83 +899,94 @@ colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
 ghp-import = ">=1.0"
 importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
 jinja2 = ">=2.11.1"
-markdown = ">=3.2.1,<3.4"
+markdown = ">=3.2.1"
+markupsafe = ">=2.0.1"
 mergedeep = ">=1.3.4"
 packaging = ">=20.5"
+pathspec = ">=0.11.1"
+platformdirs = ">=2.2.0"
 pyyaml = ">=5.1"
 pyyaml-env-tag = ">=0.1"
 watchdog = ">=2.0"
 
 [package.extras]
 i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
 
 [[package]]
 name = "mkdocs-material"
-version = "9.1.18"
+version = "9.4.7"
 description = "Documentation that simply works"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material-9.1.18-py3-none-any.whl", hash = "sha256:5bcf8fb79ac2f253c0ffe93fa181cba87718c6438f459dc4180ac7418cc9a450"},
-    {file = "mkdocs_material-9.1.18.tar.gz", hash = "sha256:981dd39979723d4cda7cfc77bbbe5e54922d5761a7af23fb8ba9edb52f114b13"},
+    {file = "mkdocs_material-9.4.7-py3-none-any.whl", hash = "sha256:4d698d52bb6a6a3c452ab854481c4cdb68453a0420956a6aee2de55fe15fe610"},
+    {file = "mkdocs_material-9.4.7.tar.gz", hash = "sha256:e704e001c9ef17291e1d3462c202425217601653e18f68f85d28eff4690e662b"},
 ]
 
 [package.dependencies]
-colorama = ">=0.4"
-jinja2 = ">=3.0"
-markdown = ">=3.2"
-mkdocs = ">=1.4.2"
-mkdocs-material-extensions = ">=1.1"
-pygments = ">=2.14"
-pymdown-extensions = ">=9.9.1"
-regex = ">=2022.4.24"
-requests = ">=2.26"
+babel = ">=2.10,<3.0"
+colorama = ">=0.4,<1.0"
+jinja2 = ">=3.0,<4.0"
+markdown = ">=3.2,<4.0"
+mkdocs = ">=1.5.3,<2.0"
+mkdocs-material-extensions = ">=1.3,<2.0"
+paginate = ">=0.5,<1.0"
+pygments = ">=2.16,<3.0"
+pymdown-extensions = ">=10.2,<11.0"
+regex = ">=2022.4"
+requests = ">=2.26,<3.0"
+
+[package.extras]
+git = ["mkdocs-git-committers-plugin-2 (>=1.1,<2.0)", "mkdocs-git-revision-date-localized-plugin (>=1.2,<2.0)"]
+imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=9.4,<10.0)"]
+recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
 
 [[package]]
 name = "mkdocs-material-extensions"
-version = "1.1.1"
+version = "1.3"
 description = "Extension pack for Python Markdown and MkDocs Material."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
 
 [[package]]
 name = "pluggy"
-version = "1.2.0"
+version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-    {file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"},
+    {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
+    {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
 ]
 
 [package.extras]
@@ -1211,13 +1321,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.3.3"
+version = "3.5.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "pre_commit-3.3.3.tar.gz", hash = "sha256:a2256f489cd913d575c145132ae196fe335da32d91a8294b7afe6622335dd023"},
+    {file = "pre_commit-3.5.0-py2.py3-none-any.whl", hash = "sha256:841dc9aef25daba9a0238cd27984041fa0467b4199fc4852e27950664919f660"},
+    {file = "pre_commit-3.5.0.tar.gz", hash = "sha256:5804465c675b659b0862f07907f96295d490822a450c4c40e747d0b1c6ebcb32"},
 ]
 
 [package.dependencies]
@@ -1268,13 +1378,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "pycodestyle"
-version = "2.10.0"
+version = "2.11.1"
 description = "Python style guide checker"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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+    {file = "pycodestyle-2.11.1-py2.py3-none-any.whl", hash = "sha256:44fe31000b2d866f2e41841b18528a505fbd7fef9017b04eff4e2648a0fadc67"},
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 ]
 
 [[package]]
@@ -1290,24 +1400,24 @@ files = [
 
 [[package]]
 name = "pyflakes"
-version = "3.0.1"
+version = "3.1.0"
 description = "passive checker of Python programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "pygments"
-version = "2.15.1"
+version = "2.16.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
 ]
 
 [package.extras]
@@ -1315,19 +1425,22 @@ plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.1"
+version = "10.3.1"
 description = "Extension pack for Python Markdown."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "pymdown_extensions-10.3.1-py3-none-any.whl", hash = "sha256:8cba67beb2a1318cdaf742d09dff7c0fc4cafcc290147ade0f8fb7b71522711a"},
+    {file = "pymdown_extensions-10.3.1.tar.gz", hash = "sha256:f6c79941498a458852853872e379e7bab63888361ba20992fc8b4f8a9b61735e"},
 ]
 
 [package.dependencies]
 markdown = ">=3.2"
 pyyaml = "*"
 
+[package.extras]
+extra = ["pygments (>=2.12)"]
+
 [[package]]
 name = "pysocks"
 version = "1.7.1"
@@ -1342,13 +1455,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.0"
+version = "7.4.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1410,13 +1523,13 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "pytz"
-version = "2023.3"
+version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
 ]
 
 [[package]]
@@ -1494,99 +1607,99 @@ pyyaml = "*"
 
 [[package]]
 name = "regex"
-version = "2023.6.3"
+version = "2023.10.3"
 description = "Alternative regular expression module, to replace re."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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+    {file = "regex-2023.10.3.tar.gz", hash = "sha256:3fef4f844d2290ee0ba57addcec17eec9e3df73f10a2748485dfd6a3a188cc0f"},
 ]
 
 [[package]]
@@ -1629,13 +1742,13 @@ dev = ["black (>=22.3.0)", "build (>=0.7.0)", "isort (>=5.11.4)", "pyflakes (>=2
 
 [[package]]
 name = "selenium"
-version = "4.10.0"
+version = "4.15.1"
 description = ""
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "selenium-4.10.0-py3-none-any.whl", hash = "sha256:40241b9d872f58959e9b34e258488bf11844cd86142fd68182bd41db9991fc5c"},
-    {file = "selenium-4.10.0.tar.gz", hash = "sha256:871bf800c4934f745b909c8dfc7d15c65cf45bd2e943abd54451c810ada395e3"},
+    {file = "selenium-4.15.1-py3-none-any.whl", hash = "sha256:e3a4ebdcc3eed27eec69f8000d798923dbf4897c97cc6441eb88a1386809170d"},
+    {file = "selenium-4.15.1.tar.gz", hash = "sha256:8f0436b5949f1d4aa742f3dff0d748b955c371be92db8b6b008bf9c9ca227de7"},
 ]
 
 [package.dependencies]
@@ -1695,13 +1808,13 @@ files = [
 
 [[package]]
 name = "stack-data"
-version = "0.6.2"
+version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
 files = [
-    {file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"},
-    {file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"},
+    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
+    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
 ]
 
 [package.dependencies]
@@ -1725,48 +1838,48 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
-    {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"},
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+    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.9.0"
+version = "5.13.0"
 description = "Traitlets Python configuration system"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.9.0-py3-none-any.whl", hash = "sha256:9e6ec080259b9a5940c797d58b613b5e31441c2257b87c2e795c5228ae80d2d8"},
-    {file = "traitlets-5.9.0.tar.gz", hash = "sha256:f6cde21a9c68cf756af02035f72d5a723bf607e862e7be33ece505abf4a3bad9"},
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+    {file = "traitlets-5.13.0.tar.gz", hash = "sha256:9b232b9430c8f57288c1024b34a8f0251ddcc47268927367a0dd3eeaca40deb5"},
 ]
 
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
+test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
 
 [[package]]
 name = "trio"
-version = "0.22.2"
+version = "0.23.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "trio-0.22.2-py3-none-any.whl", hash = "sha256:f43da357620e5872b3d940a2e3589aa251fd3f881b65a608d742e00809b1ec38"},
-    {file = "trio-0.22.2.tar.gz", hash = "sha256:3887cf18c8bcc894433420305468388dac76932e9668afa1c49aa3806b6accb3"},
+    {file = "trio-0.23.0-py3-none-any.whl", hash = "sha256:213cd69a05962b1ba24d48caf08f7e7acf02bf1ebfac17c06d1248497f05795e"},
+    {file = "trio-0.23.0.tar.gz", hash = "sha256:662cfe10018018607a8e7ee191c274bcffbf9056be60b3ccb4f1790df98fc0a3"},
 ]
 
 [package.dependencies]
@@ -1775,34 +1888,34 @@ cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name
 exceptiongroup = {version = ">=1.0.0rc9", markers = "python_version < \"3.11\""}
 idna = "*"
 outcome = "*"
-sniffio = "*"
+sniffio = ">=1.3.0"
 sortedcontainers = "*"
 
 [[package]]
 name = "trio-websocket"
-version = "0.10.3"
+version = "0.11.1"
 description = "WebSocket library for Trio"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "trio-websocket-0.10.3.tar.gz", hash = "sha256:1a748604ad906a7dcab9a43c6eb5681e37de4793ba0847ef0bc9486933ed027b"},
-    {file = "trio_websocket-0.10.3-py3-none-any.whl", hash = "sha256:a9937d48e8132ebf833019efde2a52ca82d223a30a7ea3e8d60a7d28f75a4e3a"},
+    {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
+    {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
 ]
 
 [package.dependencies]
-exceptiongroup = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 trio = ">=0.11"
 wsproto = ">=0.14"
 
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
+version = "4.8.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
-    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
+    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
+    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
 ]
 
 [[package]]
@@ -1838,23 +1951,23 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.0"
+version = "20.24.6"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.0-py3-none-any.whl", hash = "sha256:18d1b37fc75cc2670625702d76849a91ebd383768b4e91382a8d51be3246049e"},
-    {file = "virtualenv-20.24.0.tar.gz", hash = "sha256:e2a7cef9da880d693b933db7654367754f14e20650dc60e8ee7385571f8593a3"},
+    {file = "virtualenv-20.24.6-py3-none-any.whl", hash = "sha256:520d056652454c5098a00c0f073611ccbea4c79089331f60bf9d7ba247bb7381"},
+    {file = "virtualenv-20.24.6.tar.gz", hash = "sha256:02ece4f56fbf939dbbc33c0715159951d6bf14aaf5457b092e4548e1382455af"},
 ]
 
 [package.dependencies]
-distlib = ">=0.3.6,<1"
-filelock = ">=3.12,<4"
-platformdirs = ">=3.5.1,<4"
+distlib = ">=0.3.7,<1"
+filelock = ">=3.12.2,<4"
+platformdirs = ">=3.9.1,<4"
 
 [package.extras]
-docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.3.1)", "pytest-env (>=0.8.1)", "pytest-freezer (>=0.4.6)", "pytest-mock (>=3.10)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=67.8)", "time-machine (>=2.9)"]
+docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
 
 [[package]]
 name = "watchdog"
@@ -1897,31 +2010,30 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.6"
+version = "0.2.9"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
-    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
+    {file = "wcwidth-0.2.9-py2.py3-none-any.whl", hash = "sha256:9a929bd8380f6cd9571a968a9c8f4353ca58d7cd812a4822bba831f8d685b223"},
+    {file = "wcwidth-0.2.9.tar.gz", hash = "sha256:a675d1a4a2d24ef67096a04b85b02deeecd8e226f57b5e3a72dbb9ed99d27da8"},
 ]
 
 [[package]]
 name = "webdriver-manager"
-version = "3.8.6"
+version = "3.9.1"
 description = "Library provides the way to automatically manage drivers for different browsers"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "webdriver_manager-3.8.6-py2.py3-none-any.whl", hash = "sha256:7d3aa8d67bd6c92a5d25f4abd75eea2c6dd24ea6617bff986f502280903a0e2b"},
-    {file = "webdriver_manager-3.8.6.tar.gz", hash = "sha256:ee788d389b8f45222a8a62f6f39b579360a1f87be46dad6da89918354af3ce73"},
+    {file = "webdriver_manager-3.9.1-py2.py3-none-any.whl", hash = "sha256:1dfc29a786abb97ba28076d4766d931064eeeac71a9685a3e8d46f5d363fcbe3"},
+    {file = "webdriver_manager-3.9.1.tar.gz", hash = "sha256:cd1f49ebb325a98b4dc3c41056f5b645e82fff3f83e346607844ec0bdf561c0b"},
 ]
 
 [package.dependencies]
 packaging = "*"
 python-dotenv = "*"
 requests = "*"
-tqdm = "*"
 
 [[package]]
 name = "wsproto"
@@ -1939,17 +2051,17 @@ h11 = ">=0.9.0,<1"
 
 [[package]]
 name = "zipp"
-version = "3.16.2"
+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
-    {file = "zipp-3.16.2.tar.gz", hash = "sha256:ebc15946aa78bd63458992fc81ec3b6f7b1e92d51c35e6de1c3804e73b799147"},
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [extras]
@@ -1957,5 +2069,5 @@ premium = ["selenium", "webdriver-manager"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.9"
-content-hash = "37baca0993d400814fee9f807d63d9bf4a546e211975b7e0a3640ef699d6d094"
+python-versions = ">=3.8.1,<4.0"
+content-hash = "5bb142dfc188dfb4ea5909389ba272201a2148343ae8d05e3d3e5f3530604663"
diff --git a/pyproject.toml b/pyproject.toml
index 1773eb4..59a94a6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "yahooquery"
-version = "2.3.3"
+version = "2.3.4"
 description = "Python wrapper for an unofficial Yahoo Finance API"
 authors = ["Doug Guthrie <douglas.p.guthrie@gmail.com>"]
 documentation = "https://yahooquery.dpguthrie.com"
@@ -9,7 +9,7 @@ license = "MIT"
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = "^3.9"
+python = ">=3.8.1,<4.0"
 requests = "^2.31.0"
 pandas = "^2.0.3"
 requests-futures = "^1.0.1"
@@ -20,13 +20,13 @@ webdriver-manager = {version = "^3.8.6", optional = true}
 
 [tool.poetry.dev-dependencies]
 pytest = "^7.4.0"
-isort = "^5.12.0"
+isort = "^5.0.0"
 flake8 = "^6.0.0"
 mypy = "^1.4.1"
 pytest-cov = "^4.1.0"
 black = "^23.7.0"
 pre-commit = "^3.3.3"
-ipython = "^8.14.0"
+ipython = "^8.0.0"
 mkdocs-material = "^9.1.18"
 
 [build-system]
diff --git a/tests/test_ticker.py b/tests/test_ticker.py
index 1ab7e14..c5495b8 100644
--- a/tests/test_ticker.py
+++ b/tests/test_ticker.py
@@ -184,7 +184,7 @@ def test_adj_ohlc(ticker):
     assert ticker.history(period="max", adj_ohlc=True) is not None
 
 
-class TestHistoryDataframe():
+class TestHistoryDataframe:
     """Tests for `utils.__init__._history_dataframe` and dependencies."""
 
     @pytest.fixture
@@ -250,13 +250,20 @@ def timestamps_daily(self, utc, tz_oz, tz_us, tz_hk):
 
         expected_utc = pd.DatetimeIndex(
             [
-                '2022-11-04 13:30:00', '2022-11-07 14:30:00',
-                '2022-11-08 14:30:00', '2022-11-09 14:30:00',
-                '2022-11-10 14:30:00', '2022-11-11 14:30:00',
-                '2022-11-14 14:30:00', '2022-11-15 14:30:00',
-                '2022-11-16 14:30:00', '2022-11-17 14:30:00',
-                '2022-11-18 14:30:00', '2022-11-21 14:30:00',
-                '2022-11-22 14:30:00', '2022-11-23 14:30:00',
+                '2022-11-04 13:30:00',
+                '2022-11-07 14:30:00',
+                '2022-11-08 14:30:00',
+                '2022-11-09 14:30:00',
+                '2022-11-10 14:30:00',
+                '2022-11-11 14:30:00',
+                '2022-11-14 14:30:00',
+                '2022-11-15 14:30:00',
+                '2022-11-16 14:30:00',
+                '2022-11-17 14:30:00',
+                '2022-11-18 14:30:00',
+                '2022-11-21 14:30:00',
+                '2022-11-22 14:30:00',
+                '2022-11-23 14:30:00',
             ],
             tz=utc,
         )
@@ -284,13 +291,20 @@ def timestamps_daily(self, utc, tz_oz, tz_us, tz_hk):
 
         expected_oz = pd.DatetimeIndex(
             [
-                '2022-11-05 00:30:00', '2022-11-08 01:30:00',
-                '2022-11-09 01:30:00', '2022-11-10 01:30:00',
-                '2022-11-11 01:30:00', '2022-11-12 01:30:00',
-                '2022-11-15 01:30:00', '2022-11-16 01:30:00',
-                '2022-11-17 01:30:00', '2022-11-18 01:30:00',
-                '2022-11-19 01:30:00', '2022-11-22 01:30:00',
-                '2022-11-23 01:30:00', '2022-11-24 01:30:00',
+                '2022-11-05 00:30:00',
+                '2022-11-08 01:30:00',
+                '2022-11-09 01:30:00',
+                '2022-11-10 01:30:00',
+                '2022-11-11 01:30:00',
+                '2022-11-12 01:30:00',
+                '2022-11-15 01:30:00',
+                '2022-11-16 01:30:00',
+                '2022-11-17 01:30:00',
+                '2022-11-18 01:30:00',
+                '2022-11-19 01:30:00',
+                '2022-11-22 01:30:00',
+                '2022-11-23 01:30:00',
+                '2022-11-24 01:30:00',
             ],
             tz=tz_oz,
         )
@@ -318,13 +332,20 @@ def timestamps_daily(self, utc, tz_oz, tz_us, tz_hk):
 
         expected_us = pd.DatetimeIndex(
             [
-                '2022-11-04 09:30:00', '2022-11-07 09:30:00',
-                '2022-11-08 09:30:00', '2022-11-09 09:30:00',
-                '2022-11-10 09:30:00', '2022-11-11 09:30:00',
-                '2022-11-14 09:30:00', '2022-11-15 09:30:00',
-                '2022-11-16 09:30:00', '2022-11-17 09:30:00',
-                '2022-11-18 09:30:00', '2022-11-21 09:30:00',
-                '2022-11-22 09:30:00', '2022-11-23 09:30:00',
+                '2022-11-04 09:30:00',
+                '2022-11-07 09:30:00',
+                '2022-11-08 09:30:00',
+                '2022-11-09 09:30:00',
+                '2022-11-10 09:30:00',
+                '2022-11-11 09:30:00',
+                '2022-11-14 09:30:00',
+                '2022-11-15 09:30:00',
+                '2022-11-16 09:30:00',
+                '2022-11-17 09:30:00',
+                '2022-11-18 09:30:00',
+                '2022-11-21 09:30:00',
+                '2022-11-22 09:30:00',
+                '2022-11-23 09:30:00',
             ],
             tz=tz_us,
         )
@@ -352,13 +373,20 @@ def timestamps_daily(self, utc, tz_oz, tz_us, tz_hk):
 
         expected_hk = pd.DatetimeIndex(
             [
-                '2022-11-04 21:30', '2022-11-07 22:30',
-                '2022-11-08 22:30', '2022-11-09 22:30',
-                '2022-11-10 22:30', '2022-11-11 22:30',
-                '2022-11-14 22:30', '2022-11-15 22:30',
-                '2022-11-16 22:30', '2022-11-17 22:30',
-                '2022-11-18 22:30', '2022-11-21 22:30',
-                '2022-11-22 22:30', '2022-11-23 22:30',
+                '2022-11-04 21:30',
+                '2022-11-07 22:30',
+                '2022-11-08 22:30',
+                '2022-11-09 22:30',
+                '2022-11-10 22:30',
+                '2022-11-11 22:30',
+                '2022-11-14 22:30',
+                '2022-11-15 22:30',
+                '2022-11-16 22:30',
+                '2022-11-17 22:30',
+                '2022-11-18 22:30',
+                '2022-11-21 22:30',
+                '2022-11-22 22:30',
+                '2022-11-23 22:30',
             ],
             tz=tz_hk,
         )
@@ -370,7 +398,11 @@ def timestamps_daily(self, utc, tz_oz, tz_us, tz_hk):
         )
 
         yield (
-            tss, expected_us_days, expected_oz_days, expected_hk_days, expected_utc_days
+            tss,
+            expected_us_days,
+            expected_oz_days,
+            expected_hk_days,
+            expected_utc_days,
         )
 
     @pytest.fixture
@@ -451,12 +483,7 @@ def get_splits(tss):
         indice = 11
         ts = tss[indice]
         d = {
-            str(ts): {
-                'data': ts,
-                'numerator': 3,
-                'denominator': 1,
-                'splitRatio': '3:1'
-            }
+            str(ts): {'data': ts, 'numerator': 3, 'denominator': 1, 'splitRatio': '3:1'}
         }
         expected = [3 if i == indice else float('nan') for i in range(14)]
         return d, expected
@@ -606,7 +633,10 @@ def f(data, adj_timezone):
         dividends, _ = dividends_daily
 
         expecteds = (
-            expected_daily_utc, expected_daily_us, expected_daily_oz, expected_daily_hk
+            expected_daily_utc,
+            expected_daily_us,
+            expected_daily_oz,
+            expected_daily_hk,
         )
         tzs = (utc, tz_us, tz_oz, tz_hk)
         for expected, tz in zip(expecteds, tzs):
@@ -663,7 +693,9 @@ def test_live_indice(
         # verify live indice has local timezone when adj_timezone True
         rtrn = _history_dataframe(data, daily=True, adj_timezone=True)
         expected_li = pd.Timestamp("2022-11-23 14:31", tz=tz_us).to_pydatetime()
-        expected_index = expected_index[:-1].insert(len(expected_index)-1, expected_li)
+        expected_index = expected_index[:-1].insert(
+            len(expected_index) - 1, expected_li
+        )
         expected_df.index = expected_index
         assert_frame_equal(rtrn, expected_df)
 
@@ -728,13 +760,20 @@ def timestamps_intraday(self, utc):
 
         expected_index_utc = pd.DatetimeIndex(
             [
-                '2022-11-04 13:30:00', '2022-11-04 14:30:00',
-                '2022-11-04 15:30:00', '2022-11-04 16:30:00',
-                '2022-11-04 17:30:00', '2022-11-04 18:30:00',
-                '2022-11-04 19:30:00', '2022-11-07 14:30:00',
-                '2022-11-07 15:30:00', '2022-11-07 16:30:00',
-                '2022-11-07 17:30:00', '2022-11-07 18:30:00',
-                '2022-11-07 19:30:00', '2022-11-07 20:30:00'
+                '2022-11-04 13:30:00',
+                '2022-11-04 14:30:00',
+                '2022-11-04 15:30:00',
+                '2022-11-04 16:30:00',
+                '2022-11-04 17:30:00',
+                '2022-11-04 18:30:00',
+                '2022-11-04 19:30:00',
+                '2022-11-07 14:30:00',
+                '2022-11-07 15:30:00',
+                '2022-11-07 16:30:00',
+                '2022-11-07 17:30:00',
+                '2022-11-07 18:30:00',
+                '2022-11-07 19:30:00',
+                '2022-11-07 20:30:00',
             ],
             tz=utc,
         )
diff --git a/yahooquery/__init__.py b/yahooquery/__init__.py
index 32ea9ec..d70f37d 100644
--- a/yahooquery/__init__.py
+++ b/yahooquery/__init__.py
@@ -1,7 +1,7 @@
 """Python interface to unofficial Yahoo Finance API endpoints"""
 
 name = "yahooquery"
-__version__ = "2.3.2"
+__version__ = "2.3.4"
 
 from .research import Research  # noqa
 from .ticker import Ticker  # noqa
diff --git a/yahooquery/base.py b/yahooquery/base.py
index 54b8a0d..6cf2fc8 100644
--- a/yahooquery/base.py
+++ b/yahooquery/base.py
@@ -1,23 +1,32 @@
+# stdlib
 import os
 import time
 from concurrent.futures import as_completed
 from datetime import datetime
 
