Browse Strategies

Robust Version 1 (works with RangeIndex dataframes in backtesting): - Uses dataframe['date'] (Freqtrade standard) as the time source. - Builds a daily 1-hour channel starting at (channel_start_hour:channel_start_minute). - Measures "overnight" window before channel start (ATR% + directionality proxy). - Skip day if channel width outside bounds. - After channel ends, allow breakout entries for entry_expiry_minutes. - TP at proj_takeprofit_mult * channel_width. - Stop management via custom_stoplos

Wednesday-only futures strategy (long + short) using "less common" indicators: ZLEMA, HMA, Ultimate Oscillator, Awesome Oscillator, and ATR.

Tuesday-only futures strategy (long + short) using Ehlers-style signals.

Thursday-only futures strategy (long + short) focusing on price/volume.

Monday-only futures strategy (long + short) designed to reliably take ~1 trade most Mondays. No informative timeframes; uses long-period EMA on 15m as a regime filter.

Friday-only volatility / momentum strategy. Goal: - Open 1 trade on (almost) every Friday (when market is tradable / liquid), ideally during the US-session / after-close volatility window. - Max 2 trades total (controlled via max_open_trades + cooldown protection). - No informative timeframes; use long-period EMA on the same timeframe as regime filter.

V5 goals: 1) Fix volatility_tp so it cannot be a loss exit (direction-aware, profit-gated). 2) Make critical "loss bucket" controls optimizable: - time_decay_hours - time_decay_min_profit - atr_trail_allow_on_loss - atr_trail_min_profit_if_allow_on_loss (safety gate) 3) Keep everything hyperopt-friendly and avoid KeyError for MA columns.

1-Min MACD + Parabolic SAR Trend-Follow Scalper

Keltner Channel Break + ATR Trail Strategy

Inside-Bar Breakout Strategy (Price Action Only)

EMA Trend + Pullback RSI Scalper

Breakout of Consolidation Box Strategy

5-Min Bollinger Band Mean Reversion Strategy

This is a sample strategy to inspire you. More information in https://www.freqtrade.io/en/latest/strategy-customization/

This is FrostAura's random strategy powered by nature.

This is FrostAura's mark 3 strategy which aims to make purchase decisions based on the BB, RSI and Stochastic.

This is FrostAura's mark 3 strategy which aims to make purchase decisions based on the BB, RSI and Stochastic.

This is FrostAura's mark 2 strategy which aims to make purchase decisions based on the Stochastic and RSI.

This is FrostAura's mark 1 strategy which aims to make purchase decisions based on the BB and RSI.

This is FrostAura's mark 1 strategy which aims to make purchase decisions based on the BB and RSI.