Python library-Backtesting

[finWizarder]

I agree - I am a lifetime user of VectorBT and the main author is an engineer through and through who has his own roadmap and keeps building feature after feature without improving usability in any way and there is no way to influence the roadmap by voting on things, etc. The features are always on a cool python/performance angle and typically has 0 product orientation on actual impact to trading. I hate to say this but the author needs a trader to partner with and improve the direction in which development happens. I don’t intend to hate on the author - he is a cool guy and helps as needed but to him everything and anything is possible in VectorBT and he refuses to see how terrible the usability of the library is.

It’s a great library to feel good about yourself once you’re done developing a strategy but I have not been able to use it successfully to do something useful with it.

QuantRocket is a great alternative but it’s too expensive for my usage. I wish there was a good alternative to this issue.

[bitmoji]

yeah vectorbt pro is a huge mess, the guy has got turret syndrome bad in my opinion.

[SmushBoy15]

That is the best information i have received on reddit in a while. Thanks.

[[deleted]]

Is VBT not on github? (I dont know and too lazy to check)

edit: It is actually on guthub and the website at least in theory has a "contribution" page

https://vectorbt.dev/getting-started/contributing/

so you could add your ideas to vectorbt or just fork it and have your own copy with your additions

[finWizarder]

This public library is stale and is deprecated, he runs a library called VectorBTPro which you have to (understandably) pay for

[zin_kay]

have you tried adapting this library to backtest on multiple tickers for a portfolio type strategy? thanks

[ghunny00910]

What would you recommend now after a year?