fast-trade VS backtesting.py

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.

We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.

The process might vary a bit based on what you want to trade, but I've had some success with back-testing by using the IBKR API to download historical data for the stocks I want, then plugging in that data to some other back-testing framework, like https://kernc.github.io/backtesting.py/

https://kernc.github.io/backtesting.py/ offers nice way to zoom backtesting. It has some bugs, but good for visualization.

Are there any free trading platform options to import and backtest millisecond historical tick data? Do you use something like https://github.com/kernc/backtesting.py and then translate algorithms into mql4/5 or pinescript?

But even if you don't know that, you can Google the library to find its documentation and installation instructions - in this case, here where it does indeed tell you to run pip install backtesting.

Sure. My strategy is actually very simple using common indicators like MACD and RSI. Most of the code is actually based on https://github.com/kernc/backtesting.py and I use it to check whether I should buy or sell on a particular day. Hope this helps!

I'm leaning towards using the backtesting.py library, but from the example on their main page, it looks like you need to program your strategy using their library?