Browse Strategies

Strategy: based on BBL3H2RSIStdStrategy, with the following modifications: - removed MFI for both buy and sell signals - removed RSI for sell signal

Strategy: optimized for Sharpe ratio loss function

Strategy: optimized for standard loss function

Strategy: based on BBL3H2RSIStdStrategy, with the following modifications: - removed MFI for both buy and sell signals - changed bb high2 to bb high 1 for the sell signal

Strategy: Buy hyperspace params: {'rsi-enabled': False, 'rsi-value': 44, 'trigger': 'bb_lower3'} Sell hyperspace params: {'sell-trigger': 'sell-bb_high1'} ROI table: {0: 0.15731, 157: 0.11198, 662: 0.03768, 1081: 0} Stoploss: -0.20001

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

Context7 Super Powers: Ichimoku LLM Enhanced V1 Multi-Timeframe Optimized V2

Context7 Super Powers: Ichimoku LLM Restored V1

Context7 Super Powers: Ichimoku LLM Enhanced V1 Clean Version

Context7 Super Powers: Ichimoku LLM Enhanced V1 - Intelligent Stake Sizing

🚀 CONTEXT7 SUPER POWERS ENHANCED V8092 - Production Ready

Example of a hybrid FreqAI strat, designed to illustrate how a user may employ FreqAI to bolster a typical Freqtrade strategy. Launching this strategy would be: freqtrade trade --strategy FreqaiExampleHybridStrategy --strategy-path freqtrade/templates --freqaimodel CatboostClassifier --config config_examples/config_freqai.example.json or the user simply adds this to their config: "freqai": { "enabled": true, "purge_old_models": true, "train_period_days": 15, "identifier": "uniqe-id", "feature_pa