Essays · Operations Intelligence, AI and Quant
Hossein Narimani — Writing
In-depth writing on quant system design, operational AI, SaaS architecture, data, forecasting and founder execution systems.
Quant Research vs Quant Trading: Signal Discovery vs Capital Execution in Quantitative Systems
Most people treat Quant Research and Quant Trading as different labels for the same profession. Operationally, they are two separate layers of the same return-generation system. One discovers statistical edge. The other converts that edge into deployable...
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What Is Edge in Quantitative Trading Systems? Calculation Methods, Practical Uses, and Common Failure Modes
Most traders believe edge is simply a high win rate. That assumption destroys more trading systems than market volatility.A strategy can win only...
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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
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
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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