Essays · Operations Intelligence, AI and Quant

Hossein Narimani — Writing

In-depth writing on quant system design, operational AI, SaaS architecture, custom AI agents and founder execution systems.

What Is Execution Architecture? Designing the Operational Layer of Intelligent Systems
Featured June 10, 2026 Operational Intelligence

What Is Execution Architecture? Designing the Operational Layer of Intelligent Systems

Most systems do not fail because of poor algorithms. They fail in the layer responsible for turning decisions into actions. The space between thinking and execution. That layer is called Execution Architecture.The Misunderstanding: Execution Architecture...

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What Skills Should You Invest In During Times of Crisis? Anti-Fragile Capabilities That Survive Economic and Technological Change
June 09, 2026 Operational Intelligence

What Skills Should You Invest In During Times of Crisis? Anti-Fragile Capabilities That Survive Economic and Technological Change

Crises rarely create new skills. They expose the true value of existing ones. A capability that works only in stable environments is not an asset....

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What Is Antifragility? Why Iran May Be the World’s Best Laboratory for Learning It
June 09, 2026 Operational Intelligence

What Is Antifragility? Why Iran May Be the World’s Best Laboratory for Learning It

Most businesses are damaged by volatility. Some survive it. A small number become stronger because of it.That distinction separates resilience...

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Can Artificial Intelligence Really Predict Markets? The Reality of AI in Trading and Investment Decisions
June 09, 2026 Founder Execution Systems

Can Artificial Intelligence Really Predict Markets? The Reality of AI in Trading and Investment Decisions

The short answer is yes—artificial intelligence can predict certain market behaviors. The longer and more useful answer is that markets are not...

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How Bad OHLCV Data Destroys Trading Strategies: A Practical Framework for Market Data Quality Assurance
June 08, 2026 Quant System Design

How Bad OHLCV Data Destroys Trading Strategies: A Practical Framework for Market Data Quality Assurance

Most trading strategy failures are blamed on poor signal design, weak indicators, overfitting, or flawed machine learning models. In practice, one...

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