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.
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 prediction problems in the traditional sense. They are adaptive, competitive, and probabilistic systems where...
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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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Why Fixed LLM Reasoning Levels Are Inefficient: Designing Adaptive Token Allocation Architectures for Next-Generation AI Systems
Most discussions around LLM reasoning modes focus on quality. High reasoning is assumed to be better. Low reasoning is assumed to be cheaper. The...
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Why Profitable Backtests Fail in Production: The Hidden Gap Between Backtesting and Reality
Every quantitative researcher eventually encounters the same paradox. A strategy looks exceptional in backtesting, produces attractive...
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Execution Architecture: Why Poor Execution Matters More Than a Weak Idea
Most founders overestimate the value of ideas and underestimate the value of execution systems.The uncomfortable reality is that weak execution...
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