candlestick-patterns

Candlestick Patterns

A Dash app to visualize and backtest candlestick patterns.

Features

• Fetches market data via yfinance
• Detects candlestick patterns via TA-Lib
• Choose entry/exit patterns, override candle settings, or specify signals manually
• Backtests signals using VectorBT
• Visualizes OHLCV, signals, orders, trades, and portfolio value with Plotly
• Displays key performance metrics (e.g., Sharpe ratio)
• Compares strategy vs buy & hold and random trading
• Responsive UI with Dash Bootstrap Components

Using uv

uv is a fast, modern replacement for pip + venv workflows.

1) Clone the repo

git clone https://github.com/polakowo/vectorbt.git
cd vectorbt/apps/candlestick-patterns

2) Create an environment + install deps

uv venv
uv pip install -r requirements.txt

3) Run the app

uv run python app.py

Then open: http://127.0.0.1:8050/

Tip

If you prefer activating the venv instead of using uv run, you can do:

• macOS/Linux: source .venv/bin/activate
• Windows (PowerShell): .venv\Scripts\activate

Then run python app.py.

Using Docker

Build and run:

docker build -t candlestick-patterns .
docker run -p 8050:8050 -e HOST='0.0.0.0' candlestick-patterns

Open: http://127.0.0.1:8050/

Note

The first run can take a while because of Numba JIT compilation.

Screenshot