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Richard Shu

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Richard Shu

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Aug 29, 2025

I Was Paralyzed by Stock Market Uncertainty. So I Built My Own Quant Engine.

For years, I dove deep into stock analysis. I read the books, studied the charts, and learned the fundamentals. I thought this knowledge…

An equity curve chart from a successful backtest, showing outperformance against a buy-and-hold benchmark.

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CodeX

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Richard Shu

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Jun 26

Transformer Killers: State Space Models (Mamba/Jamba) Explained

If you’ve been following AI news lately, you’ve likely heard a lot of buzz about Mamba and Jamba. People are calling them “Transformer…

Transformer Killers: State Space Models (Mamba/Jamba) Explained

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Artificial Intelligence in Plain English

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Richard Shu

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May 20

How to Build Secure AI: Implementing Guardrails for Enterprise LLM

Why “Prompt Engineering” safety isn’t enough for production, and how to build a robust defense-in-depth architecture.

How to Build Secure AI: Implementing Guardrails for Enterprise LLM

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CodeX

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Richard Shu

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Apr 14

Experimental Strategy: The Coiling Spring — Exploiting the Calm Before the Storm in Mega-Cap Tech

In the world of quantitative finance, we often treat price action as a series of stochastic variables. But in the eyes of a behavioralist…

Experimental Strategy: The Coiling Spring — Exploiting the Calm Before the Storm in Mega-Cap Tech

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CodeX

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Richard Shu

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Feb 25

Knowledge Distillation Explained

In the world of modern AI, we are obsessed with “bigger is better.” We have models with hundreds of billions of parameters that can write…

Knowledge Distillation Explained

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CodeX

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Richard Shu

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Feb 17

Experimental Strategy: The Institutional Inertia Filter — A Daily Breakout System for SPY/QQQ

As quantitative researchers, our goal is not to predict the future, but to model the structural biases inherent in market mechanics. When…

The Institutional Inertia Filter

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CodeX

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Richard Shu

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Jan 13

Algo Trading Series, Part 6: The Litmus Test — If You Feed It Garbage, Does It Still Eat?

In Part 5, we optimized our “Structure + Liquidity” strategy. We relaxed the rules, added context, and saw our win rate and trade count…

Screenshot of Noise & Leakage Test Results within Quick Test

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CodeX

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Richard Shu

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Jan 9

Algo Trading Series, Part 5: The Optimization — From Theory to Production

In the previous article, we hit a wall.

Screenshot of Quick Test Trades for SPY (structure_liquidity)

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CodeX

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Richard Shu

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Jan 8

Algo Trading Series, Part 4: Codifying the Edge — When Textbooks Meet Reality

In the previous article, we explored the theory behind the “Structure + Liquidity” concept. It’s a classic discretionary trading setup…

Screenshot of The Quick Test Page in AlphaSuite Dashboard

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CodeX

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Richard Shu

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Jan 7

Algo Trading Series, Part 3: The Concept — Hunting for Liquidity

Why “Smart Money” hunts stops, and how to write Python code to find them.

Screenshot of The structure_liquidity Scanner in AlphaSuite Dashboard

Richard Shu

Richard Shu

Senior developer & AI practitioner (full-stack, 20+ years) , builder of aitransformer.net, videoplus.studio, AlphaSuite (https://github.com/rsandx/AlphaSuite)

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