performance.ipynb

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    "# Trading Performance\n",
    "\n",
    "This notebook retrieves your trade data from Binance to calculate the pnl from your trading.\n",
    "\n",
    "The methodology for calculating PNL is:\n",
    "\n",
    "1. Calculate the total amount of net base asset purchased (or sold) and the total amount of quote asset spent (or received)\n",
    "2. Calculate the value of these changes based on current asset spot price\n",
    "3. Calculate the value of the fees paid out in the trades\n",
    "\n",
    "Note that this methodology is one way of trying to evaluate the benefit if your trading activity, i.e. doing something versus doing nothing.  This does not capture any changes in portfolio value due to general market movements that may result in the appreciation of the value of base assets and quote assets.\n",
    "\n",
    "## Instructions\n",
    "\n",
    "Step 0) Select `Runtime` => `Run all`\n",
    "\n",
    "Step 1) Input your ***read only*** API keys\n",
    "\n",
    "Step 2) Input trading pair and start date\n",
    "\n",
    "Step 3) click start\n",
    "\n",
    "## Notes\n",
    "\n",
    "- `% gain and loss` is based on your current balance of base and quote asset.  This may not be a comprehensive figure if (1) you have made deposits/withdrawals within the period being analyzed, and (2) if you are trading multiple pairs with overlapping base and quote assets\n",
    "\n",
    "## Comments / bugs / suggestions\n",
    "\n",
    "Please email [carlo@hummingbot.io](mailto:carlol@hummingbot.io?subject=Colab:%20Performance%20Sheet).  \n",
    "Please email [amine@hummingbot.io](mailto:amine@hummingbot.io?subject=Colab:%20Performance%20Sheet)."
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       "Box(children=(Box(children=(Label(value='Exchange'), Dropdown(options=('binance', 'kucoin', 'ascendex', 'gate_io'), value…"
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       "Button(button_style='success', description='Start !', style=ButtonStyle())"
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    "#@title\n",
    "#pull the logic code for colab env\n",
    "from ipywidgets import Layout, Button, Box, FloatText,Text, Password, Dropdown, Label, IntSlider,DatePicker\n",
    "from IPython.display import clear_output\n",
    "import datetime\n",
    "\n",
    "exchange_in = Dropdown(options=['binance', 'kucoin', 'ascendex','gate_io'])\n",
    "base_asset_in = Text()\n",
    "quote_asset_in = Text()\n",
    "api_key_in = Password()\n",
    "api_secret_in = Password()\n",
    "api_passphrase_in = Password()\n",
    "api_group_in = Text()\n",
    "start_date_in = DatePicker(disabled=False,value=datetime.datetime.now())\n",
    "end_date_in = DatePicker(disabled=False,value=datetime.datetime.now())\n",
    "\n",
    "form_item_layout = Layout(\n",
    "    display='flex',\n",
    "    flex_flow='row',\n",
    "    justify_content='space-between'\n",
    ")\n",
    "\n",
    "op_item_passphrase_layout = Layout(\n",
    "    display='flex',\n",
    "    flex_flow='row',\n",
    "    justify_content='space-between'\n",
    ")\n",
    "\n",
    "op_item_group_layout = Layout(\n",
    "    display='flex',\n",
    "    flex_flow='row',\n",
    "    justify_content='space-between'\n",
    ")\n",
    "\n",
    "box_passPhrase = Box([Label(value='Passphrase'), \n",
    "    api_passphrase_in], layout=op_item_passphrase_layout)\n",
    "box_group =   Box([Label(value='Api group'), \n",
    "    api_group_in], layout=op_item_group_layout)\n",
    "\n",
    "form_items = [\n",
    "    Box([Label(value='Exchange'), exchange_in], layout=form_item_layout),\n",
    "    Box([Label(value='Trading pair'), Box([base_asset_in,Label(value='/'),quote_asset_in])], layout=form_item_layout),\n",
    "    Box([Label(value='Api Key'), \n",
