QuantResearch

Why we included this project

Its value is less as a turnkey trading system and more as a guided tour of the techniques that actually show up in quant work. The notebooks cover portfolio optimization, value-at-risk, several flavors of linear regression, pairs trading via cointegration and Kalman filters, hidden Markov chains, and RNN-based stock prediction, and every one links to a short blog post that explains what is going on. There is also a folder of machine-learning and deep-reinforcement-learning material, plus backtesting code and a video of a live trading demo, so you can see how an idea moves from notebook to executed strategy. This is study material, not a production platform; expect to adapt the code rather than run it as-is.