[Synthetic] Created A 3-million Instance Dataset To Equip ML Models To Trade Better In Blackswan Events.

So I recently wrapped up a project where I trained an RL model to backtest on 3 years of synthetic stock data, and it generated 45% returns overall in real-market backtesting.

I decided to push it a lil further and include black swan events. Now the dataset I used is too big for Kaggle, but the second dataset is available here.

I’m working on a smaller version of the model to bring it soon, but looking for some feedback here about the dataset construction.