+# third party
 from requests_futures.sessions import FuturesSession
-
 from tqdm import tqdm
-from yahooquery.login import YahooSelenium
-from yahooquery.utils import _convert_to_list, _init_session
+
+# first party
+from yahooquery.headless import YahooFinanceHeadless, _has_selenium
+from yahooquery.utils import (
+    convert_to_list,
+    get_crumb,
+    initialize_session,
+    setup_session,
+)
 from yahooquery.utils.countries import COUNTRIES
 
 try:
+    # stdlib
     from urllib import parse
 except ImportError:
+    # third party
     import urlparse as parse
 
 
 class _YahooFinance(object):
-
     CHUNK = 1500
 
     FUNDAMENTALS_OPTIONS = {
@@ -493,9 +502,9 @@ class _YahooFinance(object):
         },
         "majorHoldersBreakdown": {"convert_dates": []},
         "pageViews": {"convert_dates": []},
-        "price": {"convert_dates": [
-            "postMarketTime", "preMarketTime", "regularMarketTime"
-        ]},
+        "price": {
+            "convert_dates": ["postMarketTime", "preMarketTime", "regularMarketTime"]
+        },
         "quoteType": {"convert_dates": ["firstTradeDateEpochUtc"]},
         "recommendationTrend": {"filter": "trend", "convert_dates": []},
         "secFilings": {"filter": "filings", "convert_dates": ["epochDate"]},
@@ -566,7 +575,7 @@ class _YahooFinance(object):
             "query": {
                 "formatted": {"required": False, "default": False},
                 "symbols": {"required": True, "default": None},
-            }
+            },
         },
         "news": {
             "path": "https://query2.finance.yahoo.com/v2/finance/news",
@@ -926,12 +935,17 @@ class _YahooFinance(object):
     def __init__(self, **kwargs):
         self.country = kwargs.get("country", "united states").lower()
         self.formatted = kwargs.pop("formatted", False)
-        self.session, self.crumb = _init_session(kwargs.pop("session", None), **kwargs)
+        self.session = initialize_session(kwargs.pop("session", None), **kwargs)
         self.progress = kwargs.pop("progress", False)
-        username = os.getenv("YF_USERNAME") or kwargs.get("username")
-        password = os.getenv("YF_PASSWORD") or kwargs.get("password")
-        if username and password:
-            self.login(username, password)
+        self.username = kwargs.get("username", os.getenv("YF_USERNAME", None))
+        self.password = kwargs.get("password", os.getenv("YF_PASSWORD", None))
+        if self.username and self.password:
+            self.login()
+            self._crumb = get_crumb(self.session)
+        else:
+            host = self._country_params["corsDomain"]
+            cookies, self.crumb = setup_session(host)
+            self.session.cookies = cookies
 
     @property
     def symbols(self):
@@ -942,7 +956,7 @@ def symbols(self):
 
     @symbols.setter
     def symbols(self, symbols):
-        self._symbols = _convert_to_list(symbols)
+        self._symbols = convert_to_list(symbols)
 
     @property
     def country(self):
@@ -963,7 +977,7 @@ def country(self, country):
     def default_query_params(self):
         """
         Dictionary containing default query parameters that are sent with
-        each request.  The dictionary contains four keys:  lang, region, 
+        each request.  The dictionary contains four keys:  lang, region,
         corsDomain, and crumb
 
         Notes
@@ -976,20 +990,16 @@ def default_query_params(self):
         """
         params = self._country_params
         if self.crumb is not None:
-            params['crumb'] = self.crumb
+            params["crumb"] = self.crumb
         return params
-            
 
-    def login(self, username, password):
-        ys = YahooSelenium(username=username, password=password)
-        d = ys.yahoo_login()
-        try:
-            [self.session.cookies.set(c["name"], c["value"]) for c in d["cookies"]]
-        except TypeError:
-            print(
-                "Invalid credentials provided.  Please check username and"
-                " password and try again"
-            )
+    def login(self):
+        if _has_selenium:
+            instance = YahooFinanceHeadless(self.username, self.password)
+            instance.login()
+            self.session.cookies = instance.cookies
+
+        return []
 
     def _chunk_symbols(self, key, params={}, chunk=None, **kwargs):
         current_symbols = self.symbols
@@ -1215,5 +1225,3 @@ def _construct_data(self, json, response_field, **kwargs):
         except TypeError:
             data = json
         return data
-
- 
\ No newline at end of file
diff --git a/yahooquery/login.py b/yahooquery/headless.py
similarity index 73%
rename from yahooquery/login.py
rename to yahooquery/headless.py
index 2b703b5..d1456cc 100644
--- a/yahooquery/login.py
+++ b/yahooquery/headless.py
@@ -1,9 +1,16 @@
+# stdlib
+from typing import Dict, List
+
+# third party
+from requests.cookies import RequestsCookieJar
+
 try:
+    # third party
     from selenium import webdriver
     from selenium.common.exceptions import NoSuchElementException, TimeoutException
-    from selenium.webdriver.common.by import By
     from selenium.webdriver.chrome.options import Options
     from selenium.webdriver.chrome.service import Service as ChromeService
+    from selenium.webdriver.common.by import By
     from selenium.webdriver.support import expected_conditions as EC
     from selenium.webdriver.support.ui import WebDriverWait
     from webdriver_manager.chrome import ChromeDriverManager
@@ -14,11 +21,10 @@
     _has_selenium = True
 
 
-class YahooSelenium(object):
-
+class YahooFinanceHeadless:
     LOGIN_URL = "https://login.yahoo.com"
 
-    def __init__(self, username: str = None, password: str = None):
+    def __init__(self, username: str, password: str):
         self.username = username
         self.password = password
         chrome_options = Options()
@@ -32,7 +38,7 @@ def __init__(self, username: str = None, password: str = None):
             options=chrome_options,
         )
 
-    def yahoo_login(self):
+    def login(self):
         try:
             self.driver.execute_script("window.open('{}');".format(self.LOGIN_URL))
             self.driver.switch_to.window(self.driver.window_handles[-1])
@@ -45,21 +51,23 @@ def yahoo_login(self):
             self.driver.find_element(By.XPATH, "//button[@id='login-signin']").click()
             cookies = self.driver.get_cookies()
             self.driver.quit()
-            return {'cookies': cookies}
+            self.cookies = self._create_cookie_jar(cookies)
+
         except TimeoutException:
             return (
                 "A timeout exception has occured.  Most likely it's due "
                 "to invalid login credentials.  Please try again."
             )
 
-    def get_cookies(self):
-        cookies = []
-        self.driver.get('https://es.finance.yahoo.com')
-        try:
-            self.driver.find_element(By.CLASS_NAME, "accept-all").click()            
-        except NoSuchElementException:
-            # Consent dialog was not found, keep going
-            pass
-        finally:
-            cookies.extend(self.driver.get_cookies())
-        return cookies
\ No newline at end of file
+    def _create_cookie_jar(cookies: List[Dict]):
+        cookie_jar = RequestsCookieJar()
+        for cookie in cookies:
+            cookie_dict = {
+                "name": cookie["name"],
+                "value": cookie["value"],
+                "domain": cookie["domain"],
+                "path": cookie["path"],
+                "expires": None,  # You can set the expiration if available
+            }
+            cookie_jar.set(**cookie_dict)
+        return cookie_jar
diff --git a/yahooquery/misc.py b/yahooquery/misc.py
index 7d4e77e..1b73fa9 100644
--- a/yahooquery/misc.py
+++ b/yahooquery/misc.py
@@ -1,12 +1,8 @@
-from datetime import datetime
-from typing import List
-
+# third party
 import pandas as pd
-import requests
 
+from .utils import get_crumb, initialize_session
 from .utils.countries import COUNTRIES
-from .utils import _init_session
-
 
 BASE_URL = "https://query2.finance.yahoo.com"
 
@@ -24,9 +20,10 @@ def _make_request(
                     country, ", ".join(sorted(COUNTRIES.keys()))
                 )
             )
-    session, crumb = _init_session(**kwargs)
+    session = initialize_session(**kwargs)
+    crumb = get_crumb(session)
     if crumb is not None:
-        params['crumb'] = crumb
+        params["crumb"] = crumb
     r = getattr(session, method)(url, params=params, json=data)
     json = r.json()
     if response_field:
diff --git a/yahooquery/research.py b/yahooquery/research.py
index 5d9f8e2..2029333 100644
--- a/yahooquery/research.py
+++ b/yahooquery/research.py
@@ -1,10 +1,12 @@
+# stdlib
 import json
 from datetime import datetime, timedelta
 
+# third party
 import pandas as pd
 
 from .base import _YahooFinance
-from .utils import _convert_to_list
+from .utils import convert_to_list
 
 
 class Research(_YahooFinance):
@@ -189,7 +191,7 @@ def _construct_date(self, n=0):
     def _construct_query(self, research_type, **kwargs):
         operand_list = []
         for k, v in kwargs.items():
-            v = _convert_to_list(v, comma_split=True)
+            v = convert_to_list(v, comma_split=True)
             if k not in self._QUERY_OPTIONS[research_type]:
                 raise ValueError(
                     "{} is an invalid argument for {}".format(k, research_type)
diff --git a/yahooquery/screener.py b/yahooquery/screener.py
index 195408f..32a1c1d 100644
--- a/yahooquery/screener.py
+++ b/yahooquery/screener.py
@@ -1,11 +1,14 @@
+# stdlib
 import re
 
 from .base import _YahooFinance
 from .utils.screeners import SCREENERS
 
 try:
+    # stdlib
     from urllib import parse
 except ImportError:
+    # third party
     import urlparse as parse
 
 
@@ -15,7 +18,7 @@ def __init__(self, **kwargs):
         # if not all(i in kwargs for i in ['username', 'password']):
         #     self._get_crumb
         # if kwargs.get('symbols'):
-        #     self._symbols = _convert_to_list(kwargs.get('symbols'))
+        #     self._symbols = convert_to_list(kwargs.get('symbols'))
 
     def _construct_params(self, config, params):
         new_params = {}
diff --git a/yahooquery/ticker.py b/yahooquery/ticker.py
index 945a1ed..37cb549 100644
--- a/yahooquery/ticker.py
+++ b/yahooquery/ticker.py
@@ -1,10 +1,13 @@
-from datetime import datetime, timedelta
+# stdlib
 import re
+from datetime import datetime, timedelta
 
+# third party
 import pandas as pd
 
+# first party
 from yahooquery.base import _YahooFinance
-from yahooquery.utils import _convert_to_timestamp, _flatten_list, _history_dataframe
+from yahooquery.utils import _history_dataframe, convert_to_timestamp, flatten_list
 
 
 class Ticker(_YahooFinance):
@@ -99,7 +102,7 @@ def _quote_summary(self, modules):
         if len(modules) == 1:
             kwargs.update({"addl_key": modules[0]})
         data = self._get_data(key="quoteSummary", params=params, **kwargs)
-        dates = _flatten_list(
+        dates = flatten_list(
             [self._MODULES_DICT[module]["convert_dates"] for module in modules]
         )
         return data if self.formatted else self._format_data(data, dates)
@@ -301,7 +304,7 @@ def news(self, count=25, start=None):
         dict
         """
         if start:
-            start = _convert_to_timestamp(start)
+            start = convert_to_timestamp(start)
         return self._chunk_symbols(
             "news", params={"count": count, "start": start}, list_result=True
         )
@@ -584,7 +587,7 @@ def all_financial_data(self, frequency="a"):
         frequency: str, default 'a', optional
             Specify either annual or quarterly.  Value should be 'a' or 'q'.
         """
-        types = _flatten_list(
+        types = flatten_list(
             [self.FUNDAMENTALS_OPTIONS[option] for option in self.FUNDAMENTALS_OPTIONS]
         )
         return self._financials("cash_flow", frequency, types=types, trailing=False)
@@ -1002,7 +1005,7 @@ def fund_sector_weightings(self):
         return self._quote_summary_dataframe(
             "topHoldings", data_filter="sectorWeightings", from_dict=True
         )
-        
+
     @property
     def p_fair_value(self):
         return self._get_data("yfp_fair_value")
@@ -1026,7 +1029,7 @@ def p_all_financial_data(self, frequency="a"):
         frequency: str, default 'a', optional
             Specify either annual or quarterly.  Value should be 'a' or 'q'.
         """
-        types = _flatten_list(
+        types = flatten_list(
             [self.FUNDAMENTALS_OPTIONS[option] for option in self.FUNDAMENTALS_OPTIONS]
         )
         return self._financials(
@@ -1213,13 +1216,13 @@ def dividend_history(self, start, end=None):
             historical pricing data
         """
         df = self.history(start=start, end=end)
-        if 'dividends' in df:
-            return df[df['dividends'] != 0].loc[:, ['dividends']]
-        
-        return pd.DataFrame(
-            columns=['symbol', 'date', 'dividends']
-        ).set_index(['symbol', 'date'])['dividends']
-    
+        if "dividends" in df:
+            return df[df["dividends"] != 0].loc[:, ["dividends"]]
+
+        return pd.DataFrame(columns=["symbol", "date", "dividends"]).set_index(
+            ["symbol", "date"]
+        )["dividends"]
+
     def history(
         self,
         period="ytd",
@@ -1274,8 +1277,8 @@ def history(
         config = self._CONFIG["chart"]
         intervals = config["query"]["interval"]["options"]
         if start or period is None or period.lower() == "max":
-            start = _convert_to_timestamp(start)
-            end = _convert_to_timestamp(end, start=False)
+            start = convert_to_timestamp(start)
+            end = convert_to_timestamp(end, start=False)
             params = {"period1": start, "period2": end}
         else:
             params = {"range": period.lower()}
@@ -1297,7 +1300,7 @@ def _history_1m(self, adj_timezone=True, adj_ohlc=False):
         params = {"interval": "1m"}
         today = datetime.today()
         dates = [
-            _convert_to_timestamp((today - timedelta(7 * x)).date()) for x in range(5)
+            convert_to_timestamp((today - timedelta(7 * x)).date()) for x in range(5)
         ]
         dataframes = []
         for i in range(len(dates) - 1):
@@ -1324,7 +1327,7 @@ def _historical_data_to_dataframe(self, data, params, adj_timezone):
         try:
             df = pd.concat(d, names=["symbol", "date"], sort=False)
         except ValueError:
-            df = pd.DataFrame(columns=['high', 'low', 'volume', 'open', 'close'])
+            df = pd.DataFrame(columns=["high", "low", "volume", "open", "close"])
         else:
             if "dividends" in df.columns:
                 df["dividends"].fillna(0, inplace=True)
diff --git a/yahooquery/utils/__init__.py b/yahooquery/utils/__init__.py
index c52b3eb..33ffefa 100644
--- a/yahooquery/utils/__init__.py
+++ b/yahooquery/utils/__init__.py
@@ -1,132 +1,1326 @@
 # stdlib
 import datetime
-import json
+import logging
 import random
 import re
-from urllib3.exceptions import MaxRetryError
 
 # third party
 import pandas as pd
-from requests import Response, Session
+import requests
 from requests.adapters import HTTPAdapter
-from requests.exceptions import ConnectionError, RetryError
+from requests.exceptions import ConnectionError, RetryError, SSLError
 from requests.packages.urllib3.util.retry import Retry
 from requests_futures.sessions import FuturesSession
+from urllib3.exceptions import MaxRetryError
+
+logger = logging.getLogger(__name__)
 
 
 DEFAULT_TIMEOUT = 5
 
 HEADERS = [
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36 Edg/89.0.774.76', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Microsoft Edge;v="89", "Chromium";v="89", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,es;q=0.6'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36 Edg/86.0.622.69', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Microsoft Edge;v="86", "Chromium";v="86", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,en;q=0.9,es;q=0.8'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,en;q=0.9,it;q=0.8'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,es;q=0.8'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.75 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="104", "Opera";v="90"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': '"Windows"', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate, br', 'accept-language': 'en'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,en;q=0.9,de;q=0.5'},
-    {'upgrade-insecure-requests': '1x', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Google Chrome;v="72", "Chromium";v="72", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,it;q=0.7'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="85", "Chromium";v="85", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,es;q=0.6'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,es;q=0.7'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="86", "Chromium";v="86", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,de;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36 Edg/90.0.818.46', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Microsoft Edge;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,it;q=0.8'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.82 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,it;q=0.6'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36 Edg/88.0.705.74', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Microsoft Edge;v="88", "Chromium";v="88", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,en;q=0.9,es;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="83", "Chromium";v="83", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,de;q=0.9'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,en;q=0.9,fr;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,es;q=0.8'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,es;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 11_2_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,de;q=0.7'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36 Edg/88.0.705.81', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Microsoft Edge;v="88", "Chromium";v="88", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,it;q=0.6'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3', 'sec-ch-ua': 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip', 'accept-language': 'en-US,en;q=0.9,fr;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,en;q=0.9,es;q=0.5'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.105 Safari/537.36', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'sec-ch-ua': 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'macOS', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US'},
-    {'upgrade-insecure-requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36 Edg/83.0.478.37', 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8', 'sec-ch-ua': 'Microsoft Edge;v="83", "Chromium";v="83", ";Not A Brand";v="99"', 'sec-ch-ua-mobile': '?0', 'sec-ch-ua-platform': 'Windows', 'sec-fetch-site': 'none', 'sec-fetch-mod': '', 'sec-fetch-user': '?1', 'accept-encoding': 'gzip, deflate', 'accept-language': 'en-US,de;q=0.8'},
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+        "sec-ch-ua": 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,es;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.89 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,en;q=0.7",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,it;q=0.6",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="90", "Chromium";v="90", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,it;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36 Edg/85.0.564.70",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Microsoft Edge;v="85", "Chromium";v="85", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,en;q=0.9,de;q=0.5",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.67 Safari/537.36 Edg/87.0.664.47",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="87", "Chromium";v="87", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36 Edg/90.0.818.56",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="90", "Chromium";v="90", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,it;q=0.7",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.135 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="84", "Chromium";v="84", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,en;q=0.9,fr;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.190 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="88", "Chromium";v="88", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,fr;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36 Edg/90.0.818.49",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Microsoft Edge;v="90", "Chromium";v="90", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,de;q=0.6",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="83", "Chromium";v="83", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,es;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="86", "Chromium";v="86", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "macOS",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,es;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.141 Safari/537.36 Edg/87.0.664.75",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="87", "Chromium";v="87", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,de;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.72 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="86", "Chromium";v="86", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "macOS",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,it;q=0.7",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.67 Safari/537.36 Edg/87.0.664.52",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="87", "Chromium";v="87", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,it;q=0.9",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Google Chrome;v="89", "Chromium";v="89", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36 Edg/85.0.564.70",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Microsoft Edge;v="85", "Chromium";v="85", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,en;q=0.9,fr;q=0.5",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.75 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="73", "Chromium";v="73", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,es;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36 Edg/90.0.818.49",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="90", "Chromium";v="90", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,it;q=0.9",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36 Edg/89.0.774.68",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="89", "Chromium";v="89", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,it;q=0.9",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36 Edg/86.0.622.69",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Microsoft Edge;v="86", "Chromium";v="86", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,fr;q=0.5",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/84.0.4147.135 Safari/537.36 Edg/84.0.522.63",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3",
+        "sec-ch-ua": 'Microsoft Edge;v="84", "Chromium";v="84", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,fr;q=0.8",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3626.121 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="72", "Chromium";v="72", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip, deflate",
+        "accept-language": "en-US,it;q=0.7",
+    },
+    {
+        "upgrade-insecure-requests": "1",
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36",
+        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
+        "sec-ch-ua": 'Google Chrome;v="81", "Chromium";v="81", ";Not A Brand";v="99"',
+        "sec-ch-ua-mobile": "?0",
+        "sec-ch-ua-platform": "Windows",
+        "sec-fetch-site": "none",
+        "sec-fetch-mod": "",
+        "sec-fetch-user": "?1",
+        "accept-encoding": "gzip",
+        "accept-language": "en-US,en;q=0.7",
+    },
 ]
 
-addl_headers = {
-    'authority': 'finance.yahoo.com',
-    'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
-    'sec-fetch-dest': 'document',
-    'sec-fetch-mode': 'navigate',
-    'sec-fetch-site': 'none',
-}
-
 
 class TimeoutHTTPAdapter(HTTPAdapter):
     def __init__(self, *args, **kwargs):
@@ -143,13 +1337,12 @@ def send(self, request, **kwargs):
         return super(TimeoutHTTPAdapter, self).send(request, **kwargs)
 
 
-def _init_session(session=None, **kwargs):
-    crumb = None
+def initialize_session(session=None, **kwargs):
     if session is None:
         if kwargs.get("asynchronous"):
             session = FuturesSession(max_workers=kwargs.get("max_workers", 8))
         else:
-            session = Session()
+            session = requests.Session()
         if kwargs.get("proxies"):
             session.proxies = kwargs.get("proxies")
         retries = Retry(
@@ -165,42 +1358,52 @@ def _init_session(session=None, **kwargs):
                 max_retries=retries, timeout=kwargs.get("timeout", DEFAULT_TIMEOUT)
             ),
         )
-        session, crumb = setup_session_with_cookies_and_crumb(session)
-    return session, crumb
+        session.headers = random.choice(HEADERS)
+    return session
 
 
-def setup_session_with_cookies_and_crumb(session: Session):
-    headers = {**random.choice(HEADERS)}
-    session.headers = headers
+def setup_session(host: str):
+    url = f"https://{host}/quote/tsla"
+    session = requests.Session()
+    session.headers = random.choice(HEADERS)
     try:
-        response = session.get('https://fc.yahoo.com')
-    except Exception:
-        return session, None
-    else:
-        if isinstance(session, FuturesSession):
-            response = response.result()
-        
-        session.cookies = response.cookies
-        crumb = _get_crumb(session)
-        return session, crumb
+        _ = session.get(url, allow_redirects=True)
+    except SSLError:
+        counter = 0
+        while counter < 5:
+            try:
+                session.headers = random.choice(HEADERS)
+                _ = session.get(url, verify=False)
+                break
+            except SSLError:
+                counter += 1
 
+    if not session.cookies:
+        return None, None
 
-def _get_crumb(session):
+    crumb = get_crumb(session)
+    return session.cookies, crumb
+
+
+def get_crumb(session):
     try:
-        response = session.get('https://query2.finance.yahoo.com/v1/test/getcrumb')
-        if isinstance(session, FuturesSession):
-            response = response.result()
+        response = session.get("https://query2.finance.yahoo.com/v1/test/getcrumb")
         return response.text
-    except (ConnectionError, RetryError) as e:
+
+    except (ConnectionError, RetryError):
+        logger.critical(
+            "Failed to obtain crumb.  Ability to retrieve data will be significantly "
+            "limited."
+        )
         # Cookies most likely not set in previous request
         return None
 
 
-def _flatten_list(ls):
+def flatten_list(ls):
     return [item for sublist in ls for item in sublist]
 
 
-def _convert_to_list(symbols, comma_split=False):
+def convert_to_list(symbols, comma_split=False):
     if isinstance(symbols, str):
         if comma_split:
             return [x.strip() for x in symbols.split(",")]
@@ -209,7 +1412,7 @@ def _convert_to_list(symbols, comma_split=False):
     return symbols
 
 
-def _convert_to_timestamp(date=None, start=True):
+def convert_to_timestamp(date=None, start=True):
     if date is not None:
         return int(pd.Timestamp(date).timestamp())
     if start:
@@ -269,7 +1472,7 @@ def _event_as_srs(event_data, event):
         values = [d["amount"] for d in event_data.values()]
     else:
         values = [
-            d["numerator"] / d["denominator"] if d["denominator"] else float('inf')
+            d["numerator"] / d["denominator"] if d["denominator"] else float("inf")
             for d in event_data.values()
         ]
     return pd.Series(values, index=index)
@@ -284,7 +1487,7 @@ def _history_dataframe(data, daily, adj_timezone=True):
         data_dict["adjclose"] = data["indicators"]["adjclose"][0]["adjclose"]
         cols.append("adjclose")
 
