Browse Strategies

RLAgentStrategy

Hybrid Futures Leverage Strategy with FreqAI - Market Regime Detection (Situation Awareness) - Dynamic Indicator Windows - Multi-Model Ensemble Support - RL Agent Ready - LONG/SHORT Trading for Futures with Leverage

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy designed for Hyperopt. The freqtradeai components are disabled for the optimization process.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

The following freqtrade strategy is released to sponsors of the non-profit FreqAI open-source project. If you find the FreqAI project useful, please consider supporting it by becoming a sponsor. We use sponsor money to help stimulate new features and to pay for running these public experiments, with a an objective of helping the community make smarter choices in their ML journey.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

FreqAI strategy that uses optimized machine learning models for trading decisions. This strategy integrates with the FreqAI framework and uses the custom feature engineering and risk management components from the codebase.

Example strategy showing how the user connects their own IFreqaiModel to the strategy.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

This is an example strategy that uses the LSTMRegressor model to predict the target score. Use at your own risk. This is a simple example strategy and should be used for educational purposes only.

Test strategy - used for testing freqAI functionalities. DO not use in production.

Test strategy - used for testing freqAI multimodel functionalities. DO not use in production.

Test strategy - used for testing freqAI multimodel functionalities. DO not use in production.

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

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

Example strategy showing how the user connects their own IFreqaiModel to the strategy. Namely, the user uses: self.model = CustomModel(self.config) self.model.bridge.start(dataframe, metadata)

Example strategy showing how the user connects their own IFreqaiModel to the strategy. Namely, the user uses: self.model = CustomModel(self.config) self.model.bridge.start(dataframe, metadata)