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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "vectorbt_t1.ipynb", | |
"provenance": [], | |
"collapsed_sections": [], | |
"authorship_tag": "ABX9TyMrGoojsGO7DNk6TNIPgJbk", | |
"include_colab_link": true | |
}, | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3" | |
}, | |
"language_info": { | |
"name": "python" | |
} | |
}, | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/changtimwu/b850ef6df713e1097992112d5dc38f3a/vectorbt_t1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 35 | |
}, | |
"id": "pzMgpDgPjh3O", | |
"outputId": "c3b562c5-c178-412d-fc09-4ea38ddaddaf" | |
}, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"application/vnd.google.colaboratory.intrinsic+json": { | |
"type": "string" | |
}, | |
"text/plain": [ | |
"'1.21.5'" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 7 | |
} | |
], | |
"source": [ | |
"import numpy as np\n", | |
"np.__version__\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"!pip install -U vectorbt yfinance" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "7r9kX5RrpPzZ", | |
"outputId": "e4b6e9b8-9e21-4070-a23f-c5c2aed9d00c" | |
}, | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"Collecting vectorbt\n", | |
" Downloading vectorbt-0.23.2.tar.gz (476 kB)\n", | |
"\u001b[K |████████████████████████████████| 476 kB 23.4 MB/s \n", | |
"\u001b[?25hCollecting yfinance\n", | |
" Downloading yfinance-0.1.70-py2.py3-none-any.whl (26 kB)\n", | |
"Requirement already satisfied: numpy>=1.16.5 in /usr/local/lib/python3.7/dist-packages (from vectorbt) (1.21.5)\n", | |
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"Collecting dateparser\n", | |
" Downloading dateparser-1.1.0-py2.py3-none-any.whl (288 kB)\n", | |
"\u001b[K |████████████████████████████████| 288 kB 49.2 MB/s \n", | |
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"Collecting schedule\n", | |
" Downloading schedule-1.1.0-py2.py3-none-any.whl (10 kB)\n", | |
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"Collecting mypy_extensions\n", | |
" Downloading mypy_extensions-0.4.3-py2.py3-none-any.whl (4.5 kB)\n", | |
"Requirement already satisfied: typing_extensions in /usr/local/lib/python3.7/dist-packages (from vectorbt) (3.10.0.2)\n", | |
"Collecting numba==0.53.1\n", | |
" Downloading numba-0.53.1-cp37-cp37m-manylinux2014_x86_64.whl (3.4 MB)\n", | |
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" Downloading llvmlite-0.36.0-cp37-cp37m-manylinux2010_x86_64.whl (25.3 MB)\n", | |
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"Collecting requests\n", | |
" Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)\n", | |
"\u001b[K |████████████████████████████████| 63 kB 1.9 MB/s \n", | |
"\u001b[?25hCollecting lxml>=4.5.1\n", | |
" Downloading lxml-4.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (6.4 MB)\n", | |
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"\u001b[?25hRequirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.10)\n", | |
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"Building wheels for collected packages: vectorbt\n", | |
" Building wheel for vectorbt (setup.py) ... \u001b[?25l\u001b[?25hdone\n", | |
" Created wheel for vectorbt: filename=vectorbt-0.23.2-py3-none-any.whl size=522432 sha256=1bab302f104411bbd3eab70d05c1a0087c74b77f9c42f382ab3068e1c5c125cd\n", | |
" Stored in directory: /root/.cache/pip/wheels/5b/db/78/000298dd55438dd3d1f43e921319bae160b6331ac79ca3bf61\n", | |
"Successfully built vectorbt\n", | |
"Installing collected packages: llvmlite, schedule, requests, numba, mypy-extensions, lxml, dateparser, yfinance, vectorbt\n", | |
" Attempting uninstall: llvmlite\n", | |
" Found existing installation: llvmlite 0.34.0\n", | |
" Uninstalling llvmlite-0.34.0:\n", | |
" Successfully uninstalled llvmlite-0.34.0\n", | |
" Attempting uninstall: requests\n", | |
" Found existing installation: requests 2.23.0\n", | |
" Uninstalling requests-2.23.0:\n", | |
" Successfully uninstalled requests-2.23.0\n", | |
" Attempting uninstall: numba\n", | |
" Found existing installation: numba 0.51.2\n", | |
" Uninstalling numba-0.51.2:\n", | |
" Successfully uninstalled numba-0.51.2\n", | |
" Attempting uninstall: lxml\n", | |
" Found existing installation: lxml 4.2.6\n", | |
" Uninstalling lxml-4.2.6:\n", | |
" Successfully uninstalled lxml-4.2.6\n", | |
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", | |
"google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.27.1 which is incompatible.\n", | |
"datascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\n", | |
"Successfully installed dateparser-1.1.0 llvmlite-0.36.0 lxml-4.8.0 mypy-extensions-0.4.3 numba-0.53.1 requests-2.27.1 schedule-1.1.0 vectorbt-0.23.2 yfinance-0.1.70\n" | |
] | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"import vectorbt as vbt\n", | |
"\n", | |
"price = vbt.YFData.download('BTC-USD').get('Close')\n", | |
"\n", | |
"pf = vbt.Portfolio.from_holding(price, init_cash=101)\n", | |
"pf.total_profit()" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "MCuWoV__pJ8c", | |
