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.
How Automated Trading Reduces Emotional Trading Errors
How Automated Trading Reduces Emotional Trading ErrorsMost trading losses do not begin with bad analysis.They begin when a trader overrides a rule under pressure.Fear closes winners too early. Hope keeps losers open too long. Frustration turns one loss...
Read more →
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 →
Feedback Loop Systems for Fast Decision-Making in Startups: How Founders Execute with Real-Time Data
Most startups drown in data, not the absence of it. Dashboards packed with metrics, weekly reports, review meetings — and yet executive decisions...
Read more →
Quant Research vs Quant Trading: Signal Discovery vs Capital Execution in Quantitative Systems
Most people treat Quant Research and Quant Trading as different labels for the same profession. Operationally, they are two separate layers of the...
Read more →
What Is Edge in Quantitative Trading Systems? Calculation Methods, Practical Uses, and Common Failure Modes
Most traders believe edge is simply a high win rate. That assumption destroys more trading systems than market volatility.A strategy can win only...
Read more →