QuantAgent was developed to solve the "Black Box" problem in autonomous finance. While most trading bots offer zero visibility into their logic, QuantAgent utilizes a strictly modular 3-Role System to ensure every trade is deterministic and auditable. 1. Signal Pipeline: Processes raw market data, fusing RSI, MACD, and ADX indicators while identifying market regimes (Trending vs. Ranging) to adjust strategy sensitivity. 2. Strategy Engine: A mathematical core that calculates confidence scores and scales position sizes. It features a custom Momentum Filter that prevents "buy" signals during macro downtrends, protecting capital in volatile shifts. 3. Execution Agent: A robust paper-trading environment with 8-point pre-trade validation, automated circuit breakers, and a system-wide "Reset" for rapid iteration. The project includes a real-time dashboard with a Trust Panel that exposes the agent’s inner thoughts, confidence levels, and risk checks. Designed with ERC-8004 identity in mind, QuantAgent bridges the gap between complex AI logic and on-chain accountability.
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