📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.

Rep tho share codes and projects from the Artificial Intelligence for Trading Algorithms course @udacity.

📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)

A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.

📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)

Construction of PCA class from scratch and 3 implementations of PCA.

Advanced GAS price level indicator combining machine learning-inspired alpha factors with traditional technical analysis to identify high-probability trading opportunities through adaptive, correlation-weighted signals.