Browse Strategies

Corrected for your environment:

Adaptive MA strategy (hyperopt-safe / epoch-safe):

Hyperopt-safe rewrite (matches backtest next time):

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.

V3: Hyperopt-safe + safer ATR trailing exit.

V3: Hyperopt-safe + safer ATR trailing exit.

Futures strategy based on Williams Fractals with long and short positions.

Futures strategy based on Williams Fractals with long and short positions.

Multi-Timeframe Strategy with Ichimoku Cloud and ADX

Multi-Timeframe Strategy with EMA, RSI, MACD, and Bollinger Bands

Multi-Timeframe Strategy with CMO and RSI

Base strategy for ForexDog variations Contains all common parameters and indicator calculations

Multi-Timeframe Volatility Squeeze Breakout Strategy

Multi-Timeframe Trend Riding Strategy

Multi-Timeframe Momentum Strategy

Multi-Timeframe Mean Reversion Strategy

Multi-Timeframe Dynamic Volatility Strategy

Dynamic Support/Resistance RSI Strategy