Its difference from Didact is that this intelligent trading bot is focused on trade signal generation with higher frequency of evaluation. It is more suitable for cryptocurrencies but also works for traditional stocks with daily frequencies so it could be adapted for stock picking. What I find interesting in your work is the general design of such kind of ML systems relying on feature engineering.
I also developed an ML-powered service heavily relying on feature engineering
https://github.com/asavinov/intelligent-trading-bot Intelligent Trading Bot
Its difference from Didact is that this intelligent trading bot is focused on trade signal generation with higher frequency of evaluation. It is more suitable for cryptocurrencies but also works for traditional stocks with daily frequencies so it could be adapted for stock picking. What I find interesting in your work is the general design of such kind of ML systems relying on feature engineering.