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.
OHLCV Feature Pipeline Architecture: Designing Feature Registries and Caches for Scalable Trading Systems
Most trading systems do not fail because of the model. They fail because every component interprets market data differently.When a feature has one value in a backtest and another in live trading, the problem is not intelligence. It is architecture.The Real...
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OHLCV Pump Pattern Analysis: Detection, Limits, and Alert System Design
OHLCV Pump Pattern Analysis: Detection, Limits, and Alert System DesignThe hard problem is not finding a green candle.The hard problem is...
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What Is Quant System Design? Architecture, Components, and How It Differs from a Trading Bot
Most trading bots do not fail because their code is poor. They fail because there is no system behind them.A buy-or-sell signal is not a quant...
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Why Your Data Pipeline Fails in Production: Architecture Mistakes in Stateful Processing and Late-Arriving Data
Most data pipelines that fail in production don't have a technology problem. They have an architecture problem — built for an ideal world that...
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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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