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.
OHLCV Pump Pattern Analysis: Detection, Limits, and Alert System Design
OHLCV Pump Pattern Analysis: Detection, Limits, and Alert System DesignThe hard problem is not finding a green candle.The hard problem is separating ordinary market movement from structurally abnormal demand. Most weak systems confuse the two, then produce...
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...
Read more →
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...
Read more →
Can Artificial Intelligence Really Predict Markets? The Reality of AI in Trading and Investment Decisions
The short answer is yes—artificial intelligence can predict certain market behaviors. The longer and more useful answer is that markets are not...
Read more →
Why Profitable Backtests Fail in Production: The Hidden Gap Between Backtesting and Reality
Every quantitative researcher eventually encounters the same paradox. A strategy looks exceptional in backtesting, produces attractive...
Read more →