-    if 'events' in data:
+    if "events" in data:
         for event, event_data in data["events"].items():
             if event not in ("dividends", "splits"):
                 continue
diff --git a/yahooquery/utils/screeners.py b/yahooquery/utils/screeners.py
index 85e0610..aa828b5 100644
--- a/yahooquery/utils/screeners.py
+++ b/yahooquery/utils/screeners.py
@@ -1,1917 +1,1917 @@
 SCREENERS = {
-  "advertising_agencies": {
-    "desc": "Advertising Agencies Stocks",
-    "id": "b184527b-0fab-4477-b961-af240928f1cc",
-    "title": "Advertising Agencies"
-  },
-  "aerospace_defense": {
-    "desc": "Aerospace & Defense Stocks",
-    "id": "eba4a585-3a33-456e-9c68-eb79d915790d",
-    "title": "Aerospace & Defense"
-  },
-  "aggressive_small_caps": {
-    "desc": "Small cap stocks with high earnings growth rates",
-    "id": "af57f75b-eb22-4565-a604-5eb8744dd35c",
-    "title": "Aggresive small cap stocks"
-  },
-  "agricultural_inputs": {
-    "desc": "Agricultural Inputs Stocks",
-    "id": "3ca22da1-1e29-48f3-975a-6d66a9a7d952",
-    "title": "Agricultural Inputs"
-  },
-  "airlines": {
-    "desc": "Airlines Stocks",
-    "id": "a4a695cf-8fb0-4961-a82e-a353cc15ee1a",
-    "title": "Airlines"
-  },
-  "airports_air_services": {
-    "desc": "Airports & Air Services Stocks",
-    "id": "bba6400e-3d72-4a6a-a813-d91b0724a17c",
-    "title": "Airports & Air Services"
-  },
-  "all_cryptocurrencies_au": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "d4146c38-dd86-418c-b043-82858b3c472d",
-    "title": "All Cryptocurrencies"
-  },
-  "all_cryptocurrencies_ca": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "7d701aca-d272-4d62-8921-fbdf3a5e90cd",
-    "title": "All Cryptocurrencies"
-  },
-  "all_cryptocurrencies_eu": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "56d93251-dc99-492c-b7a9-4335a103c788",
-    "title": "All Cryptocurrencies"
-  },
-  "all_cryptocurrencies_gb": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "b4ee2223-1076-4666-9348-76ec467e6f05",
-    "title": "All Cryptocurrencies"
-  },
-  "all_cryptocurrencies_in": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "ab1f1b1f-e355-49e2-b316-341db363f627",
-    "title": "All Cryptocurrencies"
-  },
-  "all_cryptocurrencies_us": {
-    "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
-    "id": "80046292-2898-474e-841c-7866e4f2fc80",
-    "title": "All Cryptocurrencies"
-  },
-  "aluminum": {
-    "desc": "Aluminum Stocks",
-    "id": "230d75b6-95a2-4a17-ac0e-35e4b1caca3d",
-    "title": "Aluminum"
-  },
-  "analyst_strong_buy_stocks": {
-    "desc": "Stocks with a minimum upside potential of 20% backed by an analyst's strong buy rating.",
-    "id": "704d5655-c714-47a3-a280-069b439d252b",
-    "title": "Analyst Strong Buy Stocks"
-  },
-  "apparel_manufacturing": {
-    "desc": "Apparel Manufacturing Stocks",
-    "id": "97cd324b-b40b-4723-86bd-10e058a50677",
-    "title": "Apparel Manufacturing"
-  },
-  "apparel_retail": {
-    "desc": "Apparel Retail Stocks",
-    "id": "70642ef2-5ff3-4c36-abb0-bfc11c4ccdbb",
-    "title": "Apparel Retail"
-  },
-  "asset_management": {
-    "desc": "Asset Management Stocks",
-    "id": "596c9db6-82cd-47f1-a34a-0f28d8037041",
-    "title": "Asset Management"
-  },
-  "auto_manufacturers": {
-    "desc": "Auto Manufacturers Stocks",
-    "id": "2110abca-fdda-4285-b5db-3cbae61413b5",
-    "title": "Auto Manufacturers"
-  },
-  "auto_parts": {
-    "desc": "Auto Parts Stocks",
-    "id": "8549ed2c-0b33-48f9-9c0e-bd07c39139b2",
-    "title": "Auto Parts"
-  },
-  "auto_truck_dealerships": {
-    "desc": "Auto & Truck Dealerships Stocks",
-    "id": "5b41c320-8868-4e11-9e7a-09bf625a0c59",
-    "title": "Auto & Truck Dealerships"
-  },
-  "banks_diversified": {
-    "desc": "Banks—Diversified Stocks",
-    "id": "983efda1-e27e-4900-9854-9c1acb54fdd4",
-    "title": "Banks—Diversified"
-  },
-  "banks_regional": {
-    "desc": "Banks—Regional Stocks",
-    "id": "8699101a-3199-4f9b-9431-49dcd7d7014c",
-    "title": "Banks—Regional"
-  },
-  "bearish_stocks_right_now": {
-    "desc": "Most recent stocks with a bearish technical pattern detected by Trading Central.",
-    "id": "c2670236-c8bf-459e-a470-668759e02c26",
-    "title": "Bearish Stocks Right Now"
-  },
-  "best_hist_performance_etfs": {
-    "desc": "Discover the ETFs that have performed the best over the past 5 years.",
-    "id": "698f8496-3a8b-4d9d-b2c5-6aa86923b2f6",
-    "title": "Best Historical Performance"
-  },
-  "best_hist_performance_etfs_asia": {
-    "desc": "Discover the ETFs that have performed the best over the past 5 years.",
-    "id": "82cfe7c1-9fe6-42b6-bae4-75edfe1198ef",
-    "title": "Best Historical Performance"
-  },
-  "best_hist_performance_etfs_europe": {
-    "desc": "Discover the ETFs that have performed the best over the past 5 years.",
-    "id": "392fa414-a68d-4dd2-935d-3bb00de31c14",
-    "title": "Best Historical Performance"
-  },
-  "best_hist_performance_mutual_funds": {
-    "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
-    "id": "5fd3a59e-2798-4324-ac78-2fb3c8691c80",
-    "title": "Best Historical Performance"
-  },
-  "best_hist_performance_mutual_funds_asia": {
-    "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
-    "id": "70b50d4d-6a67-427e-9ff5-bf62dcfcea18",
-    "title": "Best Historical Performance"
-  },
-  "best_hist_performance_mutual_funds_europe": {
-    "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
-    "id": "c7bb7c3f-9c49-4bc8-9cac-3ec107e8cbfa",
-    "title": "Best Historical Performance"
-  },
-  "beverages_brewers": {
-    "desc": "Beverages—Brewers Stocks",
-    "id": "3c0198c0-4e49-4715-9ca5-393dcfdef169",
-    "title": "Beverages—Brewers"
-  },
-  "beverages_non_alcoholic": {
-    "desc": "Beverages—Non-Alcoholic Stocks",
-    "id": "1afefde6-58a3-4053-94a0-0715584463ff",
-    "title": "Beverages—Non-Alcoholic"
-  },
-  "beverages_wineries_distilleries": {
-    "desc": "Beverages—Wineries & Distilleries Stocks",
-    "id": "dc49a372-2dd8-4eb0-9107-4088f74b9237",
-    "title": "Beverages—Wineries & Distilleries"
-  },
-  "biotechnology": {
-    "desc": "Biotechnology Stocks",
-    "id": "6fed185c-ed1b-469a-916b-fc1ea70727cf",
-    "title": "Biotechnology"
-  },
-  "bond_etfs": {
-    "desc": "Discover bond-focused ETFs.",
-    "id": "ae3af3ed-c086-418a-8d2a-c689605656b4",
-    "title": "Bond ETFs"
-  },
-  "bond_mutual_funds": {
-    "desc": "Discover bond-focused mutual funds.",
-    "id": "f79d84da-3ca1-403c-ac0f-0424ee0cb33b",
-    "title": "Bond Mutual Funds"
-  },
-  "bond_mutual_funds_asia": {
-    "desc": "Discover bond-focused mutual funds.",
-    "id": "be50285c-ce13-4351-99c6-934e122cfcb4",
-    "title": "Bond Mutual Funds"
-  },
-  "bond_mutual_funds_europe": {
-    "desc": "Discover bond-focused mutual funds.",
-    "id": "9de06523-b236-4982-9f68-0e5b9895ae00",
-    "title": "Bond Mutual Funds"
-  },
-  "broadcasting": {
-    "desc": "Broadcasting Stocks",
-    "id": "46e29339-b0aa-4039-ba50-451c0670ac3a",
-    "title": "Broadcasting"
-  },
-  "building_materials": {
-    "desc": "Building Materials Stocks",
-    "id": "c1e3cbbe-c6ed-417d-ac18-b2803513f6f3",
-    "title": "Building Materials"
-  },
-  "building_products_equipment": {
-    "desc": "Building Products & Equipment Stocks",
-    "id": "7013ce43-4b66-47b3-aa34-1f0ff3cbb2f7",
-    "title": "Building Products & Equipment"
-  },
-  "bullish_stocks_right_now": {
-    "desc": "Most recent stocks with a bullish technical pattern detected by Trading Central.",
-    "id": "663e975d-9bf1-424a-9ce1-634cea6648d6",
-    "title": "Bullish Stocks Right Now"
-  },
-  "business_equipment_supplies": {
-    "desc": "Business Equipment & Supplies Stocks",
-    "id": "c224f924-ccd6-4423-b45d-118e7d597161",
-    "title": "Business Equipment & Supplies"
-  },
-  "capital_markets": {
-    "desc": "Capital Markets Stocks",
-    "id": "d4dc9b04-79ed-4cb9-b3a8-67c9f5c93e2e",
-    "title": "Capital Markets"
-  },
-  "cheapest_etfs": {
-    "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
-    "id": "609681e0-857e-4168-9944-d2afa7a5e3eb",
-    "title": "Cheapest ETFs"
-  },
-  "cheapest_etfs_asia": {
-    "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
-    "id": "612e4c2f-83cc-45d6-80d1-b851d3916e4f",
-    "title": "Cheapest ETFs"
-  },
-  "cheapest_etfs_europe": {
-    "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
-    "id": "93ce8617-984a-4bec-9256-4c832fff8ceb",
-    "title": "Cheapest ETFs"
-  },
-  "cheapest_mutual_funds": {
-    "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
-    "id": "e0467260-410a-49c0-9320-da5fbf2a3e73",
-    "title": "Cheapest Mutual Funds"
-  },
-  "cheapest_mutual_funds_asia": {
-    "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
-    "id": "e0cdbbb3-6a87-4e1b-82c6-ae5d4eb40bb1",
-    "title": "Cheapest Mutual Funds"
-  },
-  "cheapest_mutual_funds_europe": {
-    "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
-    "id": "d63697a6-2488-42f1-8471-90d564f95fee",
-    "title": "Cheapest Mutual Funds"
-  },
-  "chemicals": {
-    "desc": "Chemicals Stocks",
-    "id": "78341de7-2e70-4ff0-9347-d23c731bd87f",
-    "title": "Chemicals"
-  },
-  "coking_coal": {
-    "desc": "Coking Coal Stocks",
-    "id": "165835db-e7c6-4c17-8fce-e5e6829105c7",
-    "title": "Coking Coal"
-  },
-  "commodity_etfs": {
-    "desc": "Discover commodity-focused ETFs.",
-    "id": "6ab335b4-61e8-4d88-86a6-30f1c6c94fa7",
-    "title": "Commodity ETFs"
-  },
-  "commodity_etfs_asia": {
-    "desc": "Discover commodity-focused ETFs.",
-    "id": "f5658ccd-911e-4490-b4c4-78c2dad9ae83",
-    "title": "Commodity ETFs"
-  },
-  "commodity_etfs_europe": {
-    "desc": "Discover commodity-focused ETFs.",
-    "id": "9491c51d-3b6f-48ca-8a6d-6236ee092433",
-    "title": "Commodity ETFs"
-  },
-  "commodity_mutual_funds": {
-    "desc": "Discover commodity-focused mutual funds.",
-    "id": "ca67a1b3-572c-433c-b1a4-a0da3738fc14",
-    "title": "Commodity Metal Mutual Funds"
-  },
-  "communication_equipment": {
-    "desc": "Communication Equipment Stocks",
-    "id": "b750cbb5-d76b-4786-9ec8-ad6ca68a26b8",
-    "title": "Communication Equipment"
-  },
-  "community_sentiment_most_bearish": {
-    "desc": "Community Sentiment Most Bearish",
-    "id": "772fad60-f176-4333-ac4a-af8de320e277",
-    "title": "Community Sentiment Most Bearish"
-  },
-  "community_sentiment_most_bullish": {
-    "desc": "Community Sentiment Most Bullish",
-    "id": "0e85bb19-703c-44a3-b3a3-e9febb3e07e4",
-    "title": "Community Sentiment Most Bullish"
-  },
-  "computer_hardware": {
-    "desc": "Computer Hardware Stocks",
-    "id": "0f691c9d-a971-4a36-936f-9135f87ff6f0",
-    "title": "Computer Hardware"
-  },
-  "confectioners": {
-    "desc": "Confectioners Stocks",
-    "id": "66e04ede-6ddd-4cf5-b3f0-b25666495296",
-    "title": "Confectioners"
-  },
-  "conglomerates": {
-    "desc": "Conglomerates Stocks",
-    "id": "a54ed4a5-cc92-4171-9bc7-24ce06ad5b4f",
-    "title": "Conglomerates"
-  },
-  "conservative_foreign_funds": {
-    "desc": "Foreign funds with Performance Rating of 4 & 5, low risk and top-half returns",
-    "id": "86de34fe-ba77-4c36-be03-19c5d7cf4462",
-    "title": "Conservative Foreign Funds"
-  },
-  "consulting_services": {
-    "desc": "Consulting Services Stocks",
-    "id": "2f05d6e4-7b4d-44e0-9e25-4bc8ad1011fb",
-    "title": "Consulting Services"
-  },
-  "consumer_electronics": {
-    "desc": "Consumer Electronics Stocks",
-    "id": "f4cc7ac5-4c1a-40e5-9271-1e8c59a29bfa",
-    "title": "Consumer Electronics"
-  },
-  "copper": {
-    "desc": "Copper Stocks",
-    "id": "657a2af8-2b4f-4f10-9f36-1e9e14f3aab4",
-    "title": "Copper"
-  },
-  "credit_services": {
-    "desc": "Credit Services Stocks",
-    "id": "08680af3-e653-43a4-b704-b87a20c6716b",
-    "title": "Credit Services"
-  },
-  "day_gainers": {
-    "desc": "Discover the equities with the greatest gains in the trading day.",
-    "id": "ec5bebb9-b7b2-4474-9e5c-3e258b61cbe6",
-    "title": "Day Gainers"
-  },
-  "day_gainers_americas": {
-    "desc": "stocks ordered in descending order by price percent change greater than 3% with respect to the previous close",
-    "id": "0bfef98d-1a4b-449a-9049-737656446e7c",
-    "title": "Day Gainers Americas"
-  },
-  "day_gainers_asia": {
-    "desc": "Discover the equities with the greatest gains in the trading day.",
-    "id": "fe852975-302e-413a-bd9c-7a2d602645e9",
-    "title": "Day Gainers"
-  },
-  "day_gainers_au": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Australia",
-    "id": "d0907194-0b84-44d8-8005-054546c8f66b",
-    "title": "Day Gainers - Australia"
-  },
-  "day_gainers_br": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 3% with respect to the previous close",
-    "id": "8fd79848-c838-46bc-986c-7b97414e7d76",
-    "title": "Day Gainers - Brazil"
-  },
-  "day_gainers_ca": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Canada",
-    "id": "4a047ba4-ba4e-4372-8327-202083a89057",
-    "title": "Day Gainers - Canada"
-  },
-  "day_gainers_cryptocurrencies": {
-    "desc": "Discover the cryptocurrencies with the greatest gains in the last 24 hours.",
-    "id": "79c584ec-a1bc-443a-9330-272abd5f696c",
-    "title": "Day Gainers"
-  },
-  "day_gainers_de": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Germany",
-    "id": "62764a5a-a47b-4a0d-b72a-f454e7b8acfb",
-    "title": "Day Gainers - Germany"
-  },
-  "day_gainers_dji": {
-    "desc": "Day Gainers - Dow Jones Industrials",
-    "id": "9e621bd5-9a7e-4d00-869d-1b1e1b05afd0",
-    "title": "Day Gainers - Dow Jones Industrials"
-  },
-  "day_gainers_es": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Spain",
-    "id": "c50cfd23-75cc-4549-8c57-5029e10f962c",
-    "title": "Day Gainers - Spain"
-  },
-  "day_gainers_etfs": {
-    "desc": "Discover the ETFs with the greatest gains in the trading day.",
-    "id": "2249f0f3-2844-4541-9e6d-3d78527388e2",
-    "title": "Day Gainers"
-  },
-  "day_gainers_etfs_asia": {
-    "desc": "Discover the ETFs with the greatest gains in the trading day.",
-    "id": "c80798fa-27bc-4a09-93c8-2aee34dd5f1f",
-    "title": "Day Gainers"
-  },
-  "day_gainers_etfs_europe": {
-    "desc": "Discover the ETFs with the greatest gains in the trading day.",
-    "id": "774befd7-6ffe-4f5b-83ed-3aeb8be8b161",
-    "title": "Day Gainers"
-  },
-  "day_gainers_europe": {
-    "desc": "Discover the equities with the greatest gains in the trading day.",
-    "id": "43463575-8b42-4762-9d7e-705588a25dcd",
-    "title": "Day Gainers"
-  },
-  "day_gainers_fr": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for France",
-    "id": "9b598d0d-18d5-406e-a807-98d3e63c6afb",
-    "title": "Day Gainers - France"
-  },
-  "day_gainers_gb": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for United Kingdom",
-    "id": "97b9075b-c5ab-4c85-bfd3-9694a061e5d2",
-    "title": "Day Gainers - United Kingdom"
-  },
-  "day_gainers_hk": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Hong Kong",
-    "id": "93505957-f2ce-4666-8f7c-91275819b5f6",
-    "title": "Day Gainers - Hong Kong"
-  },
-  "day_gainers_in": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for India",
-    "id": "134b914f-e393-4b2e-a824-b4be15517cd8",
-    "title": "Day Gainers - India"
-  },
-  "day_gainers_it": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Italy",
-    "id": "9c86c7ac-c474-40d9-8912-1906cfc6cc1c",
-    "title": "Day Gainers - Italy"
-  },
-  "day_gainers_mutual_funds": {
-    "desc": "Discover the mutual funds with the greatest gains in the trading day.",
-    "id": "3f7601e3-e6c6-49fa-863b-7dc58dc325b0",
-    "title": "Day Gainers"
-  },
-  "day_gainers_mutual_funds_asia": {
-    "desc": "Discover the mutual funds with the greatest gains in the trading day.",
-    "id": "ce6aa148-51d9-4652-bddb-92265276eca4",
-    "title": "Day Gainers"
-  },
-  "day_gainers_mutual_funds_europe": {
-    "desc": "Discover the mutual funds with the greatest gains in the trading day.",
-    "id": "f2b8b8f0-cf13-4e5a-8222-e39d8b1d1c47",
-    "title": "Day Gainers"
-  },
-  "day_gainers_ndx": {
-    "desc": "Day Gainers - NASDAQ 100",
-    "id": "d1d6e2ab-ca6f-4a7d-a2f2-d872efc816ef",
-    "title": "Day Gainers - NASDAQ 100"
-  },
-  "day_gainers_nz": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for New Zealand",
-    "id": "faa6cfcd-cb5d-4dfc-8532-3692ee3cc359",
-    "title": "Day Gainers - New Zealand"
-  },
-  "day_gainers_options": {
-    "desc": "Discover the options with the greatest gains in the trading day.",
-    "id": "39bfd52b-6f5f-40a1-bcc8-31a9728277d8",
-    "title": "Day Gainers"
-  },
-  "day_gainers_sg": {
-    "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Singapore",
-    "id": "4d834f86-c0a9-4211-b7a4-3290011892eb",
-    "title": "Day Gainers - Singapore"
-  },
-  "day_losers": {
-    "desc": "Discover the equities with the greatest losses in the trading day.",
-    "id": "8ecefa87-a8b0-434a-9b39-e061a0baef9b",
-    "title": "Day Losers"
-  },
-  "day_losers_americas": {
-    "desc": "stocks ordered in ascending order by price percent change lesser than 2.5% with respect to the previous close",
-    "id": "0e35eb9f-8cf1-4661-a336-e996c1c6f7f8",
-    "title": "Day Losers Americas"
-  },
-  "day_losers_asia": {
-    "desc": "Discover the equities with the greatest losses in the trading day.",
-    "id": "37df3812-b9ee-41f0-87e4-b5f893f3198d",
-    "title": "Day Losers"
-  },
-  "day_losers_au": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Australia",
-    "id": "e8e6731f-0eb9-4377-829c-1f61cb670df4",
-    "title": "Day Losers - Australia"
-  },
-  "day_losers_br": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Brazil",
-    "id": "2dd8e3c9-8755-4d02-9bf3-0dd0640d38f2",
-    "title": "Day Losers - Brazil"
-  },
-  "day_losers_ca": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Canada",
-    "id": "44c0eb22-33f1-4bf9-b4d0-e940838b47f5",
-    "title": "Day Losers - Canada"
-  },
-  "day_losers_cryptocurrencies": {
-    "desc": "Discover the cryptocurrencies with the greatest losses in the last 24 hours.",
-    "id": "97d663ee-cf91-4f53-8cfa-0b8b580d0b11",
-    "title": "Day Losers"
-  },
-  "day_losers_de": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Germany",
-    "id": "953e5166-b2b3-471c-a765-4c1c3c15b2da",
-    "title": "Day Losers - Germany"
-  },
-  "day_losers_dji": {
-    "desc": "Day Losers - Dow Jones Industrials",
-    "id": "c95c79eb-8b89-461b-b4cf-680cf77f057e",
-    "title": "Day Losers - Dow Jones Industrials"
-  },
-  "day_losers_es": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Spain",
-    "id": "80678708-0b02-409b-a378-15965a930d60",
-    "title": "Day Losers - Spain"
-  },
-  "day_losers_etfs": {
-    "desc": "Discover the ETFs with the greatest losses in the trading day.",
-    "id": "d9faac27-b9ef-4f48-be58-6a6549af840f",
-    "title": "Day Losers"
-  },
-  "day_losers_etfs_asia": {
-    "desc": "Discover the ETFs with the greatest losses in the trading day.",
-    "id": "b3439e46-5d04-42c3-8780-4bc4a067bfb9",
-    "title": "Day Losers"
-  },
-  "day_losers_etfs_europe": {
-    "desc": "Discover the ETFs with the greatest losses in the trading day.",
-    "id": "dbe39476-0b84-4333-a1dd-179bd9723a17",
-    "title": "Day Losers"
-  },
-  "day_losers_europe": {
-    "desc": "Discover the equities with the greatest losses in the trading day.",
-    "id": "3dfde79b-6160-4da3-a042-d1a86fd5eff9",
-    "title": "Day Losers"
-  },
-  "day_losers_fr": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for France",
-    "id": "bb9aaa7a-935e-49de-999e-e5b86c9aeefa",
-    "title": "Day Losers - France"
-  },
-  "day_losers_gb": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for United Kingdom",
-    "id": "01a3b7ec-c577-401f-8b19-57d6bbf5ce8e",
-    "title": "Day Losers - United Kingdom"
-  },
-  "day_losers_hk": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Hong Kong",
-    "id": "5d940688-4853-49bd-a3b3-849ca743ad8c",
-    "title": "Day Losers - Hong Kong"
-  },
-  "day_losers_in": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for India",
-    "id": "d17726f5-6c05-4c80-9cc9-3578febcdb3c",
-    "title": "Day Losers - India"
-  },
-  "day_losers_it": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Italy",
-    "id": "46677e46-895d-4c5c-a938-577d80df2180",
-    "title": "Day Losers - Italy"
-  },
-  "day_losers_mutual_funds": {
-    "desc": "Discover the mutual funds with the greatest losses in the trading day.",
-    "id": "3e144242-9d1d-48fe-8426-da808ffe6014",
-    "title": "Day Losers"
-  },
-  "day_losers_mutual_funds_asia": {
-    "desc": "Discover the mutual funds with the greatest losses in the trading day.",
-    "id": "988e04b3-7de5-4cee-8665-46182721f9f5",
-    "title": "Day Losers"
-  },
-  "day_losers_mutual_funds_europe": {
-    "desc": "Discover the mutual funds with the greatest losses in the trading day.",
-    "id": "26340ece-9f3b-47aa-ac23-e695b7021a20",
-    "title": "Day Losers"
-  },
-  "day_losers_ndx": {
-    "desc": "Day Losers - NASDAQ 100",
-    "id": "b72e29e8-dfc2-428e-ab3f-e69df2008457",
-    "title": "Day Losers - NASDAQ 100"
-  },
-  "day_losers_nz": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for New Zealand",
-    "id": "ce6dcbd1-c853-402a-90b4-776865c76f5d",
-    "title": "Day Losers - New Zealand"
-  },
-  "day_losers_options": {
-    "desc": "Discover the options with the greatest losses in the trading day.",
-    "id": "ebfe7fdb-1aa8-4350-9308-899e49bd307a",
-    "title": "Day Losers"
-  },
-  "day_losers_sg": {
-    "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Singapore",
-    "id": "87813bf9-1d84-4d03-9552-d5ee38666ca4",
-    "title": "Day Losers - Singapore"
-  },
-  "department_stores": {
-    "desc": "Department Stores Stocks",
-    "id": "b5c6a46b-d791-4fa2-a293-46c603515959",
-    "title": "Department Stores"
-  },
-  "diagnostics_research": {
-    "desc": "Diagnostics & Research Stocks",
-    "id": "c77f59d3-f26f-43ce-a844-1bc8115257e6",
-    "title": "Diagnostics & Research"
-  },
-  "discount_stores": {
-    "desc": "Discount Stores Stocks",
-    "id": "9dd246ea-0929-4836-aef2-075e4df38087",
