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 …
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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 …
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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 …
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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++.
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Handling Missing Data in Financial Time Series: Preventing Lookahead Bias
Rigorous techniques for imputing missing financial data without introducing lookahead bias or distorting variance estimates.
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