PulseForge is a production-ready multi-agent AI trading intelligence system built on Complete.dev. Instead of relying on a single black-box model, PulseForge operates as a coordinated network of specialized agents responsible for data ingestion, structured memory indexing, signal generation, deterministic trade simulation, and reward-based validation. The system continuously fetches market data, news, and public signals, stores them in a Supabase-backed memory layer, and generates regime-aware trading signals with structured explanations. Each simulated trade is executed using deterministic risk logic (stop-loss, take-profit, slippage, and fees), then scored by a validator agent using accuracy, risk efficiency, drawdown control, and confidence calibration. These validation rewards are fed back into adaptive policy weights, allowing the system to evolve strategy selection across different market regimes (trend, range, volatility). A single Manager endpoint orchestrates the full intelligence loop: Fetch → Store → Signal → Execute → Validate. PulseForge demonstrates how collaborative AI agents can form a self-evaluating, adaptive decision engine — transforming trading signals into structured, improving intelligence.
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