fast-trade VS ta

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.

If you know python, you’ll be able to see for yourself. Bukosabino took the time to make dozens of indicators easy to calculate from historical data. Try and find any predictive power from any of these on any remotely liquid ticker

Use the technical analysis python library to compute the technical indicators for that SPX data

The documentation can be found here: https://technical-analysis-library-in-python.readthedocs.io/en/latest/

I also use python binance but with bubosabino‘s ta library: https://github.com/bukosabino/ta

There's a Python Technical Analysis module located here: https://github.com/bukosabino/ta

If you are using python, check out https://github.com/bukosabino/ta

I'd recommend you to use TA. I used it to generate lany indicators in the past months. No issues to mention, and it's documentation is rich and kept updated. Repo: https://github.com/bukosabino/ta

I use https://technical-analysis-library-in-python.readthedocs.io/en/latest/ for my proprietary bot.

Python with a library that gives you tons of indicators to test (personally, I use this one: https://github.com/bukosabino/ta). Pandas is used but just to set the data, nothing fancy. I don't use Jupyter, I go with the simple IDLE that comes with Python installation but this point doesn't really matter, just go with the most comfortable for you. In the end, this is what I get after a backtest: https://i.ibb.co/pjbZvhv/backtest-sample.png

I'm using this one - https://github.com/bukosabino/ta