freqtrade

What problem does it solve?

Enables developers to rapidly create, validate, and optimize algorithmic crypto trading strategies while avoiding common pitfalls like lookahead bias and misconfigured bot settings, reducing debugging time and improving reproducibility.

Core Features & Use Cases

• Strategy development: Scaffold IStrategy implementations, populate indicators, and implement entry/exit logic with clear guidance on startup candle counts and vectorized operations.
• Backtesting & optimization: Run deterministic backtests, hyperopt parameter searches, and analyze results to find robust buy/sell/roi/stoploss settings.
• Data & configuration: Download OHLCV for multiple timeframes, manage spot and futures config details, and implement callbacks for custom_stoploss, DCA, and leverage control.
• Real-world example: Build a multi-timeframe RSI strategy, download 30 days of 5m and 1h OHLCV, run a backtest to validate trade count and then hyperopt buy parameters to improve Sharpe ratio.

Quick Start

Create a new Freqtrade strategy template named MyStrategy, download 30 days of OHLCV for 5m and 1h timeframes, and run a backtest followed by a hyperopt to tune buy parameters.