-    "title": "Discount Stores"
-  },
-  "drug_manufacturers_general": {
-    "desc": "Drug Manufacturers—General Stocks",
-    "id": "264a8d31-3229-483a-924b-9660bf869f32",
-    "title": "Drug Manufacturers—General"
-  },
-  "drug_manufacturers_specialty_generic": {
-    "desc": "Drug Manufacturers—Specialty & Generic Stocks",
-    "id": "4b782d93-7013-4184-bdd5-61b770c33059",
-    "title": "Drug Manufacturers—Specialty & Generic"
-  },
-  "education_training_services": {
-    "desc": "Education & Training Services Stocks",
-    "id": "0f996a22-ccbf-43ff-81fa-d1c1e4a003c1",
-    "title": "Education & Training Services"
-  },
-  "electrical_equipment_parts": {
-    "desc": "Electrical Equipment & Parts Stocks",
-    "id": "ab10085a-581b-46f5-9950-c663b63414d2",
-    "title": "Electrical Equipment & Parts"
-  },
-  "electronic_components": {
-    "desc": "Electronic Components Stocks",
-    "id": "9a59374c-9f17-45bc-b60f-fde16cd9dd00",
-    "title": "Electronic Components"
-  },
-  "electronic_gaming_multimedia": {
-    "desc": "Electronic Gaming & Multimedia Stocks",
-    "id": "8941e1e5-baf7-407b-8015-926ae079241e",
-    "title": "Electronic Gaming & Multimedia"
-  },
-  "electronics_computer_distribution": {
-    "desc": "Electronics & Computer Distribution Stocks",
-    "id": "917e3a6a-04e3-45bc-96c2-f13a384965c4",
-    "title": "Electronics & Computer Distribution"
-  },
-  "engineering_construction": {
-    "desc": "Engineering & Construction Stocks",
-    "id": "826440a9-075c-483a-9f49-5c088317d8b5",
-    "title": "Engineering & Construction"
-  },
-  "entertainment": {
-    "desc": "Entertainment Stocks",
-    "id": "95861fa9-815d-456b-8057-7ba3be5fd3c8",
-    "title": "Entertainment"
-  },
-  "equity_mutual_funds": {
-    "desc": "Discover mutual funds which are made up of at least 70% equities.",
-    "id": "b3c7923a-b55e-40bc-b4b8-3d92dc3c6bfe",
-    "title": "Equity Mutual Funds"
-  },
-  "farm_heavy_construction_machinery": {
-    "desc": "Farm & Heavy Construction Machinery Stocks",
-    "id": "41805c11-aedb-4e23-8fed-50a6a543cea4",
-    "title": "Farm & Heavy Construction Machinery"
-  },
-  "farm_products": {
-    "desc": "Farm Products Stocks",
-    "id": "11692c0c-3cbe-46cc-87a6-70fb77c65723",
-    "title": "Farm Products"
-  },
-  "fifty_two_wk_gainers": {
-    "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
-    "id": "2958f760-5f00-4e7d-97be-d2d75d161e24",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_asia": {
-    "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
-    "id": "ac6e41c4-2901-4e5a-9305-58f87babb48d",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_cryptocurrencies": {
-    "desc": "Discover the cryptocurrencies with the greatest gains in the last 52 weeks.",
-    "id": "d3a99fd0-1ff6-4307-a25b-a05678704f25",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_etfs": {
-    "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
-    "id": "2a262fab-c342-4653-9c4b-14728b7bceab",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_etfs_asia": {
-    "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
-    "id": "cfb86eb7-0e2e-40e4-b2a9-2a63e2b59a2f",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_etfs_europe": {
-    "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
-    "id": "69a6b655-f3c9-45b0-a28d-9077661c7c04",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_europe": {
-    "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
-    "id": "ae4ff65c-3cf1-48ea-aa10-de00472d0e30",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_mutual_funds": {
-    "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
-    "id": "5cad2dcc-0ec1-4c97-bc72-0244e3c2bbdf",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_mutual_funds_asia": {
-    "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
-    "id": "c162235a-4624-4301-849f-c34c40d7b7cc",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_gainers_mutual_funds_europe": {
-    "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
-    "id": "38bac306-de8a-4ae4-858f-0f959e1ea961",
-    "title": "52-Week Gainers"
-  },
-  "fifty_two_wk_losers": {
-    "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
-    "id": "5176dd5b-d919-4d85-a687-c71326d2de92",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_asia": {
-    "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
-    "id": "1417ea6b-99c2-4bcd-8956-57a43da68646",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_cryptocurrencies": {
-    "desc": "Discover the cryptocurrencies with the greatest losses in the last 52 weeks.",
-    "id": "6248a532-2d42-4a05-bbb8-ee745f3aaee8",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_etfs": {
-    "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
-    "id": "23ce67d2-e283-4fbe-ab5b-089102afe9e2",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_etfs_asia": {
-    "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
-    "id": "85d56d74-8e28-442e-b0fb-51cb75691270",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_etfs_europe": {
-    "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
-    "id": "758ee256-c89f-4f6c-bac6-7cccb13d7f40",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_europe": {
-    "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
-    "id": "de97db3f-6b73-4b0c-b85a-1279d4079d93",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_mutual_funds": {
-    "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
-    "id": "d0d2d56f-0b6d-48fe-a1cd-e3063ee14132",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_mutual_funds_asia": {
-    "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
-    "id": "02f70157-2018-4b44-9ee7-3f8e5201d402",
-    "title": "52-Week Losers"
-  },
-  "fifty_two_wk_losers_mutual_funds_europe": {
-    "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
-    "id": "27dc6a8b-1ac0-4a5e-87d0-dcaa4160d0e5",
-    "title": "52-Week Losers"
-  },
-  "financial_conglomerates": {
-    "desc": "Financial Conglomerates Stocks",
-    "id": "3d48d904-53ab-456a-ba55-020be6a82445",
-    "title": "Financial Conglomerates"
-  },
-  "financial_data_stock_exchanges": {
-    "desc": "Financial Data & Stock Exchanges Stocks",
-    "id": "c42b137d-6d9c-4c16-8822-49b74ffcf8ec",
-    "title": "Financial Data & Stock Exchanges"
-  },
-  "food_distribution": {
-    "desc": "Food Distribution Stocks",
-    "id": "e5e6e726-58d0-4080-bce2-812854ab3d87",
-    "title": "Food Distribution"
-  },
-  "footwear_accessories": {
-    "desc": "Footwear & Accessories Stocks",
-    "id": "fdc83b05-5a96-4e33-aa85-51191ca69295",
-    "title": "Footwear & Accessories"
-  },
-  "furnishings_fixtures_appliances": {
-    "desc": "Furnishings, Fixtures & Appliances Stocks",
-    "id": "71710d80-fd39-4ba1-96b4-df8826e2f91f",
-    "title": "Furnishings, Fixtures & Appliances"
-  },
-  "gambling": {
-    "desc": "Gambling Stocks",
-    "id": "189dfab8-6cd6-4838-a13a-c3551c6ae0b2",
-    "title": "Gambling"
-  },
-  "gold": {
-    "desc": "Gold Stocks",
-    "id": "f5d2411d-4fe6-4904-867e-f01ce9b99740",
-    "title": "Gold"
-  },
-  "grocery_stores": {
-    "desc": "Grocery Stores Stocks",
-    "id": "92b77f75-05ee-4662-93cc-60002d8b7a63",
-    "title": "Grocery Stores"
-  },
-  "growth_technology_stocks": {
-    "desc": "Technology stocks with revenue and earnings growth in excess of 25%.",
-    "id": "e0c43708-7fa1-4f02-9425-697c0443d32f",
-    "title": "Growth Technology Stocks"
-  },
-  "health_information_services": {
-    "desc": "Health Information Services Stocks",
-    "id": "efaac38f-c789-4a6a-92ec-111077f4af8a",
-    "title": "Health Information Services"
-  },
-  "healthcare_plans": {
-    "desc": "Healthcare Plans Stocks",
-    "id": "33d768c1-5f65-4896-89ed-d8e7d001c9b8",
-    "title": "Healthcare Plans"
-  },
-  "high_growth_large_etfs": {
-    "desc": "Discover large cap, high growth-focused ETFs.",
-    "id": "092168ea-b0c5-4361-b509-7a3289bcb9d2",
-    "title": "High growth, Large ETFs"
-  },
-  "high_growth_large_mutual_funds": {
-    "desc": "Discover large cap, high growth-focused mutual funds.",
-    "id": "fd0425d1-a9f6-491a-9320-fd37995fbaba",
-    "title": "High Growth, Large Mutual Funds"
-  },
-  "high_yield_bond": {
-    "desc": "High Yield Bond with Performance Rating of 4 & 5, low risk and top-half returns",
-    "id": "d675527c-bc6a-486c-872d-bca43fbb4322",
-    "title": "High Yield Bond"
-  },
-  "high_yield_high_return": {
-    "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
-    "id": "f6ae7898-0c88-489e-897f-b1fc42e211cb",
-    "title": "High Yield, High Return"
-  },
-  "high_yield_high_return_asia": {
-    "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
-    "id": "2e35021d-b56b-4b02-b07a-1174042c4add",
-    "title": "High Yield, High Return"
-  },
-  "high_yield_high_return_europe": {
-    "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
-    "id": "096683a2-e083-4a21-8203-9c4ac116db01",
-    "title": "High Yield, High Return"
-  },
-  "home_improvement_retail": {
-    "desc": "Home Improvement Retail Stocks",
-    "id": "13803724-428d-4fbe-8825-012987d3bdd2",
-    "title": "Home Improvement Retail"
-  },
-  "household_personal_products": {
-    "desc": "Household & Personal Products Stocks",
-    "id": "4b2d4303-6233-41e4-ae0c-ffec11fa34f0",
-    "title": "Household & Personal Products"
-  },
-  "industrial_distribution": {
-    "desc": "Industrial Distribution Stocks",
-    "id": "3a920780-96d6-44d0-87b9-6946886286d8",
-    "title": "Industrial Distribution"
-  },
-  "information_technology_services": {
-    "desc": "Information Technology Services Stocks",
-    "id": "b3631428-79da-4b51-a689-1dc4bf80aec2",
-    "title": "Information Technology Services"
-  },
-  "infrastructure_operations": {
-    "desc": "Infrastructure Operations Stocks",
-    "id": "04696a3f-8c50-48d6-919d-6cde073cac0d",
-    "title": "Infrastructure Operations"
-  },
-  "insurance_brokers": {
-    "desc": "Insurance Brokers Stocks",
-    "id": "d1d36030-5858-4e02-a955-f8b9271e20aa",
-    "title": "Insurance Brokers"
-  },
-  "insurance_diversified": {
-    "desc": "Insurance—Diversified Stocks",
-    "id": "1081c88c-1be2-4f26-a435-ac87883e9ddd",
-    "title": "Insurance—Diversified"
-  },
-  "insurance_life": {
-    "desc": "Insurance—Life Stocks",
-    "id": "da5f094b-418c-4649-8aa1-9bc4ee3d4ca3",
-    "title": "Insurance—Life"
-  },
-  "insurance_property_casualty": {
-    "desc": "Insurance—Property & Casualty Stocks",
-    "id": "b64e6ae9-0b59-4141-921a-2f1bec699e18",
-    "title": "Insurance—Property & Casualty"
-  },
-  "insurance_reinsurance": {
-    "desc": "Insurance—Reinsurance Stocks",
-    "id": "5c932600-a02c-493a-b865-c101c945b388",
-    "title": "Insurance—Reinsurance"
-  },
-  "insurance_specialty": {
-    "desc": "Insurance—Specialty Stocks",
-    "id": "941a8783-8f96-42a1-82ea-a30a60dd704d",
-    "title": "Insurance—Specialty"
-  },
-  "integrated_freight_logistics": {
-    "desc": "Integrated Freight & Logistics Stocks",
-    "id": "7e94aa31-e0fd-4bba-9c01-a4d1fcd80ff6",
-    "title": "Integrated Freight & Logistics"
-  },
-  "internet_content_information": {
-    "desc": "Internet Content & Information Stocks",
-    "id": "92fa63be-f396-43f0-a1d0-93cb109d1b8f",
-    "title": "Internet Content & Information"
-  },
-  "internet_retail": {
-    "desc": "Internet Retail Stocks",
-    "id": "9573ad47-1820-4a52-b244-ddc0edc0db1c",
-    "title": "Internet Retail"
-  },
-  "large_blend_etfs": {
-    "desc": "Discover the ETFs with a mix of large cap growth and value stocks.",
-    "id": "03b61465-e574-4100-b0ba-508ad235c061",
-    "title": "Large Blend"
-  },
-  "large_blend_mutual_funds": {
-    "desc": "Discover the mutual funds with a mix of large cap growth and value stocks.",
-    "id": "7338519d-5dbc-4609-9ab6-627d58253a8a",
-    "title": "Large Blend"
-  },
-  "largest_market_cap": {
-    "desc": "Uncover the equities with the largest market cap.",
-    "id": "e6e3b1e2-65bc-48a1-8274-a06676f3f969",
-    "title": "Largest Market Cap"
-  },
-  "largest_market_cap_asia": {
-    "desc": "Uncover the equities with the largest market cap.",
-    "id": "ad808afe-47db-4905-9bd4-086032bda47f",
-    "title": "Largest Market Cap"
-  },
-  "largest_market_cap_cryptocurrencies": {
-    "desc": "Uncover the crypto with the largest market cap.",
-    "id": "e8ec0193-36cb-4b26-aeba-2eb087fb4b79",
-    "title": "Largest Market Cap"
-  },
-  "largest_market_cap_europe": {
-    "desc": "Uncover the equities with the largest market cap.",
-    "id": "504528d9-365f-4f97-ad08-7240eddd2bef",
-    "title": "Largest Market Cap"
-  },
-  "latest_analyst_upgraded_stocks": {
-    "desc": "Most recent stocks that get upgraded by an Analyst.",
-    "id": "54e61871-8def-46d5-8b71-75baeff8cc89",
-    "title": "Latest Analyst Upgraded Stocks"
-  },
-  "leisure": {
-    "desc": "Leisure Stocks",
-    "id": "fd998bdb-54a6-4352-81c7-3aa40f9b4b81",
-    "title": "Leisure"
-  },
-  "lodging": {
-    "desc": "Lodging Stocks",
-    "id": "af876331-70bf-4cea-8a03-6bb40877e689",
-    "title": "Lodging"
-  },
-  "low_risk_mutual_funds": {
-    "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
-    "id": "e065a28e-65e3-49ee-8c38-54be12b0db97",
-    "title": "Low Risk Mutual Funds"
-  },
-  "low_risk_mutual_funds_asia": {
-    "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
-    "id": "9e00c0b2-b1f0-4b22-9de6-d76f2d58179a",
-    "title": "Low Risk Mutual Funds"
-  },
-  "low_risk_mutual_funds_europe": {
-    "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
-    "id": "3b7b021e-1248-457f-874a-efe78018dcb7",
-    "title": "Low Risk Mutual Funds"
-  },
-  "lumber_wood_production": {
-    "desc": "Lumber & Wood Production Stocks",
-    "id": "6e3842f8-1918-4fa2-a4a4-a3245690515a",
-    "title": "Lumber & Wood Production"
-  },
-  "luxury_goods": {
-    "desc": "Luxury Goods Stocks",
-    "id": "47e6d361-29f2-4e41-b66d-9aeaba30e821",
-    "title": "Luxury Goods"
-  },
-  "marine_shipping": {
-    "desc": "Marine Shipping Stocks",
-    "id": "410de1b4-f066-48f4-bc67-72c9731c78ce",
-    "title": "Marine Shipping"
-  },
-  "medical_care_facilities": {
-    "desc": "Medical Care Facilities Stocks",
-    "id": "819f5f80-ec31-4b5a-97ac-d6efed328ccb",
-    "title": "Medical Care Facilities"
-  },
-  "medical_devices": {
-    "desc": "Medical Devices Stocks",
-    "id": "2865489f-9a23-489f-8545-c6e1ad7bcdfc",
-    "title": "Medical Devices"
-  },
-  "medical_distribution": {
-    "desc": "Medical Distribution Stocks",
-    "id": "f24eac61-a63a-4061-9973-30aef1897154",
-    "title": "Medical Distribution"
-  },
-  "medical_instruments_supplies": {
-    "desc": "Medical Instruments & Supplies Stocks",
-    "id": "5dcc2018-5313-4a27-b9a9-45ee0dcdda72",
-    "title": "Medical Instruments & Supplies"
-  },
-  "mega_cap_hc": {
-    "desc": "Stocks with Mega Cap in healthcare industry",
-    "id": "86889bb3-e9d9-464d-956a-4abe5a9728db",
-    "title": "Mega Cap Healthcare"
-  },
-  "metal_fabrication": {
-    "desc": "Metal Fabrication Stocks",
-    "id": "05acca9e-1aee-44b6-8224-c92459eb2ed8",
-    "title": "Metal Fabrication"
-  },
-  "morningstar_five_star_stocks": {
-    "desc": "A 5-star rating indicates that the stock is trading meaningfully below fair value with an exciting discount.",
-    "id": "c8235580-5fb0-47ae-9f5c-e70f2a0cbe5d",
-    "title": "Morningstar 5-Star Stocks"
-  },
-  "mortgage_finance": {
-    "desc": "Mortgage Finance Stocks",
-    "id": "fe8052af-d7ed-41bf-933d-dd0b4239e869",
-    "title": "Mortgage Finance"
-  },
-  "most_actives": {
-    "desc": "Discover the most traded equities in the trading day.",
-    "id": "437465ef-980e-4d8c-a860-de7cbfbab373",
-    "title": "Most Actives"
-  },
-  "most_actives_americas": {
-    "desc": "Stocks ordered in descending order by intraday trade volume",
-    "id": "a143f34f-7d90-473b-855b-67787326ce2c",
-    "title": "Most Actives Americas"
-  },
-  "most_actives_asia": {
-    "desc": "Discover the most traded equities in the trading day.",
-    "id": "2e23187d-c4ff-48a5-b498-161a80b0145b",
-    "title": "Most Actives"
-  },
-  "most_actives_au": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Australia",
-    "id": "d0dad29a-9a50-445b-8ca4-1367e51826eb",
-    "title": "Most Actives - Australia"
-  },
-  "most_actives_br": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Brazil",
-    "id": "ec23a32d-e108-465f-9d4b-e5db1d934f2e",
-    "title": "Most Actives - Brazil"
-  },
-  "most_actives_ca": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Canada",
-    "id": "5026cc58-c878-4f43-af38-efbffadce77f",
-    "title": "Most Actives - Canada"
-  },
-  "most_actives_cn": {
-    "desc": "Stocks ordered in descending order by intraday trade volume",
-    "id": "b22d26a2-754c-4723-aefc-de09eca12462",
-    "title": "Most Actives - CN"
-  },
-  "most_actives_cryptocurrencies": {
-    "desc": "Discover the most traded cryptocurrencies in the last 24 hours.",
-    "id": "28d9ee6a-e0e2-4e19-be0f-cda4b7ae384c",
-    "title": "Most Actives"
-  },
-  "most_actives_de": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Germany",
-    "id": "5b4148d2-5a6d-4466-b663-b5895f5bc583",
-    "title": "Most Actives - Germany"
-  },
-  "most_actives_dji": {
-    "desc": "Stocks ordered in descending order by intraday trade volume",
-    "id": "a423c5d4-9eff-4fb5-9995-93d06480ea91",
-    "title": "Most Actives - Dow Jones Industrial Average"
-  },
-  "most_actives_es": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Spain",
-    "id": "8d1545dc-2fd9-4cac-854e-88f74c54b5dc",
-    "title": "Most Actives - Spain"
-  },
-  "most_actives_etfs": {
-    "desc": "Discover the most traded ETFs in the trading day.",
-    "id": "76320b05-b87f-4d78-a8d7-11868c28cb44",
-    "title": "Most Actives"
-  },
-  "most_actives_etfs_asia": {
-    "desc": "Discover the most traded ETFs in the trading day.",
-    "id": "6add3eb0-1494-4756-abe5-6e30c6649293",
-    "title": "Most Actives"
-  },
-  "most_actives_etfs_europe": {
-    "desc": "Discover the most traded ETFs in the trading day.",
-    "id": "cd21364c-397a-4d79-ba4c-4fc801614242",
-    "title": "Most Actives"
-  },
-  "most_actives_europe": {
-    "desc": "Discover the most traded equities in the trading day.",
-    "id": "c46c7edd-c97f-4929-9ade-77ec21b86c18",
-    "title": "Most Actives"
-  },
-  "most_actives_fr": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for France",
-    "id": "05f97149-f902-4cd3-8f72-f7768ac673e0",
-    "title": "Most Actives - France"
-  },
-  "most_actives_gb": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for United Kingdom",
-    "id": "433c5af8-f58f-4d92-8338-7d928f558a0d",
-    "title": "Most Actives - United Kingdom"
-  },
-  "most_actives_hk": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Hong Kong",
-    "id": "9dbdb8ef-d0c2-446f-baab-be6997a20be8",
-    "title": "Most Actives - Hong Kong"
-  },
-  "most_actives_in": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for India",
-    "id": "09a035cc-f535-4249-bfae-ed95e7a9e12e",
-    "title": "Most Actives - India"
-  },
-  "most_actives_it": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Italy",
-    "id": "2ec96414-6fb7-4da4-8600-cf6f82d0e6d8",
-    "title": "Most Actives - Italy"
-  },
-  "most_actives_ndx": {
-    "desc": "Stocks ordered in descending order by intraday trade volume",
-    "id": "393c6a0f-d975-45a7-91b5-478fd3847b31",
-    "title": "Most Actives - NASDAQ 100"
-  },
-  "most_actives_nz": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for New Zealand",
-    "id": "b6b57880-3ce5-4f10-943b-a5b6dbf77f4d",
-    "title": "Most Actives - New Zealand"
-  },
-  "most_actives_options": {
-    "desc": "Discover the most traded options in the trading day.",
-    "id": "924cd8e4-e16e-49b1-a7ea-6a1a471fa3f5",
-    "title": "Most Actives"
-  },
-  "most_actives_sg": {
-    "desc": "Stocks ordered in descending order by intraday trade volume for Singapore",
-    "id": "96384b8f-b161-4eef-abf8-d1ce290da125",
-    "title": "Most Actives - Singapore"
-  },
-  "most_institutionally_bought_large_cap_stocks": {
-    "desc": "Large cap stocks with the highest institutional buying as a percentage of its outstanding shares.",
-    "id": "18feeba8-323c-4905-9300-b6f72af3e497",
-    "title": "Most Institutionally Bought Large Cap Stocks"
-  },
-  "most_institutionally_held_large_cap_stocks": {
-    "desc": "Large cap stocks with the highest institutional ownership as a percentage of its outstanding shares.",
-    "id": "d9bf8961-0dab-4e7a-89d2-91bbcff87da6",
-    "title": "Most Institutionally Held Large Cap Stocks"
-  },
-  "most_institutionally_sold_large_cap_stocks": {
-    "desc": "Large cap stocks with the highest institutional selling as a percentage of its outstanding shares.",
-    "id": "ef8cb87e-0d8c-46ad-8512-59113286ea50",
-    "title": "Most Institutionally Sold Large Cap Stocks"
-  },
-  "most_shorted_stocks": {
-    "desc": "Stocks with the highest short interest positions from Nasdaq and NYSE reports released every two weeks.",
-    "id": "679b1d2b-95d6-4731-9fd1-f9539ede458c",
-    "title": "Most Shorted Stocks"
-  },
-  "most_visited": {
-    "desc": "Stocks ordered in descending order by weekly page view growth",
-    "id": "9bff655f-1d5c-47b8-b662-1c9d052a1df0",
-    "title": "Most Visited Companies"
-  },
-  "most_visited_basic_materials": {
-    "desc": "Stocks in the Basic Materials sector ordered in descending order by weekly page view growth",
-    "id": "89ffe95d-8d19-4628-bbf6-092fa8cf4453",
-    "title": "Most Visited Basic Materials Companies"
-  },
-  "most_visited_communication_services": {
-    "desc": "Stocks in the Communication Services sector ordered in descending order by weekly page view growth",
-    "id": "720f5d28-44d7-4c0b-9cb5-4c4d4b117845",
-    "title": "Most Visited Communication Services Companies"
-  },
-  "most_visited_consumer_cyclical": {
-    "desc": "Stocks in the Consumer Cyclical sector ordered in descending order by weekly page view growth",
-    "id": "78fb9235-9d53-4fd6-a924-952593e75243",
-    "title": "Most Visited Consumer Cyclical Companies"
