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(1) Implement other strategies from "Trading strategies that work. | ||
(2) What percent of time, if high/low price is closest to the open, then high/low price came first. | ||
Need minute data for this. | ||
(3) Integrate with Norgate Data. | ||
(4) Install via pip. | ||
(5) Update Documentation. | ||
(6) Provide example that doesn't use jupyter notebook, just straight Python. | ||
(7) Youtube video for portfolio. |
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[build-system] | ||
requires = [ | ||
"setuptools>=42", | ||
"wheel" | ||
] | ||
build-backend = "setuptools.build_meta" |
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argon2-cffi==20.1.0 | ||
async-generator==1.10 | ||
attrs==20.3.0 | ||
argon2-cffi==21.1.0 | ||
attrs==21.2.0 | ||
backcall==0.2.0 | ||
bleach==3.3.0 | ||
certifi==2020.12.5 | ||
cffi==1.14.4 | ||
chardet==3.0.4 | ||
cycler==0.10.0 | ||
decorator==4.4.2 | ||
defusedxml==0.6.0 | ||
bleach==4.1.0 | ||
certifi==2021.10.8 | ||
cffi==1.15.0 | ||
charset-normalizer==2.0.8 | ||
configparser==5.1.0 | ||
cycler==0.11.0 | ||
debugpy==1.5.1 | ||
decorator==5.1.0 | ||
defusedxml==0.7.1 | ||
empyrical==0.5.5 | ||
entrypoints==0.3 | ||
idna==2.10 | ||
ipykernel==5.4.1 | ||
ipython==7.19.0 | ||
fonttools==4.28.2 | ||
idna==3.3 | ||
importlib-resources==5.4.0 | ||
ipykernel==6.5.1 | ||
ipython==7.29.0 | ||
ipython-genutils==0.2.0 | ||
jedi==0.17.2 | ||
Jinja2==2.11.3 | ||
joblib==0.17.0 | ||
jsonschema==3.2.0 | ||
jupyter-client==6.1.7 | ||
jupyter-core==4.7.0 | ||
jedi==0.18.1 | ||
Jinja2==3.0.3 | ||
jsonschema==4.2.1 | ||
jupyter-client==7.1.0 | ||
jupyter-core==4.9.1 | ||
jupyterlab-pygments==0.1.2 | ||
kiwisolver==1.3.1 | ||
lxml==4.6.3 | ||
MarkupSafe==1.1.1 | ||
matplotlib==3.3.3 | ||
kiwisolver==1.3.2 | ||
lxml==4.6.4 | ||
MarkupSafe==2.0.1 | ||
matplotlib==3.5.0 | ||
matplotlib-inline==0.1.3 | ||
mistune==0.8.4 | ||
nbclient==0.5.1 | ||
nbconvert==6.0.7 | ||
nbformat==5.0.8 | ||
nest-asyncio==1.4.3 | ||
notebook==6.4.1 | ||
numpy==1.19.4 | ||
packaging==20.7 | ||
pandas==1.1.5 | ||
pandas-datareader==0.9.0 | ||
pandocfilters==1.4.3 | ||
parso==0.7.1 | ||
multitasking==0.0.10 | ||
nbclient==0.5.9 | ||
nbconvert==6.3.0 | ||
nbformat==5.1.3 | ||
nest-asyncio==1.5.1 | ||
notebook==6.4.6 | ||
numpy==1.21.4 | ||
packaging==21.3 | ||
pandas==1.3.4 | ||
pandas-datareader==0.10.0 | ||
pandocfilters==1.5.0 | ||
parso==0.8.2 | ||
pexpect==4.8.0 | ||
pickleshare==0.7.5 | ||
Pillow==8.3.2 | ||
prometheus-client==0.9.0 | ||
prompt-toolkit==3.0.8 | ||
ptyprocess==0.6.0 | ||
pycparser==2.20 | ||
Pygments==2.7.4 | ||
pyparsing==2.4.7 | ||
pyrsistent==0.17.3 | ||
python-dateutil==2.8.1 | ||
pytz==2020.4 | ||
pyzmq==20.0.0 | ||
requests==2.25.0 | ||
scikit-learn==0.23.2 | ||
scipy==1.5.4 | ||
seaborn==0.11.0 | ||
Send2Trash==1.5.0 | ||
six==1.15.0 | ||
terminado==0.9.1 | ||
testpath==0.4.4 | ||
threadpoolctl==2.1.0 | ||
Pillow==8.4.0 | ||
prometheus-client==0.12.0 | ||
prompt-toolkit==3.0.22 | ||
ptyprocess==0.7.0 | ||
pycparser==2.21 | ||
Pygments==2.10.0 | ||
pyparsing==3.0.6 | ||
pyrsistent==0.18.0 | ||
python-dateutil==2.8.2 | ||
pytz==2021.3 | ||
pyzmq==22.3.0 | ||
requests==2.26.0 | ||
scipy==1.7.3 | ||
seaborn==0.11.2 | ||
Send2Trash==1.8.0 | ||
setuptools-scm==6.3.2 | ||
six==1.16.0 | ||
terminado==0.12.1 | ||
testpath==0.5.0 | ||
tomli==1.2.2 | ||
tornado==6.1 | ||
traitlets==5.0.5 | ||
urllib3==1.26.5 | ||
traitlets==5.1.1 | ||
urllib3==1.26.7 | ||
wcwidth==0.2.5 | ||
webencodings==0.5.1 | ||
yfinance==0.1.63 | ||
|
||
yfinance==0.1.67 | ||
zipp==3.6.0 |