Welcome to my overfitted corner of the internet where I explore math, build ML models, and analyze markets. Some predictions work, others teach me humility. I write about both here. Hope you enjoy :).
Lessons learned, theories explored, and mistakes documented.
Deep dive into implied volatility, smile curves, and how traders use vol surfaces for pricing.
How I learned that a 95% backtest accuracy means nothing when your model memorizes noise.
Breaking down the equations that make LSTMs effective for time-series prediction.
Building tools that blend quantitative analysis with modern tech. These projects push the boundaries of what's possible with data.
Machine learning model that generates personalized investment portfolios based on risk tolerance and market conditions.
High-performance options pricing system using Black-Scholes and Monte Carlo simulations.
NLP pipeline analyzing news and social media to predict market movements with 67% accuracy.