Freqtrade Strategy Development

Build profitable trading strategies with disciplined iteration, tight risk management, and data-driven entry/exit rules. Assumes Freqtrade is running via Docker (docker-compose).

Strategy Anatomy

Every Freqtrade strategy requires three methods:

• populate_indicators(dataframe, metadata) — Add technical indicators (RSI, MACD, Bollinger Bands, etc.) to the dataframe
• populate_entry_trend(dataframe, metadata) — Define buy signal logic; set enter_long = 1 when conditions met
• populate_exit_trend(dataframe, metadata) — Define sell signal logic; set exit_long = 1 when conditions met (optional if using ROI/stop-loss)

Key Config Parameters

stoploss = -0.03  # 3% max loss per trade
trailing_stop = True
trailing_stop_positive = 0.01
trailing_stop_positive_offset = 0.02