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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Two-Level Decision System: Separating Signal from Noise in Contextual Data
Most decision systems share one structural flaw: they process every incoming data point with equal weight. The system has no concept of which...
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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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