Browse Strategies

Strategy 0.2422 - Converted from StrategyQuantX

V4 goals (based on your feedback): - Trade MORE often (closer to V2 frequency). - Still robust: "further positioning" via adaptive spacing: * long-term trend adaptive spacing * ATR adaptive spacing (current regime) * spacing widens as bot_state increases (deeper adds further apart) - Keep additive DCA: 1, +2, +3 ... (no martingale) - Keep max_entries constraint exactly (6..8, max = 8 total = 7 adds + base) - Keep candle-count / hyperopt safe time handling. - Do NOT use populate_indicators().

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

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

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

Example strategy showing how the user connects their own IFreqaiModel to the strategy. Namely, the user uses: self.freqai.start(dataframe, metadata)

Example of a hybrid FreqAI strat, designed to illustrate how a user may employ FreqAI to bolster a typical Freqtrade strategy.

GridBotV3 goals: - Keep GridBotV2 structure (state machine + additive DCA). - Improve robustness: adaptive spacing based on long-term trend strength. - Reduce "death by ROI exits": enable exit_profit_only by default (prevents loss exits). - Keep it simple: same gating idea (post-move + low-vol) + light MA filters for first entry. - No populate_indicators() calculations (hyperopt-safe as you requested).

双均线交叉策略 (Double Moving Average Crossover Strategy)

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

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

PASTE OUTPUT FROM HYPEROPT HERE

PASTE OUTPUT FROM HYPEROPT HERE

Close to original GridV6_tmp7, but improved for edge: - No martingale scaling: additive pieces (1, +2, +3, ...) - Volatility regime gate: post-move + low-vol-for-N-candles - Extra light filters (only for FIRST entry): * KAMA slope: direction bias * VIDYA slope: responsiveness / momentum * FRAMA compression: regime (prefer compressed/noise zone after impulse) - Candle-count based time handling (hyperopt-safe) - Avoid populate_indicators() calculations - Updated config keys: * use_sell_signal -> u

Close to original GridV6_tmp7, but: - No martingale scaling: additive pieces (1, +2, +3, ...) - Volatility regime gate: only allow entry/add when post-move + low-vol-for-N-candles - Candle-count based time handling (hyperopt-safe) - Avoid populate_indicators() calculations - Fix deprecations: sell_profit_only -> exit_profit_only use_sell_signal -> use_exit_signal - Avoid unnecessary threshold recalculation: only recalc when state/grid/avg changes