    "         api_key_in], layout=form_item_layout),\n",
    "    Box([Label(value='Secret Key'), \n",
    "         api_secret_in], layout=form_item_layout),\n",
    "    box_passPhrase,\n",
    "    box_group,\n",
    "    Box([Label(value='Start Date'), start_date_in], layout=form_item_layout),\n",
    "    Box([Label(value='End Date'), end_date_in], layout=form_item_layout),\n",
    "]\n",
    "\n",
    "button = Button(\n",
    "    description='Start !',\n",
    "    button_style='success'\n",
    "  )\n",
    "\n",
    "form = Box(form_items, layout=Layout(\n",
    "    display='flex',\n",
    "    flex_flow='column',\n",
    "    border='solid 2px',\n",
    "    align_items='stretch',\n",
    "    width='50%'\n",
    "))\n",
    "\n",
    "box_passPhrase.layout.display = 'none'\n",
    "box_group.layout.display = 'none'\n",
    "display(form,button)\n",
    "\n",
    "def on_change(change):\n",
    "    if change['type'] == 'change' and change['name'] == 'value':\n",
    "        if(change['new'] == 'kucoin'):\n",
    "            box_passPhrase.layout.display = 'flex'\n",
    "            box_group.layout.display = 'none'\n",
    "        elif(change['new'] == 'ascendex'):\n",
    "            box_passPhrase.layout.display = 'none'\n",
    "            box_group.layout.display = 'flex'\n",
    "        else:\n",
    "            box_passPhrase.layout.display = 'none'\n",
    "            box_group.layout.display = 'none'\n",
    "\n",
    "\n",
    "exchange_in.observe(on_change)\n",
    "\n",
    "def start(b):    \n",
    "    clear_output(wait=True)\n",
    "    if 'google.colab' in str(get_ipython()):\n",
    "      !git clone https://github.com/CoinAlpha/pnl-analysis\n",
    "      %cd pnl-analysis/\n",
    "      !pip install -r requirements.txt\n",
    "    clear_output(wait=True)\n",
    "    import pandas as pd\n",
    "    import numpy as np\n",
    "    import json\n",
    "    import plotly.graph_objects as go\n",
    "    from IPython.core.display import display, HTML\n",
    "    from datetime import datetime\n",
    "    from src.processing import pnl_calculate\n",
    "\n",
    "    # Set display\n",
    "    pd.options.display.float_format = '{:,.10f}'.format\n",
    "\n",
    "    import warnings\n",
    "    warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "    START_TIME=start_date_in.value\n",
    "    END_TIME=end_date_in.value\n",
    "    exchange = exchange_in.value\n",
    "    api_key = api_key_in.value\n",
    "    api_secret = api_secret_in.value\n",
    "    api_passphrase = api_passphrase_in.value\n",
    "    api_group = api_group_in.value\n",
    "    client = None\n",
    "    trading_pair = None   \n",
    "    start_dt = int(pd.to_datetime(START_TIME).timestamp()*1000)\n",
    "    end_dt = int(pd.to_datetime(END_TIME).timestamp()*1000)\n",
    "    if exchange == 'binance': \n",
    "        from src.binance.binance_client_wrapper import BinanceClientWrapper \n",
    "        client = BinanceClientWrapper.create_instance(api_key,api_secret)\n",
    "        trading_pair = base_asset_in.value+quote_asset_in.value   \n",
    "    elif exchange == 'kucoin':\n",
    "        from src.kucoin.kucoin_client_wrapper import KucoinClientWrapper\n",
    "        client = KucoinClientWrapper.create_instance(api_key,api_secret,api_passphrase)\n",
    "        trading_pair = base_asset_in.value+\"-\"+quote_asset_in.value   \n",
    "\n",
    "    elif exchange == 'ascendex':\n",
    "        from src.ascendex.ascendex_client_wrapper import AscendexClientWrapper\n",
    "        client = AscendexClientWrapper.create_instance(api_key,api_secret,api_group)\n",
    "        trading_pair = base_asset_in.value+\"/\"+quote_asset_in.value   \n",
    "\n",
    "    elif exchange == 'gate_io':\n",
    "        !pip install gate_api\n",
