{"repo":"sleuthcapital/simple-back","free":true,"listed":false,"github":"https://github.com/sleuthcapital/simple-back","clone":"git clone https://github.com/sleuthcapital/simple-back.git","description":"A simple daily python backtester that works out of the box.","language":"Python","stars":60,"topics":["backtesting","matplotlib","jupyter-notebooks"],"license":"MPL-2.0","category":"trading","readme_excerpt":"📈📉  simple-back Documentation Request A Feature Installation Quickstart The following is a simple crossover strategy. For a full tutorial on how to build a strategy using simple-back , visit the quickstart tutorial Why another Python backtester? There are many backtesters out there, but this is the first one built for rapid prototyping in Jupyter Notebooks. Built for Jupyter Notebooks Get live feedback on your backtests (live plotting, progress and metrics) in your notebook to immediatly notice if something is off about your strategy. Sensible Defaults and Caching Many backtesters need a great deal of configuration and setup before they can be used. Not so this one. At it's core you only need one loop, as this backtester can be used like any iterator. A default provider for prices is included, and caches all its data on your disk to minimize the number of requests needed. Extensible This is intended to be a lean framework where, e.g. adding crypto data is as easy as extending the DailyPriceProvider class.","default_branch":null,"files":null,"tree":[],"storefront":"/r/sleuthcapital","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sleuthcapital/simple-back/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."}