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Exit logic comparisons
Freqtrade allows your strategy to implement different exit logic using signal-based or callback-based functions. This section aims to compare each different function, helping you to choose the one that best fits your needs.
populate_exit_trend()- Vectorized signal-based exit logic using indicators in the main dataframe ✅ Use to define exit signals based on indicators or other data that can be calculated in a vectorized manner. 🚫 Don't use to customize exit conditions for each individual trade, or if trade data is necessary to make an exit decision.custom_exit()- Custom exit logic that will fully exit a trade immediately, called for every open trade at every bot loop iteration until a trade is closed. ✅ Use to specify exit conditions for each individual trade (including any additional adjusted orders usingadjust_trade_position()), or if trade data is necessary to make an exit decision, e.g. using profit data to exit. 🚫 Don't use when you want to exit using vectorised indicator-based data (use apopulate_exit_trend()signal instead), or as a proxy forcustom_stoploss(), and be aware that rate-based exits in backtesting can be inaccurate.custom_stoploss()- Custom trailing stoploss, called for every open trade every iteration until a trade is closed. The value returned here is also used for stoploss on exchange.
✅ Use to customize the stoploss logic to set a dynamic stoploss based on trade data or other conditions. 🚫 Don't use to exit a trade immediately based on a specific condition. Usecustom_exit()for that purpose.custom_roi()- Custom ROI, called for every open trade every iteration until a trade is closed. ✅ Use to specify a minimum ROI threshold ("take-profit") to exit a trade at this ROI level at some point within the trade duration, based on profit or other conditions. 🚫 Don't use to exit a trade immediately based on a specific condition. Usecustom_exit(). 🚫 Don't use for static ROI. Useminimal_roi.