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...
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What Is Quant System Design? Architecture, Components, and How It Differs from a Trading Bot
Most trading bots do not fail because their code is poor. They fail because there is no system behind them.A buy-or-sell signal is not a quant...
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OHLCV Data Quality Checks: What to Validate Before Backtesting or Trading
Most backtests do not fail because of the model. They fail because of the data.If your OHLCV feed is incomplete, inconsistent, or retrospectively...
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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 →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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