-  },
-  "most_visited_consumer_defensive": {
-    "desc": "Stocks in the Consumer Defensive sector ordered in descending order by weekly page view growth",
-    "id": "5c09c497-4f26-4055-98dc-97e25709db6e",
-    "title": "Most Visited Consumer Defensive Companies"
-  },
-  "most_visited_energy": {
-    "desc": "Stocks in the Energy sector ordered in descending order by weekly page view growth",
-    "id": "aa7dd02f-3495-4a6d-a0be-2eb42b231f94",
-    "title": "Most Visited Energy Companies"
-  },
-  "most_visited_financial_services": {
-    "desc": "Stocks in the Financial Services sector ordered in descending order by weekly page view growth",
-    "id": "c207c8b1-796b-4a39-a4a0-5f7d8b341b09",
-    "title": "Most Visited Financial Services Companies"
-  },
-  "most_visited_healthcare": {
-    "desc": "Stocks in the Healthcare sector ordered in descending order by weekly page view growth",
-    "id": "c66c4173-2f75-49eb-b9a1-659a535a48dc",
-    "title": "Most Visited Healthcare Companies"
-  },
-  "most_visited_industrials": {
-    "desc": "Stocks in the Industrials sector ordered in descending order by weekly page view growth",
-    "id": "2fd2ac4a-f6b7-45bc-910a-b5c9965ddc72",
-    "title": "Most Visited Industrials Companies"
-  },
-  "most_visited_real_estate": {
-    "desc": "Stocks in the Real Estate sector ordered in descending order by weekly page view growth",
-    "id": "e79defb1-9fad-4033-8a89-f4c58da39629",
-    "title": "Most Visited Real Estate Companies"
-  },
-  "most_visited_technology": {
-    "desc": "Stocks in the Technology sector ordered in descending order by weekly page view growth",
-    "id": "d52b84f8-818a-427a-880a-4df2d6112e9a",
-    "title": "Most Visited Technology Companies"
-  },
-  "most_visited_utilities": {
-    "desc": "Stocks in the Utilities sector ordered in descending order by weekly page view growth",
-    "id": "038d9521-ad03-4ba2-8061-30a49493059c",
-    "title": "Most Visited Utilities Companies"
-  },
-  "most_watched_tickers": {
-    "desc": "Top 30 tickers with highest portfolioheldcount",
-    "id": "04c9d12e-f0a3-4ab8-bab8-904a2d1c3ab2",
-    "title": "Most added to watchlist"
-  },
-  "ms_basic_materials": {
-    "desc": "Basic Materials ordered by intra day market cap for US region",
-    "id": "a4f8a58b-e458-44fe-b304-04af382a364e",
-    "title": "Basic Materials Sector"
-  },
-  "ms_communication_services": {
-    "desc": "Communication Services ordered by intra day market cap for US region",
-    "id": "b8a44a72-2d49-4a2f-9261-f0fff3c2e4e2",
-    "title": "Communication Services Sector"
-  },
-  "ms_consumer_cyclical": {
-    "desc": "Consumer Cyclical ordered by intra day market cap for US region",
-    "id": "4969e5a1-b0e0-416e-9ae3-191414339e3a",
-    "title": "Consumer Cyclical Sector"
-  },
-  "ms_consumer_defensive": {
-    "desc": "Consumer Defensive ordered by intra day market cap for US region",
-    "id": "6a15b340-2e3c-44a6-b339-b7ae5c097be5",
-    "title": "Consumer Defensive Sector"
-  },
-  "ms_energy": {
-    "desc": "Energy Services ordered by intra day market cap for US region",
-    "id": "2efb4ff8-64f4-4941-abb5-a399a6d0f66a",
-    "title": "Energy Services Sector"
-  },
-  "ms_financial_services": {
-    "desc": "Financial Services ordered by intra day market cap for US region",
-    "id": "667f5248-3710-40d9-8d95-6582fdfa254c",
-    "title": "Financial Services Sector"
-  },
-  "ms_healthcare": {
-    "desc": "Healthcare ordered by intra day market cap for US region",
-    "id": "e568d534-af60-4d20-a192-93bd4508f1bf",
-    "title": "Healthcare Sector"
-  },
-  "ms_industrials": {
-    "desc": "Industrials Services ordered by intra day market cap for US region",
-    "id": "caf102b6-2c28-4abc-9d81-b13d710af432",
-    "title": "Industrials Services Sector"
-  },
-  "ms_real_estate": {
-    "desc": "Real Estate ordered by intra day market cap for US region",
-    "id": "69d56754-89fd-4bc4-9f57-66ed42291311",
-    "title": "Real Estate Sector"
-  },
-  "ms_technology": {
-    "desc": "Technology Services ordered by intra day market cap for US region",
-    "id": "c7b3f121-188a-4846-83e4-f049fab045cd",
-    "title": "Technology Services Sector"
-  },
-  "ms_utilities": {
-    "desc": "Utilities ordered by intra day market cap for US region",
-    "id": "590cedc7-6ddc-40dc-9839-68b0c1572274",
-    "title": "Utilities Sector"
-  },
-  "net_net_strategy": {
-    "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
-    "id": "f3afc5dd-cbc3-4c7b-82ae-2835963be5ec",
-    "title": "Net-Net Strategy"
-  },
-  "net_net_strategy_asia": {
-    "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
-    "id": "73791934-528b-44e3-808b-4cd1a24424ac",
-    "title": "Net-Net Strategy"
-  },
-  "net_net_strategy_europe": {
-    "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
-    "id": "bf211886-2e58-49ca-9d32-ff1f8fa6293b",
-    "title": "Net-Net Strategy"
-  },
-  "oil_gas_drilling": {
-    "desc": "Oil & Gas Drilling Stocks",
-    "id": "75c335ad-77c8-4368-9932-bfb462c3dc06",
-    "title": "Oil & Gas Drilling"
-  },
-  "oil_gas_e_p": {
-    "desc": "Oil & Gas E&P Stocks",
-    "id": "40cd525d-2b36-40c4-bc95-33b133422ab0",
-    "title": "Oil & Gas E&P"
-  },
-  "oil_gas_equipment_services": {
-    "desc": "Oil & Gas Equipment & Services Stocks",
-    "id": "051612b8-dbf2-44ac-9ee8-d0a0e105b199",
-    "title": "Oil & Gas Equipment & Services"
-  },
-  "oil_gas_integrated": {
-    "desc": "Oil & Gas Integrated Stocks",
-    "id": "f4804676-79ae-4d01-8e45-6f52f85998c9",
-    "title": "Oil & Gas Integrated"
-  },
-  "oil_gas_midstream": {
-    "desc": "Oil & Gas Midstream Stocks",
-    "id": "00374e32-6fb7-44c4-b828-1ba7b3080cf2",
-    "title": "Oil & Gas Midstream"
-  },
-  "oil_gas_refining_marketing": {
-    "desc": "Oil & Gas Refining & Marketing Stocks",
-    "id": "59bef9a7-5bb4-4e67-8b22-513227cc55d6",
-    "title": "Oil & Gas Refining & Marketing"
-  },
-  "other_industrial_metals_mining": {
-    "desc": "Other Industrial Metals & Mining Stocks",
-    "id": "2e1dd2f6-189b-4fb0-857d-79aec8ecef15",
-    "title": "Other Industrial Metals & Mining"
-  },
-  "other_precious_metals_mining": {
-    "desc": "Other Precious Metals & Mining Stocks",
-    "id": "62e97ea1-46c8-4e6e-86f2-901a4ffa8b47",
-    "title": "Other Precious Metals & Mining"
-  },
-  "packaged_foods": {
-    "desc": "Packaged Foods Stocks",
-    "id": "208c5e2a-b05c-40bc-8d92-6a0e97570556",
-    "title": "Packaged Foods"
-  },
-  "packaging_containers": {
-    "desc": "Packaging & Containers Stocks",
-    "id": "70c912eb-3cfb-4dab-ae94-4f81d0910ea6",
-    "title": "Packaging & Containers"
-  },
-  "paper_paper_products": {
-    "desc": "Paper & Paper Products Stocks",
-    "id": "f75ad8b4-22c7-4aba-b93b-1f543191f5bf",
-    "title": "Paper & Paper Products"
-  },
-  "personal_services": {
-    "desc": "Personal Services Stocks",
-    "id": "7d89c0ef-3d77-47e0-9d30-b723ee9d824b",
-    "title": "Personal Services"
-  },
-  "pharmaceutical_retailers": {
-    "desc": "Pharmaceutical Retailers Stocks",
-    "id": "293a91a7-b9e5-4b39-9792-4624bc78b99e",
-    "title": "Pharmaceutical Retailers"
-  },
-  "pollution_treatment_controls": {
-    "desc": "Pollution & Treatment Controls Stocks",
-    "id": "5bd0d463-53ed-4ad4-bcd4-de0efa8460d3",
-    "title": "Pollution & Treatment Controls"
-  },
-  "portfolio_actions_most_added": {
-    "desc": "Portfolio Actions Most Added",
-    "id": "288f1df3-0be8-4ecf-8131-03337550b7ed",
-    "title": "Portfolio Actions Most Added"
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-    "id": "7a0584d9-28a1-4a94-ac68-21f0aab91c4a",
-    "title": "Portfolio Anchors"
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-    "id": "63e7f272-cd8d-4307-9002-eb98746a036a",
-    "title": "Precious Metal ETFs"
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-  "precious_metal_mutual_funds": {
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-    "title": "Precious Metal Mutual Funds"
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-    "id": "9061cba6-4150-47e0-ba32-bc59f824a6da",
-    "title": "Publishing"
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-    "id": "493c9c2f-8e7c-4e10-8287-608567b59d56",
-    "title": "Railroads"
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-    "desc": "Cathie Wood's top holdings as reported on her 13F filings.",
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-    "desc": "Stocks with earnings growth rates better than 25% and relatively low PE and PEG ratios.",
-    "id": "b597175e-7243-4b42-82da-6811218a0945",
-    "title": "Undervalued Growth Stocks"
-  },
-  "undervalued_large_caps": {
-    "desc": "Large cap stocks that are potentially undervalued, ordered descending by volume",
-    "id": "e31b19b8-efe0-4ed1-8856-7715c2ef858d",
-    "title": "Potentially undervalued large cap stocks"
-  },
-  "undervalued_wide_moat_stocks": {
-    "desc": "Morningstar's undervalued stocks with a sustainable competitive advantage. A company with a wide economic moat can fend off competition for at least 20 years and earn high returns on capital for many years to come.",
-    "id": "0eaa1603-5d0a-427d-80f2-c69087dba4de",
-    "title": "Undervalued Wide-Moat Stocks"
-  },
-  "upside_breakout_stocks_daily": {
-    "desc": "Upside breakout stocks on a daily chart by Trading Central",
-    "id": "c8d23d60-84e3-4f32-8bca-fb2f04251390",
-    "title": "Upside Breakout Stocks"
-  },
-  "uranium": {
-    "desc": "Uranium Stocks",
-    "id": "c5467aa6-39ac-4ec3-bc0b-213e72ae9149",
-    "title": "Uranium"
-  },
-  "utilities_diversified": {
-    "desc": "Utilities—Diversified Stocks",
-    "id": "ba4e7e3d-d570-4d48-a85f-a81321233703",
-    "title": "Utilities—Diversified"
-  },
-  "utilities_independent_power_producers": {
-    "desc": "Utilities—Independent Power Producers Stocks",
-    "id": "ca979acd-b141-490a-b9e4-f5e03d23f7f9",
-    "title": "Utilities—Independent Power Producers"
-  },
-  "utilities_regulated_electric": {
-    "desc": "Utilities—Regulated Electric Stocks",
-    "id": "d15b8324-aa7d-421c-9da3-51a2e963bbda",
-    "title": "Utilities—Regulated Electric"
-  },
-  "utilities_regulated_gas": {
-    "desc": "Utilities—Regulated Gas Stocks",
-    "id": "7af3cba2-209a-4efd-968a-332e4e0bd0a3",
-    "title": "Utilities—Regulated Gas"
-  },
-  "utilities_regulated_water": {
-    "desc": "Utilities—Regulated Water Stocks",
-    "id": "74930302-d4d3-4425-933b-4ef26a41a446",
-    "title": "Utilities—Regulated Water"
-  },
-  "utilities_renewable": {
-    "desc": "Utilities—Renewable Stocks",
-    "id": "5fd7ee7b-4966-4db3-b427-d87b3cd0995a",
-    "title": "Utilities—Renewable"
-  },
-  "waste_management": {
-    "desc": "Waste Management Stocks",
-    "id": "76d69c29-2f57-4606-88f8-7fbbc2442430",
-    "title": "Waste Management"
-  }
-}
\ No newline at end of file
+    "advertising_agencies": {
+        "desc": "Advertising Agencies Stocks",
+        "id": "b184527b-0fab-4477-b961-af240928f1cc",
+        "title": "Advertising Agencies",
+    },
+    "aerospace_defense": {
+        "desc": "Aerospace & Defense Stocks",
+        "id": "eba4a585-3a33-456e-9c68-eb79d915790d",
+        "title": "Aerospace & Defense",
+    },
+    "aggressive_small_caps": {
+        "desc": "Small cap stocks with high earnings growth rates",
+        "id": "af57f75b-eb22-4565-a604-5eb8744dd35c",
+        "title": "Aggresive small cap stocks",
+    },
+    "agricultural_inputs": {
+        "desc": "Agricultural Inputs Stocks",
+        "id": "3ca22da1-1e29-48f3-975a-6d66a9a7d952",
+        "title": "Agricultural Inputs",
+    },
+    "airlines": {
+        "desc": "Airlines Stocks",
+        "id": "a4a695cf-8fb0-4961-a82e-a353cc15ee1a",
+        "title": "Airlines",
+    },
+    "airports_air_services": {
+        "desc": "Airports & Air Services Stocks",
+        "id": "bba6400e-3d72-4a6a-a813-d91b0724a17c",
+        "title": "Airports & Air Services",
+    },
+    "all_cryptocurrencies_au": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "d4146c38-dd86-418c-b043-82858b3c472d",
+        "title": "All Cryptocurrencies",
+    },
+    "all_cryptocurrencies_ca": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "7d701aca-d272-4d62-8921-fbdf3a5e90cd",
+        "title": "All Cryptocurrencies",
+    },
+    "all_cryptocurrencies_eu": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "56d93251-dc99-492c-b7a9-4335a103c788",
+        "title": "All Cryptocurrencies",
+    },
+    "all_cryptocurrencies_gb": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "b4ee2223-1076-4666-9348-76ec467e6f05",
+        "title": "All Cryptocurrencies",
+    },
+    "all_cryptocurrencies_in": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "ab1f1b1f-e355-49e2-b316-341db363f627",
+        "title": "All Cryptocurrencies",
+    },
+    "all_cryptocurrencies_us": {
+        "desc": "Cryptocurrencies ordered in descending order by intraday marketcap",
+        "id": "80046292-2898-474e-841c-7866e4f2fc80",
+        "title": "All Cryptocurrencies",
+    },
+    "aluminum": {
+        "desc": "Aluminum Stocks",
+        "id": "230d75b6-95a2-4a17-ac0e-35e4b1caca3d",
+        "title": "Aluminum",
+    },
+    "analyst_strong_buy_stocks": {
+        "desc": "Stocks with a minimum upside potential of 20% backed by an analyst's strong buy rating.",
+        "id": "704d5655-c714-47a3-a280-069b439d252b",
+        "title": "Analyst Strong Buy Stocks",
+    },
+    "apparel_manufacturing": {
+        "desc": "Apparel Manufacturing Stocks",
+        "id": "97cd324b-b40b-4723-86bd-10e058a50677",
+        "title": "Apparel Manufacturing",
+    },
+    "apparel_retail": {
+        "desc": "Apparel Retail Stocks",
+        "id": "70642ef2-5ff3-4c36-abb0-bfc11c4ccdbb",
+        "title": "Apparel Retail",
+    },
+    "asset_management": {
+        "desc": "Asset Management Stocks",
+        "id": "596c9db6-82cd-47f1-a34a-0f28d8037041",
+        "title": "Asset Management",
+    },
+    "auto_manufacturers": {
+        "desc": "Auto Manufacturers Stocks",
+        "id": "2110abca-fdda-4285-b5db-3cbae61413b5",
+        "title": "Auto Manufacturers",
+    },
+    "auto_parts": {
+        "desc": "Auto Parts Stocks",
+        "id": "8549ed2c-0b33-48f9-9c0e-bd07c39139b2",
+        "title": "Auto Parts",
+    },
+    "auto_truck_dealerships": {
+        "desc": "Auto & Truck Dealerships Stocks",
+        "id": "5b41c320-8868-4e11-9e7a-09bf625a0c59",
+        "title": "Auto & Truck Dealerships",
+    },
+    "banks_diversified": {
+        "desc": "Banks—Diversified Stocks",
+        "id": "983efda1-e27e-4900-9854-9c1acb54fdd4",
+        "title": "Banks—Diversified",
+    },
+    "banks_regional": {
+        "desc": "Banks—Regional Stocks",
+        "id": "8699101a-3199-4f9b-9431-49dcd7d7014c",
+        "title": "Banks—Regional",
+    },
+    "bearish_stocks_right_now": {
+        "desc": "Most recent stocks with a bearish technical pattern detected by Trading Central.",
+        "id": "c2670236-c8bf-459e-a470-668759e02c26",
+        "title": "Bearish Stocks Right Now",
+    },
+    "best_hist_performance_etfs": {
+        "desc": "Discover the ETFs that have performed the best over the past 5 years.",
+        "id": "698f8496-3a8b-4d9d-b2c5-6aa86923b2f6",
+        "title": "Best Historical Performance",
+    },
+    "best_hist_performance_etfs_asia": {
+        "desc": "Discover the ETFs that have performed the best over the past 5 years.",
+        "id": "82cfe7c1-9fe6-42b6-bae4-75edfe1198ef",
+        "title": "Best Historical Performance",
+    },
+    "best_hist_performance_etfs_europe": {
+        "desc": "Discover the ETFs that have performed the best over the past 5 years.",
+        "id": "392fa414-a68d-4dd2-935d-3bb00de31c14",
+        "title": "Best Historical Performance",
+    },
+    "best_hist_performance_mutual_funds": {
+        "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
+        "id": "5fd3a59e-2798-4324-ac78-2fb3c8691c80",
+        "title": "Best Historical Performance",
+    },
+    "best_hist_performance_mutual_funds_asia": {
+        "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
+        "id": "70b50d4d-6a67-427e-9ff5-bf62dcfcea18",
+        "title": "Best Historical Performance",
+    },
+    "best_hist_performance_mutual_funds_europe": {
+        "desc": "Discover the mutual funds that have performed the best over the past 5 years.",
+        "id": "c7bb7c3f-9c49-4bc8-9cac-3ec107e8cbfa",
+        "title": "Best Historical Performance",
+    },
+    "beverages_brewers": {
+        "desc": "Beverages—Brewers Stocks",
+        "id": "3c0198c0-4e49-4715-9ca5-393dcfdef169",
+        "title": "Beverages—Brewers",
+    },
+    "beverages_non_alcoholic": {
+        "desc": "Beverages—Non-Alcoholic Stocks",
+        "id": "1afefde6-58a3-4053-94a0-0715584463ff",
+        "title": "Beverages—Non-Alcoholic",
+    },
+    "beverages_wineries_distilleries": {
+        "desc": "Beverages—Wineries & Distilleries Stocks",
+        "id": "dc49a372-2dd8-4eb0-9107-4088f74b9237",
+        "title": "Beverages—Wineries & Distilleries",
+    },
+    "biotechnology": {
+        "desc": "Biotechnology Stocks",
+        "id": "6fed185c-ed1b-469a-916b-fc1ea70727cf",
+        "title": "Biotechnology",
+    },
+    "bond_etfs": {
+        "desc": "Discover bond-focused ETFs.",
+        "id": "ae3af3ed-c086-418a-8d2a-c689605656b4",
+        "title": "Bond ETFs",
+    },
+    "bond_mutual_funds": {
+        "desc": "Discover bond-focused mutual funds.",
+        "id": "f79d84da-3ca1-403c-ac0f-0424ee0cb33b",
+        "title": "Bond Mutual Funds",
+    },
+    "bond_mutual_funds_asia": {
+        "desc": "Discover bond-focused mutual funds.",
+        "id": "be50285c-ce13-4351-99c6-934e122cfcb4",
+        "title": "Bond Mutual Funds",
+    },
+    "bond_mutual_funds_europe": {
+        "desc": "Discover bond-focused mutual funds.",
+        "id": "9de06523-b236-4982-9f68-0e5b9895ae00",
+        "title": "Bond Mutual Funds",
+    },
+    "broadcasting": {
+        "desc": "Broadcasting Stocks",
+        "id": "46e29339-b0aa-4039-ba50-451c0670ac3a",
+        "title": "Broadcasting",
+    },
+    "building_materials": {
+        "desc": "Building Materials Stocks",
+        "id": "c1e3cbbe-c6ed-417d-ac18-b2803513f6f3",
+        "title": "Building Materials",
+    },
+    "building_products_equipment": {
+        "desc": "Building Products & Equipment Stocks",
+        "id": "7013ce43-4b66-47b3-aa34-1f0ff3cbb2f7",
+        "title": "Building Products & Equipment",
+    },
+    "bullish_stocks_right_now": {
+        "desc": "Most recent stocks with a bullish technical pattern detected by Trading Central.",
+        "id": "663e975d-9bf1-424a-9ce1-634cea6648d6",
+        "title": "Bullish Stocks Right Now",
+    },
+    "business_equipment_supplies": {
+        "desc": "Business Equipment & Supplies Stocks",
+        "id": "c224f924-ccd6-4423-b45d-118e7d597161",
+        "title": "Business Equipment & Supplies",
+    },
+    "capital_markets": {
+        "desc": "Capital Markets Stocks",
+        "id": "d4dc9b04-79ed-4cb9-b3a8-67c9f5c93e2e",
+        "title": "Capital Markets",
+    },
+    "cheapest_etfs": {
+        "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
+        "id": "609681e0-857e-4168-9944-d2afa7a5e3eb",
+        "title": "Cheapest ETFs",
+    },
+    "cheapest_etfs_asia": {
+        "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
+        "id": "612e4c2f-83cc-45d6-80d1-b851d3916e4f",
+        "title": "Cheapest ETFs",
+    },
+    "cheapest_etfs_europe": {
+        "desc": "Uncover ETFs which report the cheapest Annual Net Expense Ratio.",
+        "id": "93ce8617-984a-4bec-9256-4c832fff8ceb",
+        "title": "Cheapest ETFs",
+    },
+    "cheapest_mutual_funds": {
+        "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
+        "id": "e0467260-410a-49c0-9320-da5fbf2a3e73",
+        "title": "Cheapest Mutual Funds",
+    },
+    "cheapest_mutual_funds_asia": {
+        "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
+        "id": "e0cdbbb3-6a87-4e1b-82c6-ae5d4eb40bb1",
+        "title": "Cheapest Mutual Funds",
+    },
+    "cheapest_mutual_funds_europe": {
+        "desc": "Uncover mutual funds which report the cheapest Annual Net Expense Ratio.",
+        "id": "d63697a6-2488-42f1-8471-90d564f95fee",
+        "title": "Cheapest Mutual Funds",
+    },
+    "chemicals": {
+        "desc": "Chemicals Stocks",
+        "id": "78341de7-2e70-4ff0-9347-d23c731bd87f",
+        "title": "Chemicals",
+    },
+    "coking_coal": {
+        "desc": "Coking Coal Stocks",
+        "id": "165835db-e7c6-4c17-8fce-e5e6829105c7",
+        "title": "Coking Coal",
+    },
+    "commodity_etfs": {
+        "desc": "Discover commodity-focused ETFs.",
+        "id": "6ab335b4-61e8-4d88-86a6-30f1c6c94fa7",
+        "title": "Commodity ETFs",
+    },
+    "commodity_etfs_asia": {
+        "desc": "Discover commodity-focused ETFs.",
+        "id": "f5658ccd-911e-4490-b4c4-78c2dad9ae83",
+        "title": "Commodity ETFs",
+    },
+    "commodity_etfs_europe": {
+        "desc": "Discover commodity-focused ETFs.",
+        "id": "9491c51d-3b6f-48ca-8a6d-6236ee092433",
+        "title": "Commodity ETFs",
+    },
+    "commodity_mutual_funds": {
+        "desc": "Discover commodity-focused mutual funds.",
+        "id": "ca67a1b3-572c-433c-b1a4-a0da3738fc14",
+        "title": "Commodity Metal Mutual Funds",
+    },
+    "communication_equipment": {
+        "desc": "Communication Equipment Stocks",
+        "id": "b750cbb5-d76b-4786-9ec8-ad6ca68a26b8",
+        "title": "Communication Equipment",
+    },
+    "community_sentiment_most_bearish": {
+        "desc": "Community Sentiment Most Bearish",
+        "id": "772fad60-f176-4333-ac4a-af8de320e277",
+        "title": "Community Sentiment Most Bearish",
+    },
+    "community_sentiment_most_bullish": {
+        "desc": "Community Sentiment Most Bullish",
+        "id": "0e85bb19-703c-44a3-b3a3-e9febb3e07e4",
+        "title": "Community Sentiment Most Bullish",
+    },
+    "computer_hardware": {
+        "desc": "Computer Hardware Stocks",