    "        from src.gate_io.GateIoClientWrapper import GateIoClientWrapper\n",
    "        client = GateIoClientWrapper.create_instance(api_key,api_secret)\n",
    "        trading_pair = base_asset_in.value+\"_\"+quote_asset_in.value   \n",
    "\n",
    "    from jinja2 import Template\n",
    "\n",
    "    class Printer:\n",
    "        @staticmethod\n",
    "        def h1(*title):\n",
    "            title_t = Template(\"<h1>{{title}}</h1>\")\n",
    "            display(HTML(title_t.render(title=\" \".join([str(t) for t in title]))))\n",
    "        @staticmethod\n",
    "        def h2(*title):\n",
    "            title_t = Template(\"<h2>{{title}}</h2>\")\n",
    "            display(HTML(title_t.render(title=\" \".join([str(t) for t in title]))))\n",
    "        @staticmethod\n",
    "        def h3(*title):\n",
    "            title_t = Template(\"<h3>{{title}}</h3>\")\n",
    "            display(HTML(title_t.render(title=\" \".join([str(t) for t in title]))))\n",
    "\n",
    "        @staticmethod\n",
    "        def html(html):\n",
    "            display(HTML(html))\n",
    "        \n",
    "        @staticmethod\n",
    "        def p_df(df):\n",
    "            \"\"\"Neatly display a dataframe\"\"\"\n",
    "            display(HTML(df.to_html()))\n",
    "            \n",
    "        def p_dict(dt):\n",
    "            df = pd.DataFrame()\n",
    "            df['_'] = dt.keys()\n",
    "            df['__'] = dt.values()\n",
    "            Printer.p_df(df)\n",
    "\n",
    "    class Vis:\n",
    "        \n",
    "        def graph_trades(df):\n",
    "            df = df.pivot_table(values=[\"qty\"], columns=[\"side\"], index=[\"date_time\"], aggfunc=np.sum, fill_value=0)\n",
    "            df.columns = map(lambda x: x[1], df.columns)\n",
    "            df = df.resample(\"h\").sum()\n",
    "            if 'sell' in df:\n",
    "                df[\"sell\"] = df[\"sell\"] * -1\n",
    "\n",
    "            fig = go.Figure()\n",
    "            x = df.index\n",
    "            for name in np.sort(df.columns):\n",
    "                y = df[name]\n",
    "                fig.add_trace(go.Bar(x=x, y=y, name=name))\n",
    "            fig.update_layout(barmode=\"relative\", legend_orientation=\"h\", yaxis_tickformat=\",.0f\", yaxis_title=\"Base token amounts\")\n",
    "            fig.show()\n",
    "\n",
    "    balance,base,quote,base_price,quote_price = client.get_current_asset_balance(trading_pair)\n",
    "    Printer.h3(f\"Loading Trades {trading_pair} from {START_TIME} to {END_TIME} : \")\n",
    "    Printer.html(\"<img src=https://i.imgur.com/CS6l6tB.gif>\")\n",
    "    df_trades = client.get_trades(trading_pair,start_dt,end_dt)\n",
    "    meta = {\n",
    "        'base_asset':base,\n",
    "        'quote_asset':quote,\n",
    "        'quote_asset_price':quote_price,\n",
    "        'base_asset_price':base_price\n",
    "    }\n",
    "    clear_output(wait=True)\n",
    "    display(form,button)\n",
    "    summary,df_summary_table,total_fees_usd,df_commissions = pnl_calculate(df_trades,balance,meta)\n",
    "    Printer.h1(trading_pair,\":\",START_TIME,\"to\", END_TIME)\n",
    "\n",
    "    total_balance_usd = balance['usd_value'].sum()\n",
    "    Printer.h3(f\"Current balance: ${total_balance_usd:,.2f}\")\n",
    "    Printer.p_df(balance)\n",
    "\n",
    "    ## Calculate performance\n",
    "    Printer.h2(\"Trades\")\n",
    "    Printer.p_df(df_trades)\n",
    "    Printer.h2(\"Performance summary\")\n",
    "    Printer.p_dict(summary)\n",
    "    Printer.p_df(df_summary_table)\n",
    "    Printer.h2(f\"Trade commissions: {total_fees_usd}\")\n",
    "    Printer.p_df(df_commissions)\n",
    "    Printer.h3(\"Historical trades\")\n",
    "    Vis.graph_trades(df_trades)\n",
    "\n",
    "button.on_click(start)"
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