AI Quantitative Trading for Beginners: Building Your First Smart Trading System from Scratch

A step-by-step guide to AI quantitative trading covering five core building processes: data collection & cleaning, strategy design, backtesting, out-of-sample validation (OOS), and deployment & monitoring. Explains three key advantages of AI over manual trading - emotional stability, processing speed, and consistency - and shares essential techniques to bridge the gap between backtesting and live performance.

2026-04-13 · 8 min · 1587 words · Judy

From Trading Idea to Live Execution: What AI-Assisted Strategy Development Actually Looks Like

From a raw RSI idea to real-money live trading — where AI genuinely accelerated our workflow, and where it hit a wall completely. A look at the real development process and mental hurdles behind our 5-line architecture.

2026-04-11 · 6 min · 1125 words · Judy
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