+        "id": "0f691c9d-a971-4a36-936f-9135f87ff6f0",
+        "title": "Computer Hardware",
+    },
+    "confectioners": {
+        "desc": "Confectioners Stocks",
+        "id": "66e04ede-6ddd-4cf5-b3f0-b25666495296",
+        "title": "Confectioners",
+    },
+    "conglomerates": {
+        "desc": "Conglomerates Stocks",
+        "id": "a54ed4a5-cc92-4171-9bc7-24ce06ad5b4f",
+        "title": "Conglomerates",
+    },
+    "conservative_foreign_funds": {
+        "desc": "Foreign funds with Performance Rating of 4 & 5, low risk and top-half returns",
+        "id": "86de34fe-ba77-4c36-be03-19c5d7cf4462",
+        "title": "Conservative Foreign Funds",
+    },
+    "consulting_services": {
+        "desc": "Consulting Services Stocks",
+        "id": "2f05d6e4-7b4d-44e0-9e25-4bc8ad1011fb",
+        "title": "Consulting Services",
+    },
+    "consumer_electronics": {
+        "desc": "Consumer Electronics Stocks",
+        "id": "f4cc7ac5-4c1a-40e5-9271-1e8c59a29bfa",
+        "title": "Consumer Electronics",
+    },
+    "copper": {
+        "desc": "Copper Stocks",
+        "id": "657a2af8-2b4f-4f10-9f36-1e9e14f3aab4",
+        "title": "Copper",
+    },
+    "credit_services": {
+        "desc": "Credit Services Stocks",
+        "id": "08680af3-e653-43a4-b704-b87a20c6716b",
+        "title": "Credit Services",
+    },
+    "day_gainers": {
+        "desc": "Discover the equities with the greatest gains in the trading day.",
+        "id": "ec5bebb9-b7b2-4474-9e5c-3e258b61cbe6",
+        "title": "Day Gainers",
+    },
+    "day_gainers_americas": {
+        "desc": "stocks ordered in descending order by price percent change greater than 3% with respect to the previous close",
+        "id": "0bfef98d-1a4b-449a-9049-737656446e7c",
+        "title": "Day Gainers Americas",
+    },
+    "day_gainers_asia": {
+        "desc": "Discover the equities with the greatest gains in the trading day.",
+        "id": "fe852975-302e-413a-bd9c-7a2d602645e9",
+        "title": "Day Gainers",
+    },
+    "day_gainers_au": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Australia",
+        "id": "d0907194-0b84-44d8-8005-054546c8f66b",
+        "title": "Day Gainers - Australia",
+    },
+    "day_gainers_br": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 3% with respect to the previous close",
+        "id": "8fd79848-c838-46bc-986c-7b97414e7d76",
+        "title": "Day Gainers - Brazil",
+    },
+    "day_gainers_ca": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Canada",
+        "id": "4a047ba4-ba4e-4372-8327-202083a89057",
+        "title": "Day Gainers - Canada",
+    },
+    "day_gainers_cryptocurrencies": {
+        "desc": "Discover the cryptocurrencies with the greatest gains in the last 24 hours.",
+        "id": "79c584ec-a1bc-443a-9330-272abd5f696c",
+        "title": "Day Gainers",
+    },
+    "day_gainers_de": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Germany",
+        "id": "62764a5a-a47b-4a0d-b72a-f454e7b8acfb",
+        "title": "Day Gainers - Germany",
+    },
+    "day_gainers_dji": {
+        "desc": "Day Gainers - Dow Jones Industrials",
+        "id": "9e621bd5-9a7e-4d00-869d-1b1e1b05afd0",
+        "title": "Day Gainers - Dow Jones Industrials",
+    },
+    "day_gainers_es": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Spain",
+        "id": "c50cfd23-75cc-4549-8c57-5029e10f962c",
+        "title": "Day Gainers - Spain",
+    },
+    "day_gainers_etfs": {
+        "desc": "Discover the ETFs with the greatest gains in the trading day.",
+        "id": "2249f0f3-2844-4541-9e6d-3d78527388e2",
+        "title": "Day Gainers",
+    },
+    "day_gainers_etfs_asia": {
+        "desc": "Discover the ETFs with the greatest gains in the trading day.",
+        "id": "c80798fa-27bc-4a09-93c8-2aee34dd5f1f",
+        "title": "Day Gainers",
+    },
+    "day_gainers_etfs_europe": {
+        "desc": "Discover the ETFs with the greatest gains in the trading day.",
+        "id": "774befd7-6ffe-4f5b-83ed-3aeb8be8b161",
+        "title": "Day Gainers",
+    },
+    "day_gainers_europe": {
+        "desc": "Discover the equities with the greatest gains in the trading day.",
+        "id": "43463575-8b42-4762-9d7e-705588a25dcd",
+        "title": "Day Gainers",
+    },
+    "day_gainers_fr": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for France",
+        "id": "9b598d0d-18d5-406e-a807-98d3e63c6afb",
+        "title": "Day Gainers - France",
+    },
+    "day_gainers_gb": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for United Kingdom",
+        "id": "97b9075b-c5ab-4c85-bfd3-9694a061e5d2",
+        "title": "Day Gainers - United Kingdom",
+    },
+    "day_gainers_hk": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Hong Kong",
+        "id": "93505957-f2ce-4666-8f7c-91275819b5f6",
+        "title": "Day Gainers - Hong Kong",
+    },
+    "day_gainers_in": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for India",
+        "id": "134b914f-e393-4b2e-a824-b4be15517cd8",
+        "title": "Day Gainers - India",
+    },
+    "day_gainers_it": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Italy",
+        "id": "9c86c7ac-c474-40d9-8912-1906cfc6cc1c",
+        "title": "Day Gainers - Italy",
+    },
+    "day_gainers_mutual_funds": {
+        "desc": "Discover the mutual funds with the greatest gains in the trading day.",
+        "id": "3f7601e3-e6c6-49fa-863b-7dc58dc325b0",
+        "title": "Day Gainers",
+    },
+    "day_gainers_mutual_funds_asia": {
+        "desc": "Discover the mutual funds with the greatest gains in the trading day.",
+        "id": "ce6aa148-51d9-4652-bddb-92265276eca4",
+        "title": "Day Gainers",
+    },
+    "day_gainers_mutual_funds_europe": {
+        "desc": "Discover the mutual funds with the greatest gains in the trading day.",
+        "id": "f2b8b8f0-cf13-4e5a-8222-e39d8b1d1c47",
+        "title": "Day Gainers",
+    },
+    "day_gainers_ndx": {
+        "desc": "Day Gainers - NASDAQ 100",
+        "id": "d1d6e2ab-ca6f-4a7d-a2f2-d872efc816ef",
+        "title": "Day Gainers - NASDAQ 100",
+    },
+    "day_gainers_nz": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for New Zealand",
+        "id": "faa6cfcd-cb5d-4dfc-8532-3692ee3cc359",
+        "title": "Day Gainers - New Zealand",
+    },
+    "day_gainers_options": {
+        "desc": "Discover the options with the greatest gains in the trading day.",
+        "id": "39bfd52b-6f5f-40a1-bcc8-31a9728277d8",
+        "title": "Day Gainers",
+    },
+    "day_gainers_sg": {
+        "desc": "Stocks ordered in descending order by price percent change greater than 2.5% with respect to the previous close for Singapore",
+        "id": "4d834f86-c0a9-4211-b7a4-3290011892eb",
+        "title": "Day Gainers - Singapore",
+    },
+    "day_losers": {
+        "desc": "Discover the equities with the greatest losses in the trading day.",
+        "id": "8ecefa87-a8b0-434a-9b39-e061a0baef9b",
+        "title": "Day Losers",
+    },
+    "day_losers_americas": {
+        "desc": "stocks ordered in ascending order by price percent change lesser than 2.5% with respect to the previous close",
+        "id": "0e35eb9f-8cf1-4661-a336-e996c1c6f7f8",
+        "title": "Day Losers Americas",
+    },
+    "day_losers_asia": {
+        "desc": "Discover the equities with the greatest losses in the trading day.",
+        "id": "37df3812-b9ee-41f0-87e4-b5f893f3198d",
+        "title": "Day Losers",
+    },
+    "day_losers_au": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Australia",
+        "id": "e8e6731f-0eb9-4377-829c-1f61cb670df4",
+        "title": "Day Losers - Australia",
+    },
+    "day_losers_br": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Brazil",
+        "id": "2dd8e3c9-8755-4d02-9bf3-0dd0640d38f2",
+        "title": "Day Losers - Brazil",
+    },
+    "day_losers_ca": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Canada",
+        "id": "44c0eb22-33f1-4bf9-b4d0-e940838b47f5",
+        "title": "Day Losers - Canada",
+    },
+    "day_losers_cryptocurrencies": {
+        "desc": "Discover the cryptocurrencies with the greatest losses in the last 24 hours.",
+        "id": "97d663ee-cf91-4f53-8cfa-0b8b580d0b11",
+        "title": "Day Losers",
+    },
+    "day_losers_de": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Germany",
+        "id": "953e5166-b2b3-471c-a765-4c1c3c15b2da",
+        "title": "Day Losers - Germany",
+    },
+    "day_losers_dji": {
+        "desc": "Day Losers - Dow Jones Industrials",
+        "id": "c95c79eb-8b89-461b-b4cf-680cf77f057e",
+        "title": "Day Losers - Dow Jones Industrials",
+    },
+    "day_losers_es": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Spain",
+        "id": "80678708-0b02-409b-a378-15965a930d60",
+        "title": "Day Losers - Spain",
+    },
+    "day_losers_etfs": {
+        "desc": "Discover the ETFs with the greatest losses in the trading day.",
+        "id": "d9faac27-b9ef-4f48-be58-6a6549af840f",
+        "title": "Day Losers",
+    },
+    "day_losers_etfs_asia": {
+        "desc": "Discover the ETFs with the greatest losses in the trading day.",
+        "id": "b3439e46-5d04-42c3-8780-4bc4a067bfb9",
+        "title": "Day Losers",
+    },
+    "day_losers_etfs_europe": {
+        "desc": "Discover the ETFs with the greatest losses in the trading day.",
+        "id": "dbe39476-0b84-4333-a1dd-179bd9723a17",
+        "title": "Day Losers",
+    },
+    "day_losers_europe": {
+        "desc": "Discover the equities with the greatest losses in the trading day.",
+        "id": "3dfde79b-6160-4da3-a042-d1a86fd5eff9",
+        "title": "Day Losers",
+    },
+    "day_losers_fr": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for France",
+        "id": "bb9aaa7a-935e-49de-999e-e5b86c9aeefa",
+        "title": "Day Losers - France",
+    },
+    "day_losers_gb": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for United Kingdom",
+        "id": "01a3b7ec-c577-401f-8b19-57d6bbf5ce8e",
+        "title": "Day Losers - United Kingdom",
+    },
+    "day_losers_hk": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Hong Kong",
+        "id": "5d940688-4853-49bd-a3b3-849ca743ad8c",
+        "title": "Day Losers - Hong Kong",
+    },
+    "day_losers_in": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for India",
+        "id": "d17726f5-6c05-4c80-9cc9-3578febcdb3c",
+        "title": "Day Losers - India",
+    },
+    "day_losers_it": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Italy",
+        "id": "46677e46-895d-4c5c-a938-577d80df2180",
+        "title": "Day Losers - Italy",
+    },
+    "day_losers_mutual_funds": {
+        "desc": "Discover the mutual funds with the greatest losses in the trading day.",
+        "id": "3e144242-9d1d-48fe-8426-da808ffe6014",
+        "title": "Day Losers",
+    },
+    "day_losers_mutual_funds_asia": {
+        "desc": "Discover the mutual funds with the greatest losses in the trading day.",
+        "id": "988e04b3-7de5-4cee-8665-46182721f9f5",
+        "title": "Day Losers",
+    },
+    "day_losers_mutual_funds_europe": {
+        "desc": "Discover the mutual funds with the greatest losses in the trading day.",
+        "id": "26340ece-9f3b-47aa-ac23-e695b7021a20",
+        "title": "Day Losers",
+    },
+    "day_losers_ndx": {
+        "desc": "Day Losers - NASDAQ 100",
+        "id": "b72e29e8-dfc2-428e-ab3f-e69df2008457",
+        "title": "Day Losers - NASDAQ 100",
+    },
+    "day_losers_nz": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for New Zealand",
+        "id": "ce6dcbd1-c853-402a-90b4-776865c76f5d",
+        "title": "Day Losers - New Zealand",
+    },
+    "day_losers_options": {
+        "desc": "Discover the options with the greatest losses in the trading day.",
+        "id": "ebfe7fdb-1aa8-4350-9308-899e49bd307a",
+        "title": "Day Losers",
+    },
+    "day_losers_sg": {
+        "desc": "Stocks ordered in ascending order by price percent change with respect to the previous close for Singapore",
+        "id": "87813bf9-1d84-4d03-9552-d5ee38666ca4",
+        "title": "Day Losers - Singapore",
+    },
+    "department_stores": {
+        "desc": "Department Stores Stocks",
+        "id": "b5c6a46b-d791-4fa2-a293-46c603515959",
+        "title": "Department Stores",
+    },
+    "diagnostics_research": {
+        "desc": "Diagnostics & Research Stocks",
+        "id": "c77f59d3-f26f-43ce-a844-1bc8115257e6",
+        "title": "Diagnostics & Research",
+    },
+    "discount_stores": {
+        "desc": "Discount Stores Stocks",
+        "id": "9dd246ea-0929-4836-aef2-075e4df38087",
+        "title": "Discount Stores",
+    },
+    "drug_manufacturers_general": {
+        "desc": "Drug Manufacturers—General Stocks",
+        "id": "264a8d31-3229-483a-924b-9660bf869f32",
+        "title": "Drug Manufacturers—General",
+    },
+    "drug_manufacturers_specialty_generic": {
+        "desc": "Drug Manufacturers—Specialty & Generic Stocks",
+        "id": "4b782d93-7013-4184-bdd5-61b770c33059",
+        "title": "Drug Manufacturers—Specialty & Generic",
+    },
+    "education_training_services": {
+        "desc": "Education & Training Services Stocks",
+        "id": "0f996a22-ccbf-43ff-81fa-d1c1e4a003c1",
+        "title": "Education & Training Services",
+    },
+    "electrical_equipment_parts": {
+        "desc": "Electrical Equipment & Parts Stocks",
+        "id": "ab10085a-581b-46f5-9950-c663b63414d2",
+        "title": "Electrical Equipment & Parts",
+    },
+    "electronic_components": {
+        "desc": "Electronic Components Stocks",
+        "id": "9a59374c-9f17-45bc-b60f-fde16cd9dd00",
+        "title": "Electronic Components",
+    },
+    "electronic_gaming_multimedia": {
+        "desc": "Electronic Gaming & Multimedia Stocks",
+        "id": "8941e1e5-baf7-407b-8015-926ae079241e",
+        "title": "Electronic Gaming & Multimedia",
+    },
+    "electronics_computer_distribution": {
+        "desc": "Electronics & Computer Distribution Stocks",
+        "id": "917e3a6a-04e3-45bc-96c2-f13a384965c4",
+        "title": "Electronics & Computer Distribution",
+    },
+    "engineering_construction": {
+        "desc": "Engineering & Construction Stocks",
+        "id": "826440a9-075c-483a-9f49-5c088317d8b5",
+        "title": "Engineering & Construction",
+    },
+    "entertainment": {
+        "desc": "Entertainment Stocks",
+        "id": "95861fa9-815d-456b-8057-7ba3be5fd3c8",
+        "title": "Entertainment",
+    },
+    "equity_mutual_funds": {
+        "desc": "Discover mutual funds which are made up of at least 70% equities.",
+        "id": "b3c7923a-b55e-40bc-b4b8-3d92dc3c6bfe",
+        "title": "Equity Mutual Funds",
+    },
+    "farm_heavy_construction_machinery": {
+        "desc": "Farm & Heavy Construction Machinery Stocks",
+        "id": "41805c11-aedb-4e23-8fed-50a6a543cea4",
+        "title": "Farm & Heavy Construction Machinery",
+    },
+    "farm_products": {
+        "desc": "Farm Products Stocks",
+        "id": "11692c0c-3cbe-46cc-87a6-70fb77c65723",
+        "title": "Farm Products",
+    },
+    "fifty_two_wk_gainers": {
+        "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
+        "id": "2958f760-5f00-4e7d-97be-d2d75d161e24",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_asia": {
+        "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
+        "id": "ac6e41c4-2901-4e5a-9305-58f87babb48d",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_cryptocurrencies": {
+        "desc": "Discover the cryptocurrencies with the greatest gains in the last 52 weeks.",
+        "id": "d3a99fd0-1ff6-4307-a25b-a05678704f25",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_etfs": {
+        "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
+        "id": "2a262fab-c342-4653-9c4b-14728b7bceab",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_etfs_asia": {
+        "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
+        "id": "cfb86eb7-0e2e-40e4-b2a9-2a63e2b59a2f",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_etfs_europe": {
+        "desc": "Discover the ETFs with the greatest gains in the last 52 weeks.",
+        "id": "69a6b655-f3c9-45b0-a28d-9077661c7c04",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_europe": {
+        "desc": "Discover the equities with the greatest gains in the last 52 weeks.",
+        "id": "ae4ff65c-3cf1-48ea-aa10-de00472d0e30",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_mutual_funds": {
+        "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
+        "id": "5cad2dcc-0ec1-4c97-bc72-0244e3c2bbdf",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_mutual_funds_asia": {
+        "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
+        "id": "c162235a-4624-4301-849f-c34c40d7b7cc",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_gainers_mutual_funds_europe": {
+        "desc": "Discover the mutual funds with the greatest gains in the last 52 weeks.",
+        "id": "38bac306-de8a-4ae4-858f-0f959e1ea961",
+        "title": "52-Week Gainers",
+    },
+    "fifty_two_wk_losers": {
+        "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
+        "id": "5176dd5b-d919-4d85-a687-c71326d2de92",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_asia": {
+        "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
+        "id": "1417ea6b-99c2-4bcd-8956-57a43da68646",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_cryptocurrencies": {
+        "desc": "Discover the cryptocurrencies with the greatest losses in the last 52 weeks.",
+        "id": "6248a532-2d42-4a05-bbb8-ee745f3aaee8",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_etfs": {
+        "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
+        "id": "23ce67d2-e283-4fbe-ab5b-089102afe9e2",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_etfs_asia": {
+        "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
+        "id": "85d56d74-8e28-442e-b0fb-51cb75691270",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_etfs_europe": {
+        "desc": "Discover the ETFs with the greatest losses in the last 52 weeks.",
+        "id": "758ee256-c89f-4f6c-bac6-7cccb13d7f40",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_europe": {
+        "desc": "Discover the equities with the greatest losses in the last 52 weeks.",
+        "id": "de97db3f-6b73-4b0c-b85a-1279d4079d93",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_mutual_funds": {
+        "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
+        "id": "d0d2d56f-0b6d-48fe-a1cd-e3063ee14132",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_mutual_funds_asia": {
+        "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
+        "id": "02f70157-2018-4b44-9ee7-3f8e5201d402",
+        "title": "52-Week Losers",
+    },
+    "fifty_two_wk_losers_mutual_funds_europe": {
+        "desc": "Discover the mutual funds with the greatest losses in the last 52 weeks.",
+        "id": "27dc6a8b-1ac0-4a5e-87d0-dcaa4160d0e5",
+        "title": "52-Week Losers",
+    },
+    "financial_conglomerates": {
+        "desc": "Financial Conglomerates Stocks",
+        "id": "3d48d904-53ab-456a-ba55-020be6a82445",
+        "title": "Financial Conglomerates",
+    },
+    "financial_data_stock_exchanges": {
+        "desc": "Financial Data & Stock Exchanges Stocks",
+        "id": "c42b137d-6d9c-4c16-8822-49b74ffcf8ec",
+        "title": "Financial Data & Stock Exchanges",
+    },
+    "food_distribution": {
+        "desc": "Food Distribution Stocks",
+        "id": "e5e6e726-58d0-4080-bce2-812854ab3d87",
+        "title": "Food Distribution",
+    },
+    "footwear_accessories": {
+        "desc": "Footwear & Accessories Stocks",
+        "id": "fdc83b05-5a96-4e33-aa85-51191ca69295",
+        "title": "Footwear & Accessories",
+    },
+    "furnishings_fixtures_appliances": {
+        "desc": "Furnishings, Fixtures & Appliances Stocks",
+        "id": "71710d80-fd39-4ba1-96b4-df8826e2f91f",
+        "title": "Furnishings, Fixtures & Appliances",
+    },
+    "gambling": {
+        "desc": "Gambling Stocks",
+        "id": "189dfab8-6cd6-4838-a13a-c3551c6ae0b2",
+        "title": "Gambling",
+    },
+    "gold": {
+        "desc": "Gold Stocks",
+        "id": "f5d2411d-4fe6-4904-867e-f01ce9b99740",
+        "title": "Gold",
+    },
+    "grocery_stores": {
+        "desc": "Grocery Stores Stocks",
+        "id": "92b77f75-05ee-4662-93cc-60002d8b7a63",
+        "title": "Grocery Stores",
+    },
+    "growth_technology_stocks": {
+        "desc": "Technology stocks with revenue and earnings growth in excess of 25%.",
+        "id": "e0c43708-7fa1-4f02-9425-697c0443d32f",
+        "title": "Growth Technology Stocks",
+    },
+    "health_information_services": {
+        "desc": "Health Information Services Stocks",
+        "id": "efaac38f-c789-4a6a-92ec-111077f4af8a",
+        "title": "Health Information Services",
+    },
+    "healthcare_plans": {
+        "desc": "Healthcare Plans Stocks",
+        "id": "33d768c1-5f65-4896-89ed-d8e7d001c9b8",
+        "title": "Healthcare Plans",
+    },
+    "high_growth_large_etfs": {
+        "desc": "Discover large cap, high growth-focused ETFs.",
+        "id": "092168ea-b0c5-4361-b509-7a3289bcb9d2",
+        "title": "High growth, Large ETFs",
+    },
+    "high_growth_large_mutual_funds": {
+        "desc": "Discover large cap, high growth-focused mutual funds.",
+        "id": "fd0425d1-a9f6-491a-9320-fd37995fbaba",
+        "title": "High Growth, Large Mutual Funds",
+    },
+    "high_yield_bond": {
+        "desc": "High Yield Bond with Performance Rating of 4 & 5, low risk and top-half returns",
+        "id": "d675527c-bc6a-486c-872d-bca43fbb4322",
+        "title": "High Yield Bond",
+    },
+    "high_yield_high_return": {
+        "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
+        "id": "f6ae7898-0c88-489e-897f-b1fc42e211cb",
+        "title": "High Yield, High Return",
+    },
+    "high_yield_high_return_asia": {
+        "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
+        "id": "2e35021d-b56b-4b02-b07a-1174042c4add",
