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.
Can Quant Trading Strategies Be Trained From OHLCV Data Alone?
Most people asking "can you train a strategy on OHLCV data" are really asking something else: "can I train a model on past prices and make money on the future?" Short answer: technically yes, reliably no.Why This Question Actually MattersEvery day,...
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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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Hybrid Quant System Architecture: Integrating Risk Management, Position Sizing, and Execution in a Unified Framework
Most quant systems that fail in production don't have a signal problem. They have an architecture problem. Their signals work. Their backtests are...
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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...
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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...
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