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.
Case Study: Designing an Agentic Coaching System for Iranians Living Abroad
The real problem for Iranians living abroad is not a lack of information. It is turning fragmented information into an executable decision in an unfamiliar system.They face questions about residency, work, tax, housing, language, healthcare, community, and...
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What Makes an Automated Trading Strategy Good? Real Criteria Beyond a Beautiful Backtest
Most strategies that look excellent in a backtest were never designed to survive production.A trading bot is not good because its equity curve...
Read more →Common Mistakes in Market Regime Detection: Why Moving Average Crossovers Fail
Why Most Market Regime Detection Systems Fail in PracticeA quant team I worked with had built a Market Regime Detection system on a Moving Average...
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Can Quant Trading Strategies Be Trained From OHLCV Data Alone?
Most people asking "can you train a strategy on OHLCV data" are really asking something else: "can I train a model on past prices and make money...
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Deep Learning Prediction Models for Stock OHLCV Data: A System Design Framework
The Real Problem: Why Deep Learning on OHLCV Data Usually DisappointsMost teams building deep learning models for stock prediction start with the...
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