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...
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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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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The Real Cost Equation of Quant Systems: A Component-Level Model
The Problem: Quant System Costs Are Always Higher Than the Spreadsheet ShowsMost teams calculate the cost of a quant system by adding up servers,...
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How Much Does It Cost to Build a Quant System? A Realistic Cost Model for Founders and Operators
Most pricing conversations about quant systems start in the wrong place. They treat strategy code, research, execution, and risk control as if...
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