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 Feature Pipeline Architecture: Designing Feature Registries and Caches for Scalable Trading Systems
Most trading systems do not fail because of the model. They fail because every component interprets market data differently.When a feature has one value in a backtest and another in live trading, the problem is not intelligence. It is architecture.The Real...
Read more →
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...
Read more →