A deep dive into building TradeTracker, a native iOS trading co-pilot that processes live market data to provide adaptive risk controls and target recommendations. The system uses concurrent data collection, multi-horizon volatility analysis, and noise-filtering algorithms to deliver sub-100ms decisions with 92% accuracy. Key components include a Smart Target Engine that adjusts recommendations based on market context with explainable reasoning, and an Exit Tracker that filters outliers and manages trailing stops. The architecture emphasizes on-device processing for privacy, deterministic rule-based logic over ML for interpretability, and comprehensive audit logging. Performance metrics show 37% reduction in false stop-outs and improved risk-reward ratios from 0.64R to 0.91R across six months of testing.
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