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Backtide is an open-source backtesting platform for Python, built for retail investors who want to test trading ideas without drowning in complexity. A Rust-powered core keeps simulations and paper execution fast, while sensible defaults let you go from raw multi-exchange data to validated strategies in just a few lines of code. Run the same strategy objects against historical bars or public exchange WebSockets, without connecting a brokerage account.
- Fast — Rust-powered engine runs backtests in a fraction of a second.
- Simple — Sensible defaults mean a working backtest in minutes, not hours of configuration.
- Flexible — Every parameter is exposed and customizable when you need full control.
- Multi-exchange — Stocks, ETFs, forex and crypto from Yahoo, Binance, Kraken and more.
- Batteries included — Built-in strategies and technical indicators out of the box.
- Rich analytics — 20+ plots cover PnL, returns, drawdown and more.
- Live paper trading — Apply strategies to Binance, Coinbase, or Kraken WebSocket candles with local simulated fills.
- Interactive UI — A packaged Vue app configures, runs, and analyzes backtests and paper sessions visually.
- Simple installation — Python wheels include the Rust extension and production frontend; users do not need Rust or Node.js.
- Open source — MIT-licensed, community-driven and free forever.
Install the wheel and launch the local application:
pip install backtide
backtide launchThat single Python installation includes the compiled backend and web frontend.
Based on comprehensive benchmarks:
Data download & storage
| Operation | Performance | Use Case |
|---|---|---|
| OHLC download (1 symbol - 1m)* | ~33ms | Data ingestion |
| OHLC download (1 symbol - 1d)* | ~31ms | Data ingestion |
| Batch insert (100 bars) | ~20ms | Bulk processing |
| Batch insert (10k bars) | ~45ms | Bulk processing |
| Historical read (1000 bars) | ~1.5ms | Backtesting |
| Historical read (1M bars) | ~711ms | Backtesting |
*Downloads hit real network endpoints. Yahoo Finance applies rate limits, so these numbers are meant as a reference, not as a real benchmark.
Backtest (11k bars)
| Strategy | Performance | Use Case |
|---|---|---|
| Buy & Hold | ~1.1ms | Backtesting |
| ROC Rotation | ~1.1ms | Backtesting |
| RSRS Rotation | ~1.1ms | Backtesting |
| Multi-BB Rotation | ~1.2ms | Backtesting |
| ROC | ~1.3ms | Backtesting |
| Triple RSI Rotation | ~1.5ms | Backtesting |
| VCP | ~1.5ms | Backtesting |
| RSRS | ~1.7ms | Backtesting |
| Double Top | ~2.2ms | Backtesting |
| Momentum | ~4.1ms | Backtesting |
| SMA Naive | ~4.2ms | Backtesting |
| Alpha RSI Pro | ~4.5ms | Backtesting |
| Turtle Trading | ~4.6ms | Backtesting |
| Risk Averse | ~4.9ms | Backtesting |
| BB Mean Reversion | ~5.5ms | Backtesting |
| MACD | ~6.3ms | Backtesting |
| Adaptive RSI | ~7.4ms | Backtesting |
| SMA Crossover | ~7.7ms | Backtesting |
| Hybrid Alpha RSI | ~7.9ms | Backtesting |
| RSI | ~8.8ms | Backtesting |
| Relevant links | |
|---|---|
| ⭐ About | Learn more about the package. |
| 🚀 Getting started | New to backtide? Here's how to get you started! |
| 👨💻 User guide | How to use backtide and its features. |
| 🎛️ API Reference | The detailed reference for backtide's API. |
| ❔ FAQ | Get answers to frequently asked questions. |
| 🔧 Contributing | Do you wan to contribute to the project? Read this before creating a PR. |
| 🌳 Dependencies | Which other packages does backtide depend on? |
| 📃 License | Copyright and permissions under the MIT license.__ |