+        "title": "High Yield, High Return",
+    },
+    "high_yield_high_return_europe": {
+        "desc": "As popularized by strategies like Greenblatt's Magic Formula, uncover quality equities with a high earnings yield and return on capital.",
+        "id": "096683a2-e083-4a21-8203-9c4ac116db01",
+        "title": "High Yield, High Return",
+    },
+    "home_improvement_retail": {
+        "desc": "Home Improvement Retail Stocks",
+        "id": "13803724-428d-4fbe-8825-012987d3bdd2",
+        "title": "Home Improvement Retail",
+    },
+    "household_personal_products": {
+        "desc": "Household & Personal Products Stocks",
+        "id": "4b2d4303-6233-41e4-ae0c-ffec11fa34f0",
+        "title": "Household & Personal Products",
+    },
+    "industrial_distribution": {
+        "desc": "Industrial Distribution Stocks",
+        "id": "3a920780-96d6-44d0-87b9-6946886286d8",
+        "title": "Industrial Distribution",
+    },
+    "information_technology_services": {
+        "desc": "Information Technology Services Stocks",
+        "id": "b3631428-79da-4b51-a689-1dc4bf80aec2",
+        "title": "Information Technology Services",
+    },
+    "infrastructure_operations": {
+        "desc": "Infrastructure Operations Stocks",
+        "id": "04696a3f-8c50-48d6-919d-6cde073cac0d",
+        "title": "Infrastructure Operations",
+    },
+    "insurance_brokers": {
+        "desc": "Insurance Brokers Stocks",
+        "id": "d1d36030-5858-4e02-a955-f8b9271e20aa",
+        "title": "Insurance Brokers",
+    },
+    "insurance_diversified": {
+        "desc": "Insurance—Diversified Stocks",
+        "id": "1081c88c-1be2-4f26-a435-ac87883e9ddd",
+        "title": "Insurance—Diversified",
+    },
+    "insurance_life": {
+        "desc": "Insurance—Life Stocks",
+        "id": "da5f094b-418c-4649-8aa1-9bc4ee3d4ca3",
+        "title": "Insurance—Life",
+    },
+    "insurance_property_casualty": {
+        "desc": "Insurance—Property & Casualty Stocks",
+        "id": "b64e6ae9-0b59-4141-921a-2f1bec699e18",
+        "title": "Insurance—Property & Casualty",
+    },
+    "insurance_reinsurance": {
+        "desc": "Insurance—Reinsurance Stocks",
+        "id": "5c932600-a02c-493a-b865-c101c945b388",
+        "title": "Insurance—Reinsurance",
+    },
+    "insurance_specialty": {
+        "desc": "Insurance—Specialty Stocks",
+        "id": "941a8783-8f96-42a1-82ea-a30a60dd704d",
+        "title": "Insurance—Specialty",
+    },
+    "integrated_freight_logistics": {
+        "desc": "Integrated Freight & Logistics Stocks",
+        "id": "7e94aa31-e0fd-4bba-9c01-a4d1fcd80ff6",
+        "title": "Integrated Freight & Logistics",
+    },
+    "internet_content_information": {
+        "desc": "Internet Content & Information Stocks",
+        "id": "92fa63be-f396-43f0-a1d0-93cb109d1b8f",
+        "title": "Internet Content & Information",
+    },
+    "internet_retail": {
+        "desc": "Internet Retail Stocks",
+        "id": "9573ad47-1820-4a52-b244-ddc0edc0db1c",
+        "title": "Internet Retail",
+    },
+    "large_blend_etfs": {
+        "desc": "Discover the ETFs with a mix of large cap growth and value stocks.",
+        "id": "03b61465-e574-4100-b0ba-508ad235c061",
+        "title": "Large Blend",
+    },
+    "large_blend_mutual_funds": {
+        "desc": "Discover the mutual funds with a mix of large cap growth and value stocks.",
+        "id": "7338519d-5dbc-4609-9ab6-627d58253a8a",
+        "title": "Large Blend",
+    },
+    "largest_market_cap": {
+        "desc": "Uncover the equities with the largest market cap.",
+        "id": "e6e3b1e2-65bc-48a1-8274-a06676f3f969",
+        "title": "Largest Market Cap",
+    },
+    "largest_market_cap_asia": {
+        "desc": "Uncover the equities with the largest market cap.",
+        "id": "ad808afe-47db-4905-9bd4-086032bda47f",
+        "title": "Largest Market Cap",
+    },
+    "largest_market_cap_cryptocurrencies": {
+        "desc": "Uncover the crypto with the largest market cap.",
+        "id": "e8ec0193-36cb-4b26-aeba-2eb087fb4b79",
+        "title": "Largest Market Cap",
+    },
+    "largest_market_cap_europe": {
+        "desc": "Uncover the equities with the largest market cap.",
+        "id": "504528d9-365f-4f97-ad08-7240eddd2bef",
+        "title": "Largest Market Cap",
+    },
+    "latest_analyst_upgraded_stocks": {
+        "desc": "Most recent stocks that get upgraded by an Analyst.",
+        "id": "54e61871-8def-46d5-8b71-75baeff8cc89",
+        "title": "Latest Analyst Upgraded Stocks",
+    },
+    "leisure": {
+        "desc": "Leisure Stocks",
+        "id": "fd998bdb-54a6-4352-81c7-3aa40f9b4b81",
+        "title": "Leisure",
+    },
+    "lodging": {
+        "desc": "Lodging Stocks",
+        "id": "af876331-70bf-4cea-8a03-6bb40877e689",
+        "title": "Lodging",
+    },
+    "low_risk_mutual_funds": {
+        "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
+        "id": "e065a28e-65e3-49ee-8c38-54be12b0db97",
+        "title": "Low Risk Mutual Funds",
+    },
+    "low_risk_mutual_funds_asia": {
+        "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
+        "id": "9e00c0b2-b1f0-4b22-9de6-d76f2d58179a",
+        "title": "Low Risk Mutual Funds",
+    },
+    "low_risk_mutual_funds_europe": {
+        "desc": "Discover the mutual funds with Morningstar Risk Rating of 4 and 5, likely indicating lower risk.",
+        "id": "3b7b021e-1248-457f-874a-efe78018dcb7",
+        "title": "Low Risk Mutual Funds",
+    },
+    "lumber_wood_production": {
+        "desc": "Lumber & Wood Production Stocks",
+        "id": "6e3842f8-1918-4fa2-a4a4-a3245690515a",
+        "title": "Lumber & Wood Production",
+    },
+    "luxury_goods": {
+        "desc": "Luxury Goods Stocks",
+        "id": "47e6d361-29f2-4e41-b66d-9aeaba30e821",
+        "title": "Luxury Goods",
+    },
+    "marine_shipping": {
+        "desc": "Marine Shipping Stocks",
+        "id": "410de1b4-f066-48f4-bc67-72c9731c78ce",
+        "title": "Marine Shipping",
+    },
+    "medical_care_facilities": {
+        "desc": "Medical Care Facilities Stocks",
+        "id": "819f5f80-ec31-4b5a-97ac-d6efed328ccb",
+        "title": "Medical Care Facilities",
+    },
+    "medical_devices": {
+        "desc": "Medical Devices Stocks",
+        "id": "2865489f-9a23-489f-8545-c6e1ad7bcdfc",
+        "title": "Medical Devices",
+    },
+    "medical_distribution": {
+        "desc": "Medical Distribution Stocks",
+        "id": "f24eac61-a63a-4061-9973-30aef1897154",
+        "title": "Medical Distribution",
+    },
+    "medical_instruments_supplies": {
+        "desc": "Medical Instruments & Supplies Stocks",
+        "id": "5dcc2018-5313-4a27-b9a9-45ee0dcdda72",
+        "title": "Medical Instruments & Supplies",
+    },
+    "mega_cap_hc": {
+        "desc": "Stocks with Mega Cap in healthcare industry",
+        "id": "86889bb3-e9d9-464d-956a-4abe5a9728db",
+        "title": "Mega Cap Healthcare",
+    },
+    "metal_fabrication": {
+        "desc": "Metal Fabrication Stocks",
+        "id": "05acca9e-1aee-44b6-8224-c92459eb2ed8",
+        "title": "Metal Fabrication",
+    },
+    "morningstar_five_star_stocks": {
+        "desc": "A 5-star rating indicates that the stock is trading meaningfully below fair value with an exciting discount.",
+        "id": "c8235580-5fb0-47ae-9f5c-e70f2a0cbe5d",
+        "title": "Morningstar 5-Star Stocks",
+    },
+    "mortgage_finance": {
+        "desc": "Mortgage Finance Stocks",
+        "id": "fe8052af-d7ed-41bf-933d-dd0b4239e869",
+        "title": "Mortgage Finance",
+    },
+    "most_actives": {
+        "desc": "Discover the most traded equities in the trading day.",
+        "id": "437465ef-980e-4d8c-a860-de7cbfbab373",
+        "title": "Most Actives",
+    },
+    "most_actives_americas": {
+        "desc": "Stocks ordered in descending order by intraday trade volume",
+        "id": "a143f34f-7d90-473b-855b-67787326ce2c",
+        "title": "Most Actives Americas",
+    },
+    "most_actives_asia": {
+        "desc": "Discover the most traded equities in the trading day.",
+        "id": "2e23187d-c4ff-48a5-b498-161a80b0145b",
+        "title": "Most Actives",
+    },
+    "most_actives_au": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Australia",
+        "id": "d0dad29a-9a50-445b-8ca4-1367e51826eb",
+        "title": "Most Actives - Australia",
+    },
+    "most_actives_br": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Brazil",
+        "id": "ec23a32d-e108-465f-9d4b-e5db1d934f2e",
+        "title": "Most Actives - Brazil",
+    },
+    "most_actives_ca": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Canada",
+        "id": "5026cc58-c878-4f43-af38-efbffadce77f",
+        "title": "Most Actives - Canada",
+    },
+    "most_actives_cn": {
+        "desc": "Stocks ordered in descending order by intraday trade volume",
+        "id": "b22d26a2-754c-4723-aefc-de09eca12462",
+        "title": "Most Actives - CN",
+    },
+    "most_actives_cryptocurrencies": {
+        "desc": "Discover the most traded cryptocurrencies in the last 24 hours.",
+        "id": "28d9ee6a-e0e2-4e19-be0f-cda4b7ae384c",
+        "title": "Most Actives",
+    },
+    "most_actives_de": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Germany",
+        "id": "5b4148d2-5a6d-4466-b663-b5895f5bc583",
+        "title": "Most Actives - Germany",
+    },
+    "most_actives_dji": {
+        "desc": "Stocks ordered in descending order by intraday trade volume",
+        "id": "a423c5d4-9eff-4fb5-9995-93d06480ea91",
+        "title": "Most Actives - Dow Jones Industrial Average",
+    },
+    "most_actives_es": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Spain",
+        "id": "8d1545dc-2fd9-4cac-854e-88f74c54b5dc",
+        "title": "Most Actives - Spain",
+    },
+    "most_actives_etfs": {
+        "desc": "Discover the most traded ETFs in the trading day.",
+        "id": "76320b05-b87f-4d78-a8d7-11868c28cb44",
+        "title": "Most Actives",
+    },
+    "most_actives_etfs_asia": {
+        "desc": "Discover the most traded ETFs in the trading day.",
+        "id": "6add3eb0-1494-4756-abe5-6e30c6649293",
+        "title": "Most Actives",
+    },
+    "most_actives_etfs_europe": {
+        "desc": "Discover the most traded ETFs in the trading day.",
+        "id": "cd21364c-397a-4d79-ba4c-4fc801614242",
+        "title": "Most Actives",
+    },
+    "most_actives_europe": {
+        "desc": "Discover the most traded equities in the trading day.",
+        "id": "c46c7edd-c97f-4929-9ade-77ec21b86c18",
+        "title": "Most Actives",
+    },
+    "most_actives_fr": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for France",
+        "id": "05f97149-f902-4cd3-8f72-f7768ac673e0",
+        "title": "Most Actives - France",
+    },
+    "most_actives_gb": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for United Kingdom",
+        "id": "433c5af8-f58f-4d92-8338-7d928f558a0d",
+        "title": "Most Actives - United Kingdom",
+    },
+    "most_actives_hk": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Hong Kong",
+        "id": "9dbdb8ef-d0c2-446f-baab-be6997a20be8",
+        "title": "Most Actives - Hong Kong",
+    },
+    "most_actives_in": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for India",
+        "id": "09a035cc-f535-4249-bfae-ed95e7a9e12e",
+        "title": "Most Actives - India",
+    },
+    "most_actives_it": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Italy",
+        "id": "2ec96414-6fb7-4da4-8600-cf6f82d0e6d8",
+        "title": "Most Actives - Italy",
+    },
+    "most_actives_ndx": {
+        "desc": "Stocks ordered in descending order by intraday trade volume",
+        "id": "393c6a0f-d975-45a7-91b5-478fd3847b31",
+        "title": "Most Actives - NASDAQ 100",
+    },
+    "most_actives_nz": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for New Zealand",
+        "id": "b6b57880-3ce5-4f10-943b-a5b6dbf77f4d",
+        "title": "Most Actives - New Zealand",
+    },
+    "most_actives_options": {
+        "desc": "Discover the most traded options in the trading day.",
+        "id": "924cd8e4-e16e-49b1-a7ea-6a1a471fa3f5",
+        "title": "Most Actives",
+    },
+    "most_actives_sg": {
+        "desc": "Stocks ordered in descending order by intraday trade volume for Singapore",
+        "id": "96384b8f-b161-4eef-abf8-d1ce290da125",
+        "title": "Most Actives - Singapore",
+    },
+    "most_institutionally_bought_large_cap_stocks": {
+        "desc": "Large cap stocks with the highest institutional buying as a percentage of its outstanding shares.",
+        "id": "18feeba8-323c-4905-9300-b6f72af3e497",
+        "title": "Most Institutionally Bought Large Cap Stocks",
+    },
+    "most_institutionally_held_large_cap_stocks": {
+        "desc": "Large cap stocks with the highest institutional ownership as a percentage of its outstanding shares.",
+        "id": "d9bf8961-0dab-4e7a-89d2-91bbcff87da6",
+        "title": "Most Institutionally Held Large Cap Stocks",
+    },
+    "most_institutionally_sold_large_cap_stocks": {
+        "desc": "Large cap stocks with the highest institutional selling as a percentage of its outstanding shares.",
+        "id": "ef8cb87e-0d8c-46ad-8512-59113286ea50",
+        "title": "Most Institutionally Sold Large Cap Stocks",
+    },
+    "most_shorted_stocks": {
+        "desc": "Stocks with the highest short interest positions from Nasdaq and NYSE reports released every two weeks.",
+        "id": "679b1d2b-95d6-4731-9fd1-f9539ede458c",
+        "title": "Most Shorted Stocks",
+    },
+    "most_visited": {
+        "desc": "Stocks ordered in descending order by weekly page view growth",
+        "id": "9bff655f-1d5c-47b8-b662-1c9d052a1df0",
+        "title": "Most Visited Companies",
+    },
+    "most_visited_basic_materials": {
+        "desc": "Stocks in the Basic Materials sector ordered in descending order by weekly page view growth",
+        "id": "89ffe95d-8d19-4628-bbf6-092fa8cf4453",
+        "title": "Most Visited Basic Materials Companies",
+    },
+    "most_visited_communication_services": {
+        "desc": "Stocks in the Communication Services sector ordered in descending order by weekly page view growth",
+        "id": "720f5d28-44d7-4c0b-9cb5-4c4d4b117845",
+        "title": "Most Visited Communication Services Companies",
+    },
+    "most_visited_consumer_cyclical": {
+        "desc": "Stocks in the Consumer Cyclical sector ordered in descending order by weekly page view growth",
+        "id": "78fb9235-9d53-4fd6-a924-952593e75243",
+        "title": "Most Visited Consumer Cyclical Companies",
+    },
+    "most_visited_consumer_defensive": {
+        "desc": "Stocks in the Consumer Defensive sector ordered in descending order by weekly page view growth",
+        "id": "5c09c497-4f26-4055-98dc-97e25709db6e",
+        "title": "Most Visited Consumer Defensive Companies",
+    },
+    "most_visited_energy": {
+        "desc": "Stocks in the Energy sector ordered in descending order by weekly page view growth",
+        "id": "aa7dd02f-3495-4a6d-a0be-2eb42b231f94",
+        "title": "Most Visited Energy Companies",
+    },
+    "most_visited_financial_services": {
+        "desc": "Stocks in the Financial Services sector ordered in descending order by weekly page view growth",
+        "id": "c207c8b1-796b-4a39-a4a0-5f7d8b341b09",
+        "title": "Most Visited Financial Services Companies",
+    },
+    "most_visited_healthcare": {
+        "desc": "Stocks in the Healthcare sector ordered in descending order by weekly page view growth",
+        "id": "c66c4173-2f75-49eb-b9a1-659a535a48dc",
+        "title": "Most Visited Healthcare Companies",
+    },
+    "most_visited_industrials": {
+        "desc": "Stocks in the Industrials sector ordered in descending order by weekly page view growth",
+        "id": "2fd2ac4a-f6b7-45bc-910a-b5c9965ddc72",
+        "title": "Most Visited Industrials Companies",
+    },
+    "most_visited_real_estate": {
+        "desc": "Stocks in the Real Estate sector ordered in descending order by weekly page view growth",
+        "id": "e79defb1-9fad-4033-8a89-f4c58da39629",
+        "title": "Most Visited Real Estate Companies",
+    },
+    "most_visited_technology": {
+        "desc": "Stocks in the Technology sector ordered in descending order by weekly page view growth",
+        "id": "d52b84f8-818a-427a-880a-4df2d6112e9a",
+        "title": "Most Visited Technology Companies",
+    },
+    "most_visited_utilities": {
+        "desc": "Stocks in the Utilities sector ordered in descending order by weekly page view growth",
+        "id": "038d9521-ad03-4ba2-8061-30a49493059c",
+        "title": "Most Visited Utilities Companies",
+    },
+    "most_watched_tickers": {
+        "desc": "Top 30 tickers with highest portfolioheldcount",
+        "id": "04c9d12e-f0a3-4ab8-bab8-904a2d1c3ab2",
+        "title": "Most added to watchlist",
+    },
+    "ms_basic_materials": {
+        "desc": "Basic Materials ordered by intra day market cap for US region",
+        "id": "a4f8a58b-e458-44fe-b304-04af382a364e",
+        "title": "Basic Materials Sector",
+    },
+    "ms_communication_services": {
+        "desc": "Communication Services ordered by intra day market cap for US region",
+        "id": "b8a44a72-2d49-4a2f-9261-f0fff3c2e4e2",
+        "title": "Communication Services Sector",
+    },
+    "ms_consumer_cyclical": {
+        "desc": "Consumer Cyclical ordered by intra day market cap for US region",
+        "id": "4969e5a1-b0e0-416e-9ae3-191414339e3a",
+        "title": "Consumer Cyclical Sector",
+    },
+    "ms_consumer_defensive": {
+        "desc": "Consumer Defensive ordered by intra day market cap for US region",
+        "id": "6a15b340-2e3c-44a6-b339-b7ae5c097be5",
+        "title": "Consumer Defensive Sector",
+    },
+    "ms_energy": {
+        "desc": "Energy Services ordered by intra day market cap for US region",
+        "id": "2efb4ff8-64f4-4941-abb5-a399a6d0f66a",
+        "title": "Energy Services Sector",
+    },
+    "ms_financial_services": {
+        "desc": "Financial Services ordered by intra day market cap for US region",
+        "id": "667f5248-3710-40d9-8d95-6582fdfa254c",
+        "title": "Financial Services Sector",
+    },
+    "ms_healthcare": {
+        "desc": "Healthcare ordered by intra day market cap for US region",
+        "id": "e568d534-af60-4d20-a192-93bd4508f1bf",
+        "title": "Healthcare Sector",
+    },
+    "ms_industrials": {
+        "desc": "Industrials Services ordered by intra day market cap for US region",
+        "id": "caf102b6-2c28-4abc-9d81-b13d710af432",
+        "title": "Industrials Services Sector",
+    },
+    "ms_real_estate": {
+        "desc": "Real Estate ordered by intra day market cap for US region",
+        "id": "69d56754-89fd-4bc4-9f57-66ed42291311",
+        "title": "Real Estate Sector",
+    },
+    "ms_technology": {
+        "desc": "Technology Services ordered by intra day market cap for US region",
+        "id": "c7b3f121-188a-4846-83e4-f049fab045cd",
+        "title": "Technology Services Sector",
+    },
+    "ms_utilities": {
+        "desc": "Utilities ordered by intra day market cap for US region",
+        "id": "590cedc7-6ddc-40dc-9839-68b0c1572274",
+        "title": "Utilities Sector",
+    },
+    "net_net_strategy": {
+        "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
+        "id": "f3afc5dd-cbc3-4c7b-82ae-2835963be5ec",
+        "title": "Net-Net Strategy",
+    },
+    "net_net_strategy_asia": {
+        "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
+        "id": "73791934-528b-44e3-808b-4cd1a24424ac",
+        "title": "Net-Net Strategy",
+    },
+    "net_net_strategy_europe": {
+        "desc": "As popularized by Graham, discover equities that trade below their liquidation value based on the NNWC metric.",
+        "id": "bf211886-2e58-49ca-9d32-ff1f8fa6293b",
+        "title": "Net-Net Strategy",
+    },
+    "oil_gas_drilling": {
+        "desc": "Oil & Gas Drilling Stocks",
+        "id": "75c335ad-77c8-4368-9932-bfb462c3dc06",
+        "title": "Oil & Gas Drilling",
+    },
+    "oil_gas_e_p": {
+        "desc": "Oil & Gas E&P Stocks",
+        "id": "40cd525d-2b36-40c4-bc95-33b133422ab0",
+        "title": "Oil & Gas E&P",
+    },
+    "oil_gas_equipment_services": {
+        "desc": "Oil & Gas Equipment & Services Stocks",
+        "id": "051612b8-dbf2-44ac-9ee8-d0a0e105b199",
+        "title": "Oil & Gas Equipment & Services",
+    },
+    "oil_gas_integrated": {
+        "desc": "Oil & Gas Integrated Stocks",
+        "id": "f4804676-79ae-4d01-8e45-6f52f85998c9",
+        "title": "Oil & Gas Integrated",
+    },
+    "oil_gas_midstream": {
+        "desc": "Oil & Gas Midstream Stocks",
+        "id": "00374e32-6fb7-44c4-b828-1ba7b3080cf2",
+        "title": "Oil & Gas Midstream",
+    },
+    "oil_gas_refining_marketing": {
+        "desc": "Oil & Gas Refining & Marketing Stocks",
+        "id": "59bef9a7-5bb4-4e67-8b22-513227cc55d6",
+        "title": "Oil & Gas Refining & Marketing",
+    },
+    "other_industrial_metals_mining": {
+        "desc": "Other Industrial Metals & Mining Stocks",
+        "id": "2e1dd2f6-189b-4fb0-857d-79aec8ecef15",
+        "title": "Other Industrial Metals & Mining",
+    },
+    "other_precious_metals_mining": {
+        "desc": "Other Precious Metals & Mining Stocks",
+        "id": "62e97ea1-46c8-4e6e-86f2-901a4ffa8b47",
+        "title": "Other Precious Metals & Mining",
+    },
+    "packaged_foods": {
+        "desc": "Packaged Foods Stocks",
+        "id": "208c5e2a-b05c-40bc-8d92-6a0e97570556",
+        "title": "Packaged Foods",
+    },
+    "packaging_containers": {
+        "desc": "Packaging & Containers Stocks",
+        "id": "70c912eb-3cfb-4dab-ae94-4f81d0910ea6",
+        "title": "Packaging & Containers",
+    },
+    "paper_paper_products": {
+        "desc": "Paper & Paper Products Stocks",
+        "id": "f75ad8b4-22c7-4aba-b93b-1f543191f5bf",
+        "title": "Paper & Paper Products",
+    },