"outputId": "4cfd75a2-25fd-4370-dc21-1d375b28a79e" | |
}, | |
"execution_count": 4, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"9635.935072325552" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 4 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"fast_ma = vbt.MA.run(price, 10)\n", | |
"slow_ma = vbt.MA.run(price, 50)\n", | |
"entries = fast_ma.ma_crossed_above(slow_ma)\n", | |
"exits = fast_ma.ma_crossed_below(slow_ma)\n", | |
"\n", | |
"pf = vbt.Portfolio.from_signals(price, entries, exits, init_cash=100)\n", | |
"pf.total_profit()" | |
], | |
"metadata": { | |
"id": "_9ISOLm4pOWM", | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"outputId": "9e1dfce6-88fc-44ef-acb7-5e3593e0e39e" | |
}, | |
"execution_count": 5, | |
"outputs": [ | |
{ | |
"output_type": "execute_result", | |
"data": { | |
"text/plain": [ | |
"16657.857561429635" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 5 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"symbols = [\"BTC-USD\", \"ETH-USD\"]\n", | |
"price = vbt.YFData.download(symbols, missing_index='drop').get('Close')\n", | |
"\n", | |
"n = np.random.randint(10, 101, size=1000).tolist()\n", | |
"pf = vbt.Portfolio.from_random_signals(price, n=n, init_cash=100, seed=42)\n", | |
"\n", | |
"mean_expectancy = pf.trades.expectancy().groupby(['randnx_n', 'symbol']).mean()\n", | |
"fig = mean_expectancy.unstack().vbt.scatterplot(xaxis_title='randnx_n', yaxis_title='mean_expectancy')\n", | |
"fig.show()" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 422 | |
}, | |
"id": "bMwgRUFkshOx", | |
"outputId": "9431d128-62d5-4aa7-b48d-52066da902bd" | |
}, | |
"execution_count": 8, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stderr", | |
"text": [ | |
"/usr/local/lib/python3.7/dist-packages/vectorbt/data/base.py:527: UserWarning: Symbols have mismatching index. Dropping missing data points.\n", | |
" data = cls.align_index(data, missing=missing_index)\n" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/html": [ | |
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{ | |
"cell_type": "code", | |
"source": [ | |
"symbols = [\"BTC-USD\", \"ETH-USD\", \"LTC-USD\"]\n", | |
"price = vbt.YFData.download(symbols, missing_index='drop').get('Close')\n", | |
"\n", | |
"windows = np.arange(2, 101)\n", | |
"fast_ma, slow_ma = vbt.MA.run_combs(price, window=windows, r=2, short_names=['fast', 'slow'])\n", | |
"entries = fast_ma.ma_crossed_above(slow_ma)\n", | |
"exits = fast_ma.ma_crossed_below(slow_ma)\n", | |
"\n", | |
"pf_kwargs = dict(size=np.inf, fees=0.001, freq='1D')\n", | |
"pf = vbt.Portfolio.from_signals(price, entries, exits, **pf_kwargs)\n", | |
"\n", | |
"fig = pf.total_return().vbt.heatmap(\n", | |
" x_level='fast_window', y_level='slow_window', slider_level='symbol', symmetric=True,\n", | |
" trace_kwargs=dict(colorbar=dict(title='Total return', tickformat='%')))\n", | |
"fig.show()" | |
], | |
"metadata": { | |
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"height": 643 | |
}, | |
"id": "-f1imisStT9q", | |
"outputId": "77078ef5-205a-45b2-d685-7b99a19a8558" | |
}, | |
"execution_count": 9, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stderr", | |
"text": [ | |
"/usr/local/lib/python3.7/dist-packages/vectorbt/data/base.py:527: UserWarning:\n", | |
"\n", | |
"Symbols have mismatching index. Dropping missing data points.\n", | |
"\n" | |
] | |
}, | |
{ | |
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"data": { | |
"text/plain": [ | |
"Start 2017-11-09 00:00:00+00:00\n", | |
"End 2022-03-01 00:00:00+00:00\n", | |
"Period 1574 days 00:00:00\n", | |
"Start Value 100.0\n", | |
"End Value 1477.648187\n", | |
"Total Return [%] 1377.648187\n", | |
"Benchmark Return [%] 823.83614\n", | |
"Max Gross Exposure [%] 100.0\n", | |
"Total Fees Paid 38.71286\n", | |
"Max Drawdown [%] 70.734951\n", | |
"Max Drawdown Duration 759 days 00:00:00\n", | |
"Total Trades 38\n", | |
"Total Closed Trades 38\n", | |
"Total Open Trades 0\n", | |
"Open Trade PnL 0.0\n", | |
"Win Rate [%] 47.368421\n", | |
"Best Trade [%] 120.511071\n", | |
"Worst Trade [%] -27.772271\n", | |
"Avg Winning Trade [%] 35.698238\n", | |
"Avg Losing Trade [%] -11.117578\n", | |
"Avg Winning Trade Duration 36 days 05:20:00\n", | |
"Avg Losing Trade Duration 7 days 21:36:00\n", | |
"Profit Factor 2.051045\n", | |
"Expectancy 36.2539\n", | |
"Sharpe Ratio 1.2408\n", | |
"Calmar Ratio 1.226136\n", | |
"Omega Ratio 1.290564\n", | |
"Sortino Ratio 1.878886\n", | |
"Name: (10, 20, ETH-USD), dtype: object" | |
] | |
}, | |
"metadata": {}, | |
"execution_count": 10 | |
} | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"pf[(10, 20, 'ETH-USD')].plot().show()" | |
], | |
"metadata": { | |
"id": "j7ou5yw3uZej", | |
"outputId": "5969ad55-b74a-406a-cd41-eda6d8f73a37", | |
"colab": { | |
"base_uri": "https://localhost:8080/", | |
"height": 977 | |
} | |
}, | |
"execution_count": 11, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/html": [ | |
"<html>\n", | |
"<head><meta charset=\"utf-8\" /></head>\n", | |
"<body>\n", | |
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