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.
Feedback Loop Systems for Fast Decision-Making in Startups: How Founders Execute with Real-Time Data
Most startups drown in data, not the absence of it. Dashboards packed with metrics, weekly reports, review meetings — and yet executive decisions still run on gut feel and personal experience. That's the core problem: data without structure isn't signal....
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Look-Ahead Bias in Backtesting: How Future Data Silently Contaminates Your Strategy Test
If your strategy backtest is showing brilliant results, there's a good chance something is wrong. Not because the strategy is bad — but because...
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Building a Market Regime Detection System with Hidden Markov Models and Bayesian Filtering
Most trading strategies are designed with one implicit assumption: market behavior is static. A model gets optimized on historical data,...
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Why Generative AI Agents Fail in Real Operational Systems: Architecture, Latency, and Cost Constraints
Most AI Agent projects work well in the demo stage. The problems start when you move them into a real system. Latency climbs. Costs spiral out of...
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Hybrid Quant System Architecture: Integrating Risk Management, Position Sizing, and Execution in a Unified Framework
Most quant systems that fail in production don't have a signal problem. They have an architecture problem. Their signals work. Their backtests are...
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