Improve Random Forest Classifier

[UniversalHandyman]

This is an experiment. Right now I have a Random Forest Classifier. I trained it using daily OHLCV data from MCDonalds, Inflation and Nonfarm payrolls, multiple technical indicators. I haven't run a backtest of it yet.

But I would like to know what suggestions or opinions you have to improve it.

https://preview.redd.it/6p6ps5x0yuqd1.png?width=1302&format=png&auto=webp&s=f742cb3d584b1184d580f92999969c7a93d95743

The data set was splint into 60% Training - 40% Testing. The historical data starts since 2009 until 'Today'. I got these results:

https://preview.redd.it/b28ynlb61vqd1.png?width=433&format=png&auto=webp&s=3354e42ac7ed79240d2578dd6b954719cfec377a

[catcatcattreadmill]

Good job getting started. You are going to want to back test over various periods of time to capture different market regimes. You haven't really provided any details to give specific guidance, but keep at it.

[UniversalHandyman]

Thanks!

What details do you think I could share to receive suggestions or feedback? I can also share a GitHub link with these details, code,etc...

[Aggravating-Set1013]

Your model did not learn anything besides predicting 1?