Hello fellow Quantiacs,

I have built something pretty cool over at qntlab.app

Please have fun with it and lets me know what you would like improved or if there are bugs.

Please note the backtesting results and visuals are DEMO but the code generation is real. You must export & run the strategy in a quantiac environment to test against real data.

I am not affiliated with Quantiacs Q24 contest nor do I represent them in any way. I am just having fun with code and would like to share with this community.

If anyone would like to work on this with me please reach out to @Svyable on x or reddit etc.

Hello fellow Quantiacs,

I have built something pretty cool over at qntlab.app

Please have fun with it and lets me know what you would like improved or if there are bugs.

Please note the backtesting results and visuals are DEMO but the code generation is real. You must export & run the strategy in a quantiac environment to test against real data.

I am not affiliated with Quantiacs Q24 contest nor do I represent them in any way. I am just having fun with code and would like to share with this community.

If anyone would like to work on this with me please reach out to @Svyable on x or reddit etc.

Is there a way to submit a strategy via the API? Just like send you guys a .py file and a strategy name and comment? That would be awesome.

https://github.com/quantiacs/strategy-stateful_strategy_optimization/blob/master/strategy.ipynb

This tempalte lists a illiquid warning in the first round of checking, something I often see with similar Q22 attempts. How should we think about this warning when constructing strategies and backtesting.

How could this strategy be optimized to trade only liquid securities or otherwise address the warning.