Deep Order Book Modeling: High-Frequency Limit Order Book (LOB) Simulation & Microstructure Alpha Using Temporal Convolutional Networks
A comprehensive mathematical and computational framework for capturing high-frequency order flow imbalances and predicting micro-price …
State Space Models & Mamba in Quantitative Finance: Replacing Transformers for Ultra-Long Horizon Volatility & Regime Forecasting
Why Selective State Space Models (Mamba/S4) break the quadratic attention barrier of Transformers for long-range financial regime …
Mathematical Optimization of Multi-Asset Portfolios: From Convex Quadratic Programming to Hierarchical Risk Parity
Overcoming covariance matrix estimation instabilities in Markowitz Mean-Variance optimization using Hierarchical Risk Parity (HRP) and …
Architecting High-Performance Transformers from Scratch: Rotary Embeddings (RoPE), FlashAttention-2, and KV-Cache Optimization
A comprehensive systems and algorithmic deep dive into building production-grade LLM inference engines in PyTorch and C++.
Handling Missing Data in Time Series
Techniques for imputing missing financial data without lookahead bias.
Building a Production-Ready REST API with Node.js and Express
A comprehensive guide to building scalable, secure REST APIs with proper error handling, validation, and documentation
React Performance Optimization: A Practical Guide
Learn how to identify and fix performance bottlenecks in React applications with real-world examples and profiling techniques
Docker Deployment Guide: From Development to Production
Learn how to containerize your applications with Docker, optimize images, and deploy to production with best practices