+    "personal_services": {
+        "desc": "Personal Services Stocks",
+        "id": "7d89c0ef-3d77-47e0-9d30-b723ee9d824b",
+        "title": "Personal Services",
+    },
+    "pharmaceutical_retailers": {
+        "desc": "Pharmaceutical Retailers Stocks",
+        "id": "293a91a7-b9e5-4b39-9792-4624bc78b99e",
+        "title": "Pharmaceutical Retailers",
+    },
+    "pollution_treatment_controls": {
+        "desc": "Pollution & Treatment Controls Stocks",
+        "id": "5bd0d463-53ed-4ad4-bcd4-de0efa8460d3",
+        "title": "Pollution & Treatment Controls",
+    },
+    "portfolio_actions_most_added": {
+        "desc": "Portfolio Actions Most Added",
+        "id": "288f1df3-0be8-4ecf-8131-03337550b7ed",
+        "title": "Portfolio Actions Most Added",
+    },
+    "portfolio_actions_most_deleted": {
+        "desc": "Portfolio Actions Most Deleted",
+        "id": "ae8ea26f-ad24-4183-9e24-a40c6c440179",
+        "title": "Portfolio Actions Most Deleted",
+    },
+    "portfolio_anchors": {
+        "desc": "Funds with Performance Rating of 4 & 5 and top-half returns that could serve as a rock-solid core of an investor's portfolio.",
+        "id": "7a0584d9-28a1-4a94-ac68-21f0aab91c4a",
+        "title": "Portfolio Anchors",
+    },
+    "precious_metal_etfs": {
+        "desc": "Discover equity precious metal-focused ETFs.",
+        "id": "63e7f272-cd8d-4307-9002-eb98746a036a",
+        "title": "Precious Metal ETFs",
+    },
+    "precious_metal_mutual_funds": {
+        "desc": "Discover equity precious metal-focused mutual funds.",
+        "id": "2b0f0d69-53ad-4a85-bcd6-8b6c1035bd33",
+        "title": "Precious Metal Mutual Funds",
+    },
+    "publishing": {
+        "desc": "Publishing Stocks",
+        "id": "9061cba6-4150-47e0-ba32-bc59f824a6da",
+        "title": "Publishing",
+    },
+    "railroads": {
+        "desc": "Railroads Stocks",
+        "id": "493c9c2f-8e7c-4e10-8287-608567b59d56",
+        "title": "Railroads",
+    },
+    "real_estate_development": {
+        "desc": "Real Estate—Development Stocks",
+        "id": "a5bdd975-cf17-4f89-86a8-f85ca99bb8de",
+        "title": "Real Estate—Development",
+    },
+    "real_estate_diversified": {
+        "desc": "Real Estate—Diversified Stocks",
+        "id": "95de06d7-7c2b-46fb-8ef8-72485007f1f0",
+        "title": "Real Estate—Diversified",
+    },
+    "real_estate_services": {
+        "desc": "Real Estate Services Stocks",
+        "id": "61a2d1b7-443a-4b5a-9792-c9584cecd6f1",
+        "title": "Real Estate Services",
+    },
+    "recreational_vehicles": {
+        "desc": "Recreational Vehicles Stocks",
+        "id": "d6f2cf97-b467-4709-a4e9-d351e66628d8",
+        "title": "Recreational Vehicles",
+    },
+    "reit_diversified": {
+        "desc": "REIT—Diversified Stocks",
+        "id": "8b05f1c0-8250-455b-a69f-daaa92c30bba",
+        "title": "REIT—Diversified",
+    },
+    "reit_healthcare_facilities": {
+        "desc": "REIT—Healthcare Facilities Stocks",
+        "id": "5875b16e-cf4e-47dd-ac92-2d0e9ecfd608",
+        "title": "REIT—Healthcare Facilities",
+    },
+    "reit_hotel_motel": {
+        "desc": "REIT—Hotel & Motel Stocks",
+        "id": "e35bd5d6-6184-4fae-a5ef-6eabd3b2a5c8",
+        "title": "REIT—Hotel & Motel",
+    },
+    "reit_industrial": {
+        "desc": "REIT—Industrial Stocks",
+        "id": "1f0611ca-ea24-4a25-af9a-c32ee7fc0b4a",
+        "title": "REIT—Industrial",
+    },
+    "reit_mortgage": {
+        "desc": "REIT—Mortgage Stocks",
+        "id": "78956309-a5ef-4d4f-88d9-6555940cb525",
+        "title": "REIT—Mortgage",
+    },
+    "reit_office": {
+        "desc": "REIT—Office Stocks",
+        "id": "9f1e2240-2cc4-4a96-8795-86867133c959",
+        "title": "REIT—Office",
+    },
+    "reit_residential": {
+        "desc": "REIT—Residential Stocks",
+        "id": "8e9e7ec7-3248-4d8e-96f5-aeb6c42ac77b",
+        "title": "REIT—Residential",
+    },
+    "reit_retail": {
+        "desc": "REIT—Retail Stocks",
+        "id": "0ecb1fc8-2c80-43b6-98f0-fe1fb1c2b176",
+        "title": "REIT—Retail",
+    },
+    "reit_specialty": {
+        "desc": "REIT—Specialty Stocks",
+        "id": "1d63bc0a-1f95-4a78-8f86-ab359a4776ab",
+        "title": "REIT—Specialty",
+    },
+    "rental_leasing_services": {
+        "desc": "Rental & Leasing Services Stocks",
+        "id": "d4711c7a-0c1f-4cb3-8743-b6c72065502a",
+        "title": "Rental & Leasing Services",
+    },
+    "residential_construction": {
+        "desc": "Residential Construction Stocks",
+        "id": "56c1ea81-2d1b-4318-9d34-1a8630b52708",
+        "title": "Residential Construction",
+    },
+    "resorts_casinos": {
+        "desc": "Resorts & Casinos Stocks",
+        "id": "4da54a7f-66d2-42bd-a9cd-545289082a8d",
+        "title": "Resorts & Casinos",
+    },
+    "restaurants": {
+        "desc": "Restaurants Stocks",
+        "id": "8376c341-3bc4-46bc-8549-45df4724d16a",
+        "title": "Restaurants",
+    },
+    "scientific_technical_instruments": {
+        "desc": "Scientific & Technical Instruments Stocks",
+        "id": "24c50979-bb02-43db-8f35-548d0c5446c9",
+        "title": "Scientific & Technical Instruments",
+    },
+    "security_protection_services": {
+        "desc": "Security & Protection Services Stocks",
+        "id": "7b9d1a1c-1fc6-4883-8844-bd39034da6a4",
+        "title": "Security & Protection Services",
+    },
+    "semiconductor_equipment_materials": {
+        "desc": "Semiconductor Equipment & Materials Stocks",
+        "id": "2b69f4cf-4815-4963-979a-e20464936232",
+        "title": "Semiconductor Equipment & Materials",
+    },
+    "semiconductors": {
+        "desc": "Semiconductors Stocks",
+        "id": "1aae01f4-bcbc-4a96-a1de-b5569f113699",
+        "title": "Semiconductors",
+    },
+    "shell_companies": {
+        "desc": "Shell Companies Stocks",
+        "id": "7f37f816-a79c-4145-ba45-9f119f07ce7d",
+        "title": "Shell Companies",
+    },
+    "silver": {
+        "desc": "Silver Stocks",
+        "id": "fd2e2676-b2a8-4c45-ac10-e76a9be49151",
+        "title": "Silver",
+    },
+    "small_cap_gainers": {
+        "desc": "Small cap stocks with percentchange greater than 5%",
+        "id": "483129f4-b25a-44c1-afca-8934593f3f6d",
+        "title": "Small caps with momentum",
+    },
+    "software_application": {
+        "desc": "Software—Application Stocks",
+        "id": "e322e6ad-aedb-4330-965a-b6a949c5c45c",
+        "title": "Software—Application",
+    },
+    "software_infrastructure": {
+        "desc": "Software—Infrastructure Stocks",
+        "id": "4e763ffb-03ba-4ff9-b515-35a1665faa45",
+        "title": "Software—Infrastructure",
+    },
+    "solar": {
+        "desc": "Solar Stocks",
+        "id": "9f9e3c35-6a54-4292-aeb1-dce476941244",
+        "title": "Solar",
+    },
+    "solid_large_growth_funds": {
+        "desc": "Large Growth Funds with Performance Rating of 4 & 5 and top-half returns",
+        "id": "5704ade5-098b-4c5e-997f-e50b32be7a55",
+        "title": "Solid Large Growth Funds",
+    },
+    "solid_midcap_growth_funds": {
+        "desc": "Mid-Cap Growth Funds with Performance Rating of 4 & 5 and top-half returns",
+        "id": "d7235ede-59ce-40ad-99f9-5c7e4ec2c5e6",
+        "title": "Solid Mid-Cap Growth Funds",
+    },
+    "sp_500_etfs": {
+        "desc": "Uncover ETFs advertised as being related to the S&P 500.",
+        "id": "e25ca1d3-f3c7-45ca-8566-13ae3f4d139e",
+        "title": "S&P 500 ETFs",
+    },
+    "sp_500_etfs_asia": {
+        "desc": "Uncover ETFs advertised as being related to the S&P 500.",
+        "id": "8da58869-0ab4-4085-a3cd-cf70d50c2078",
+        "title": "S&P 500 ETFs",
+    },
+    "sp_500_etfs_europe": {
+        "desc": "Uncover ETFs advertised as being related to the S&P 500.",
+        "id": "aa061fa7-9503-41b8-95f8-e9fdf86f7eb7",
+        "title": "S&P 500 ETFs",
+    },
+    "specialty_business_services": {
+        "desc": "Specialty Business Services Stocks",
+        "id": "2978b66d-7cda-4fed-a28f-ea10c78ac500",
+        "title": "Specialty Business Services",
+    },
+    "specialty_chemicals": {
+        "desc": "Specialty Chemicals Stocks",
+        "id": "a2271fd1-aa0f-4840-a7bb-783e92b3b515",
+        "title": "Specialty Chemicals",
+    },
+    "specialty_industrial_machinery": {
+        "desc": "Specialty Industrial Machinery Stocks",
+        "id": "18ec4d96-9af4-409e-8448-98f86e4263c5",
+        "title": "Specialty Industrial Machinery",
+    },
+    "specialty_retail": {
+        "desc": "Specialty Retail Stocks",
+        "id": "5cbc47de-7de8-4c60-853f-110018f5e3bd",
+        "title": "Specialty Retail",
+    },
+    "staffing_employment_services": {
+        "desc": "Staffing & Employment Services Stocks",
+        "id": "69a6c527-bb1e-4863-9352-0c86c31c4bd2",
+        "title": "Staffing & Employment Services",
+    },
+    "steel": {
+        "desc": "Steel Stocks",
+        "id": "a5c6e330-eea5-4e2b-b196-ca2066f7141c",
+        "title": "Steel",
+    },
+    "stocks_most_bought_by_hedge_funds": {
+        "desc": "Stocks most bought by Hedge Funds as a percentage of outstanding shares.",
+        "id": "57b71b5c-1c87-4a1d-9ceb-b3c86bee7daf",
+        "title": "Stocks Most Bought by Hedge Funds",
+    },
+    "stocks_most_bought_by_pension_fund": {
+        "desc": "Stocks most bought by Pension Fund as a percentage of outstanding shares.",
+        "id": "5c7ed9e4-46f8-4007-99c3-6ebae5712c7c",
+        "title": "Stocks Most Bought by Pension Fund",
+    },
+    "stocks_most_bought_by_private_equity": {
+        "desc": "Stocks most bought by Private Equity as a percentage of outstanding shares.",
+        "id": "a62cd3c8-b414-4da0-a75d-ea4911dd9061",
+        "title": "Stocks Most Bought by Private Equity",
+    },
+    "stocks_most_bought_by_sovereign_wealth_fund": {
+        "desc": "Stocks most bought by Sovereign Wealth Fund as a percentage of outstanding shares.",
+        "id": "b47910ce-cf2a-4113-8775-d27d0881addd",
+        "title": "Stocks Most Bought by Sovereign Wealth Fund",
+    },
+    "stocks_with_most_institutional_buyers": {
+        "desc": "Stocks with the highest number of institutional buyers.",
+        "id": "0ed4f63c-2b43-45ee-b7a2-721ca11bf349",
+        "title": "Stocks with Most Institutional Buyers",
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+    "stocks_with_most_institutional_sellers": {
+        "desc": "Stocks with the highest number of institutional sellers.",
+        "id": "b54dacf5-3844-4e6e-827d-b3e3bf1ec89d",
+        "title": "Stocks with Most Institutional Sellers",
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+        "id": "e2276d18-9203-4b75-8efd-0f3b5f5cde94",
+        "title": "Strong Undervalued Stocks",
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+    "technology_etfs": {
+        "desc": "Discover technology-focused ETFs.",
+        "id": "dee4c568-74ae-4284-bf4e-7525b1eabf02",
+        "title": "Technology ETFs",
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+    "technology_mutual_funds": {
+        "desc": "Discover technology-focused mutual funds.",
+        "id": "6666a1fc-9b01-4398-be32-412141e76439",
+        "title": "Technology Mutual Funds",
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+    "telecom_services": {
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+        "id": "a9928231-7c89-469b-ac0f-1ae93e79c657",
+        "title": "Telecom Services",
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+        "desc": "Textile Manufacturing Stocks",
+        "id": "19847b80-4e4f-4398-936d-de43161eda6f",
+        "title": "Textile Manufacturing",
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+        "id": "01bc42f4-514d-499c-a015-1e1a3f171d2c",
+        "title": "The Acquirer's Multiple",
+    },
+    "the_acquirers_multiple_asia": {
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+        "id": "25f03e5a-6659-49e0-98fb-41456e713e56",
+        "title": "The Acquirer's Multiple",
+    },
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+        "id": "4cfbf7d1-38d4-4f64-b9a3-ea13921b1769",
+        "title": "The Acquirer's Multiple",
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+        "id": "78e69f52-be0b-4346-9dcf-27d778fbe047",
+        "title": "Thermal Coal",
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+        "id": "ca5ff11e-c43f-4a54-a409-fea6d29766e7",
+        "title": "Tobacco",
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+        "id": "9e622c85-3b94-41aa-8c76-8b488c2d27ce",
+        "title": "Tools & Accessories",
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+    "top_energy_us": {
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+        "id": "9019aa39-cffd-4ffb-8c6c-dc6e9c48ef11",
+        "title": "Top Energy US",
+    },
+    "top_etfs": {
+        "desc": "ETFs with Performance Rating of 4 & 5 ordered by Percent Change",
+        "id": "9976e04d-d1cb-49d4-abab-f8b45e0ae91c",
+        "title": "Top ETFs",
+    },
+    "top_etfs_hk": {
+        "desc": "ETFs ordered by Percent Change for HK region",
+        "id": "131fc0f0-3c7b-476d-99e3-115a91680adf",
+        "title": "Top ETFs HK",
+    },
+    "top_etfs_in": {
+        "desc": "ETFs ordered by Percent Change for IN region",
+        "id": "658effc7-8feb-4c65-9721-451e941be158",
+        "title": "Top ETFs IN",
+    },
+    "top_etfs_us": {
+        "desc": "ETFs ordered by Percent Change for US region",
+        "id": "b34d612c-4204-4fd5-b0c4-2fca8b596411",
+        "title": "Top ETFs US",
+    },
+    "top_mutual_funds": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change",
+        "id": "2ca6caed-e715-4fec-986a-fe68599160d9",
+        "title": "Top Mutual Funds",
+    },
+    "top_mutual_funds_au": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for AU region",
+        "id": "ae9de583-95cc-4269-821f-31a6a19febae",
+        "title": "Top Mutual funds AU",
+    },
+    "top_mutual_funds_br": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for BR region",
+        "id": "89d702fb-8a14-4f54-8ded-86da666a8d0b",
+        "title": "Top Mutual funds BR",
+    },
+    "top_mutual_funds_ca": {
+        "desc": "Mutual Funds ordered by Percent Change for CA region",
+        "id": "71f592c6-6dce-4508-953a-311bfe76d0bc",
+        "title": "Top Mutual Funds CA",
+    },
+    "top_mutual_funds_de": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for DE region",
+        "id": "21c3ea5b-9d0d-47ef-b12c-efa620c28c7f",
+        "title": "Top Mutual funds DE",
+    },
+    "top_mutual_funds_es": {
+        "desc": "Mutual Funds ordered by Percent Change for ES region",
+        "id": "3cb76596-ccf6-4bdf-9d37-93ac03515334",
+        "title": "Top Mutual funds ES",
+    },
+    "top_mutual_funds_fr": {
+        "desc": "MutualFunds ordered by Percent Change for FR region",
+        "id": "a58a9112-738c-4c59-afc2-b5f94ea923a8",
+        "title": "Top Mutual Funds FR",
+    },
+    "top_mutual_funds_gb": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for GB region",
+        "id": "8214a99f-4992-4e6a-9eab-1b68ba8124cf",
+        "title": "Top Mutual funds GB",
+    },
+    "top_mutual_funds_hk": {
+        "desc": "MutualFunds ordered by Percent Change for HK region",
+        "id": "b6e7a9e9-56d5-499b-b4af-018f45a65cd5",
+        "title": "Top Mutual Funds HK",
+    },
+    "top_mutual_funds_in": {
+        "desc": "Top Mutual funds for India",
+        "id": "1d7eb3bf-ba14-4eae-b09c-b72c772bd995",
+        "title": "Top Mutual funds for India",
+    },
+    "top_mutual_funds_it": {
+        "desc": "MutualFunds ordered by Percent Change for IT region",
+        "id": "dc43d757-d6c1-4129-bcf4-64e2fdd56472",
+        "title": "Top Mutual Funds IT",
+    },
+    "top_mutual_funds_nz": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for NZ region",
+        "id": "5a740873-637d-4895-bd5e-038a0d189025",
+        "title": "Top Mutual funds NZ",
+    },
+    "top_mutual_funds_sg": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for SG region",
+        "id": "c36f090e-98c0-40de-8cca-060e4d123304",
+        "title": "Top Mutual funds SG",
+    },
+    "top_mutual_funds_us": {
+        "desc": "Funds with Performance Rating of 4 & 5 ordered by Percent Change for US region",
+        "id": "b749fa8b-a782-4e64-9224-1ad76e8f3d6c",
+        "title": "Top Mutual funds US",
+    },
+    "top_options_implied_volatality": {
+        "desc": "Discover the options with the highest implied volatility.",
+        "id": "671c40b0-5ea8-4063-89b9-9db45bf9edf0",
+        "title": "Highest Implied Volatility",
+    },
+    "top_options_open_interest": {
+        "desc": "Discover the options with the highest open interest.",
+        "id": "65f51cea-8dc8-4e56-9f99-6ef7720eb69c",
+        "title": "Highest Open Interest",
+    },
+    "top_performing_etfs": {
+        "desc": "Uncover the ETFs with a Morningstar Performance Rating of 4 or 5.",
+        "id": "540ecf9c-5233-41d7-8adb-3daa5962ffe5",
+        "title": "Top Performing",
+    },
+    "top_performing_etfs_asia": {
+        "desc": "Uncover the ETFs with a Morningstar Performance Rating of 4 or 5.",
+        "id": "83cd34b7-7372-473e-97d7-1b9351203da7",
+        "title": "Top Performing",
+    },
+    "top_performing_etfs_europe": {
+        "desc": "Uncover the ETFs with a Morningstar Performance Rating of 4 or 5.",
+        "id": "416d6a69-a3e6-4de9-8cd2-b551b2bdafb3",
+        "title": "Top Performing",
+    },
+    "top_performing_mutual_funds": {
+        "desc": "Uncover the mutual funds with a Morningstar Performance Rating of 4 or 5.",
+        "id": "5ad812ec-0e30-4d5e-a37b-72c96ff8a6f5",
+        "title": "Top Performing",
+    },
+    "top_performing_mutual_funds_asia": {
+        "desc": "Uncover the mutual funds with a Morningstar Performance Rating of 4 or 5.",
+        "id": "cca0a3c4-caf1-4849-93b1-17db6dc7dc8a",
+        "title": "Top Performing",
+    },
+    "top_performing_mutual_funds_europe": {
+        "desc": "Uncover the mutual funds with a Morningstar Performance Rating of 4 or 5.",
+        "id": "0e910bbb-a6c4-4cb4-a4e5-d0a6881f0aee",
+        "title": "Top Performing",
+    },
+    "top_stocks_owned_by_cathie_wood": {
+        "desc": "Cathie Wood's top holdings as reported on her 13F filings.",
+        "id": "d70e5ae4-8714-4570-bfb5-2fe3915a51dc",
+        "title": "Top Stocks owned by Cathie Wood",
+    },
+    "top_stocks_owned_by_goldman_sachs": {
+        "desc": "Goldman Sachs's top holdings as reported on their 13F filings.",
+        "id": "26ff040e-7287-453c-b29b-3239530a71bd",
+        "title": "Top Stocks owned by Goldman Sachs",
+    },
+    "top_stocks_owned_by_ray_dalio": {
+        "desc": "Ray Dalio's top holdings as reported on his 13F filings.",
+        "id": "fe5923a9-47bc-44c3-a48b-394ed78b2384",
+        "title": "Top Stocks owned by Ray Dalio",
+    },
+    "top_stocks_owned_by_warren_buffet": {
+        "desc": "Warren Buffet's top holdings as reported on his 13F filings.",
+        "id": "a83d5ef1-9306-43ee-8123-c4503e9b51ac",
+        "title": "Top Stocks owned by Warren Buffet",
+    },
+    "travel_services": {
+        "desc": "Travel Services Stocks",
+        "id": "e9d2d268-7502-479e-a608-dfeefa90b027",
+        "title": "Travel Services",
+    },
+    "trucking": {
+        "desc": "Trucking Stocks",
+        "id": "44aab0f6-4878-45c3-885f-6c5c3d943c75",
+        "title": "Trucking",
+    },
+    "undervalued_growth_stocks": {
+        "desc": "Stocks with earnings growth rates better than 25% and relatively low PE and PEG ratios.",
+        "id": "b597175e-7243-4b42-82da-6811218a0945",
+        "title": "Undervalued Growth Stocks",
+    },
+    "undervalued_large_caps": {
+        "desc": "Large cap stocks that are potentially undervalued, ordered descending by volume",
+        "id": "e31b19b8-efe0-4ed1-8856-7715c2ef858d",
+        "title": "Potentially undervalued large cap stocks",
+    },
+    "undervalued_wide_moat_stocks": {
+        "desc": "Morningstar's undervalued stocks with a sustainable competitive advantage. A company with a wide economic moat can fend off competition for at least 20 years and earn high returns on capital for many years to come.",
+        "id": "0eaa1603-5d0a-427d-80f2-c69087dba4de",
+        "title": "Undervalued Wide-Moat Stocks",
+    },
+    "upside_breakout_stocks_daily": {
+        "desc": "Upside breakout stocks on a daily chart by Trading Central",
+        "id": "c8d23d60-84e3-4f32-8bca-fb2f04251390",
+        "title": "Upside Breakout Stocks",
+    },
+    "uranium": {
+        "desc": "Uranium Stocks",
+        "id": "c5467aa6-39ac-4ec3-bc0b-213e72ae9149",
+        "title": "Uranium",
+    },
+    "utilities_diversified": {
+        "desc": "Utilities—Diversified Stocks",
+        "id": "ba4e7e3d-d570-4d48-a85f-a81321233703",
+        "title": "Utilities—Diversified",
+    },
+    "utilities_independent_power_producers": {
+        "desc": "Utilities—Independent Power Producers Stocks",
+        "id": "ca979acd-b141-490a-b9e4-f5e03d23f7f9",
+        "title": "Utilities—Independent Power Producers",
+    },
+    "utilities_regulated_electric": {
+        "desc": "Utilities—Regulated Electric Stocks",
+        "id": "d15b8324-aa7d-421c-9da3-51a2e963bbda",
+        "title": "Utilities—Regulated Electric",
+    },
+    "utilities_regulated_gas": {
+        "desc": "Utilities—Regulated Gas Stocks",
+        "id": "7af3cba2-209a-4efd-968a-332e4e0bd0a3",
+        "title": "Utilities—Regulated Gas",
+    },
+    "utilities_regulated_water": {
+        "desc": "Utilities—Regulated Water Stocks",
+        "id": "74930302-d4d3-4425-933b-4ef26a41a446",
+        "title": "Utilities—Regulated Water",
+    },
+    "utilities_renewable": {
+        "desc": "Utilities—Renewable Stocks",
+        "id": "5fd7ee7b-4966-4db3-b427-d87b3cd0995a",
+        "title": "Utilities—Renewable",
+    },
+    "waste_management": {
+        "desc": "Waste Management Stocks",
+        "id": "76d69c29-2f57-4606-88f8-7fbbc2442430",
+        "title": "Waste Management",
+    },
+}