73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
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# candlestick-patterns
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This app creates a dashboard using [Dash](https://github.com/plotly/dash) to visualize and backtest candlestick patterns.
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* Supports [Yahoo! Finance](https://github.com/ranaroussi/yfinance) tickers
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* Supports [TA-Lib](https://github.com/mrjbq7/ta-lib) candlestick patterns
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* Allows to choose entry and exit patterns, and override candle settings
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* Allows to specify signals manually
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* Performs backtesting on selected signals using [vectorbt](https://github.com/polakowo/vectorbt)
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* Visualizes OHLCV, signals, orders, trades and portfolio value using [Plotly](https://github.com/plotly/plotly.py)
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* Displays key performance metrics such as Sharpe ratio
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* Compares main strategy to holding and trading randomly
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* Responsive design using [Dash Bootstrap Components](https://github.com/facultyai/dash-bootstrap-components)
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## How to run the app
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### Using Docker
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Build the Docker image and run the container:
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```bash
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docker build -t candlestick-patterns .
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docker run -p 8050:8050 -e HOST='0.0.0.0' candlestick-patterns
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```
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Visit [http://127.0.0.1:8050/](http://127.0.0.1:8050/)
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Note: Compiling for the first time may take a while.
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### Using virtual environment
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To get started, first clone this repo:
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```bash
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git clone https://github.com/polakowo/vectorbt.git
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cd vectorbt/apps/candlestick-patterns
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```
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Create and activate a conda env:
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```bash
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conda create -n candlestick-patterns python=3.7.6
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conda activate candlestick-patterns
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```
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Or a venv (make sure your Python is 3.6+):
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```bash
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python3 -m venv venv
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source venv/bin/activate # Unix
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venv\Scripts\activate # Windows
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```
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Install the requirements:
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```bash
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pip install -r requirements.txt
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```
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In case of errors related to TA-Lib, see [Troubleshooting](https://github.com/mrjbq7/ta-lib#troubleshooting).
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Run the app:
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```bash
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python app.py
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```
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Visit [http://127.0.0.1:8050/](http://127.0.0.1:8050/)
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## Screenshot
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