Browse Strategies

this strategy is based around the idea of generating a lot of potentatils buys and make tiny profits on each trade

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

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

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

The following freqaimodel 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 a strategy template to get you started. More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md You can: :return: a Dataframe with all mandatory indicators for the strategies - Rename the class name (Do not forget to update class_name) - Add any methods you want to build your strategy - Add any lib you need to build your strategy You must keep: - the lib in the section "Do not remove these libs" - the prototype for the methods: minimal_roi, stoplo

This is a strategy template to get you started. More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md You can: :return: a Dataframe with all mandatory indicators for the strategies - Rename the class name (Do not forget to update class_name) - Add any methods you want to build your strategy - Add any lib you need to build your strategy You must keep: - the lib in the section "Do not remove these libs" - the prototype for the methods: minimal_roi, stoplo

This is a strategy template to get you started. More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md You can: :return: a Dataframe with all mandatory indicators for the strategies - Rename the class name (Do not forget to update class_name) - Add any methods you want to build your strategy - Add any lib you need to build your strategy You must keep: - the lib in the section "Do not remove these libs" - the prototype for the methods: minimal_roi, stoplo

This is a sample strategy to inspire you. More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md

This is a sample strategy to inspire you. More information in https://github.com/freqtrade/freqtrade/blob/develop/docs/bot-optimization.md

Strategy 002 author@: Gerald Lonlas github@: https://github.com/freqtrade/freqtrade-strategies How to use it? > python3 ./freqtrade/main.py -s Strategy002

author@: Gert Wohlgemuth converted from: https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/AdxMomentum.cs

author@: Gert Wohlgemuth converted from: https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/AdxMomentum.cs

author@: Gert Wohlgemuth converted from: https://github.com/sthewissen/Mynt/blob/master/src/Mynt.Core/Strategies/AdxMomentum.cs

author@: Gert Wohlgemuth

this strategy is based around the idea of generating a lot of potentatils buys and make tiny profits on each trade we recommend to have at least 60 parallel trades at any time to cover non avoidable losses

author@: Gert Wohlgemuth idea: this strategy is based on the book, 'The Simple Strategy' and can be found in detail here: https://www.amazon.com/Simple-Strategy-Powerful-Trading-Futures-ebook/dp/B00E66QPCG/ref=sr_1_1?ie=UTF8&qid=1525202675&sr=8-1&keywords=the+simple+strategy