Exploring Markets Through Code and AI

A personal blog on algorithmic trading, quantitative research, and the code that powers it all, generated by Gen AI — from live strategy execution to statistical deep dives.

AlgoTrading Research Coding AI Infrastructure
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About QuantWonny

Welcome to QuantWonny — a personal blog dedicated to the world of quantitative finance. Here I document my journey through algorithmic trading, statistical research, and the code that brings strategies to life.

Whether you're a seasoned quant or just getting started, I hope you'll find something useful. Topics range from hands-on MATLAB and Python implementations to deeper explorations of market microstructure and strategy design.

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AlgoTrading Live strategy implementation, execution, and automation
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Research Statistical analysis, backtesting, and market studies
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Coding MATLAB, Python, C++ tools and financial APIs
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AI Machine learning, LLMs, and AI-driven trading systems
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Infrastructure Brokers, data pipelines, cloud deployment, and system design

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Book Recommendations

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AFML
Advances in Financial Machine Learning Marcos López de Prado

The go-to reference for applying ML to financial data — feature engineering, backtesting pitfalls, and portfolio construction.

AT
Algorithmic Trading Ernest P. Chan

A practical guide to building and testing mean-reversion and momentum strategies, written by a practitioner.

MSM
The Man Who Solved the Market Gregory Zuckerman

The fascinating story of Jim Simons and Renaissance Technologies — how math and data conquered Wall Street.

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