{"repo":"raphant/lazyft","free":true,"listed":false,"github":"https://github.com/raphant/lazyft","clone":"git clone https://github.com/raphant/lazyft.git","description":"A convenient FreqTrade wrapper-library that makes it easy to develop algorithmic trading strategies.","language":"Python","stars":17,"topics":["finance","freqtrade","python","backtest","cryptocurrency","hyperopt","library"],"license":"AGPL-3.0","category":"blockchain-web3","readme_excerpt":"LazyFT This software is no longer being actively maintained LazyFT is a FreqTrade wrapper that I made to ease the development and testing of strategies. I think that many people in the FreqTrade community will appreciate some of the features that I've created. I hope this makes it easier for you to create and test your strategies. The features include, but are not limited to: - Automatic data downloading - LFT will always know when you need to download data for your pairs before hyperopting or backtesting, so no more worrying about that. - Backtest and Hyperopt Repository - LFT keeps track of every hyperopt and backtest you save so that allows you to: - View the overall performance of a strategies' backtest/hyperopt history - View the performance of a pair throughout all of your backtest/hyperopt history - Get the performance from all of your strategies from a specific date range. - Hyperopt IDs - LFT will automatically remove and add the appropriate parameters based on the IDs you pass to a backtest. No more manually deleting and re-adding parameter files. - Smart Space Handling - LFT supports creating custom spaces for strategies, and that extends what is possible with hyperopting. - Automated Hyperopting and Backtesting - With the ability of SpaceHandler you can automate the process of hyperopting and backtesting by automatically enabling and disabling custom spaces in a Strategy. - Strategy versioning - LFT will automatically save a copy of your strategy after a hyperopt ","default_branch":null,"files":null,"tree":[],"storefront":"/r/raphant","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/raphant/lazyft/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}