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.
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 wrong question: "Which architecture gives the highest accuracy?" That question is a trap.The right question...
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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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Types of Business Architecture: A Practical Guide to Choosing the Right Structure for Scale
Most companies do not have a growth problem. They have a structural clarity problem.When the structure is vague, every new hire, workflow, product...
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How Far Can Business Modernization Go? Why Traditional Businesses Need Intelligence Systems to Stay Competitive
Most businesses do not stop growing because demand disappears.They stop because operational complexity grows faster than decision quality.How Far...
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