The Problem
Most retail trading tools are either fully manual or fully automated black boxes. The challenge: harness AI-driven pattern recognition while maintaining absolute human control over capital deployment.
The Architecture
TypeScript-native trading infrastructure: real-time market data feeds, AI-driven signal generation with conviction scoring (0–100), reasoning chains, and risk parameters. Fast where speed matters, slow where caution matters.
Human-in-the-Loop
AI suggests, human decides. Every trade signal arrives at a human approval gate with signal, reasoning, risk parameters, and portfolio impact. No capital moves without explicit confirmation. The AI handles data processing; the human handles judgment.
The Result
A trading infrastructure that combines AI speed with human judgment. Paper trading validation before live capital. Position sizing, exposure limits, and drawdown controls baked into the architecture.
