RSI

This tutorial covers the five core steps of AI quantitative trading from scratch: data collection & cleaning, strategy design, backtesting, out-of-sample (OOS) validation, and deployment & monitoring. It explains three key advantages of AI over manual trading - emotional stability, processing speed, and consistency - and shares key techniques to avoid the backtest-to-live trading gap.

From an RSI idea to real money trading—where does AI actually speed things up, and where is it completely useless? Sharing our 5-line framework’s actual development journey and psychological hurdles.

Judy AI Lab releases their internal crypto screening engine CoinSifter as open source. Supports 6 technical indicators, multi-timeframe scanning, Web UI and Telegram push notifications. This article explains the reasons for open sourcing, core features, architecture design, and a 5-minute quick start guide.