fast-trade VS quantstats

I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.

Hey OP, I do something similar for a project I'm working on here: https://github.com/jrmeier/fast-trade/blob/b09500c8454ea748b3f0d7ff960eb2bea79ad7a8/fast_trade/run_backtest.py#L103 and https://github.com/jrmeier/fast-trade/blob/b09500c8454ea748b3f0d7ff960eb2bea79ad7a8/fast_trade/run_backtest.py#L126

I wrote fast-trade to answer exactly questions like this

For ohlcv data,I wrote fast-trade with a data downloader. Basically it pulls 1 minute Kline data from Binance. It’s pretty easy to keep up to date. It works well for managing a local cache for backtesting.

Hey! Yup, here you go: https://fasttrade.dev. Here's the script I use to do it: https://github.com/jrmeier/fast-trade/blob/master/fast_trade/update_symbol_data.py. I also have a discord with some people that are also doing trading stuff (I’m also building a platform around this stuff). Let me know if you would like an invite!

I’m working on something that attempts to do what you describe make it easy to signup and implemented a pre-made algo. It’s based on the library I wrote fast-trade. I’m a few weeks away from opening up a beta, but feel free to DM me if you want to check it out.

You can start with fast-trade if you’d like. It’s a pretty simple backtesting engine but you can modify it however you’d like. Full disclosure I made it but I was trying to figure out how to get started as well and this is what I ended up with. Good luck!

I wrote fast-trade to do exactly that. Funny enough I wrote it for Binance but it works with any Kline data.

I wrote fast-trade, you can use it from the command line or a script. Strategies are in JSON, so it’s easy to iterate.

IMO can’t do better than QuantStats https://github.com/ranaroussi/quantstats

https://github.com/ranaroussi/quantstats Many technical metrics for detailed performance

I have a bot that does 100x in 3 years. But it is only 60 % accurate. You don't need high accuracy. In the end what counts is cumulative returns when you include trading costs (even if zero fees you still have slippage). Sharpe, Sortino, daily returns, drawdowns you have to look at all these measures. Use this and it does a pretty in depth report of your trading strategy. https://github.com/ranaroussi/quantstats

Quantstats for generating backtest reports: https://github.com/ranaroussi/quantstats

quantstats to analyze the performance of strategies