Quant Analyzer

The Quant Analyzer formulates strategy-driven trading and investment decisions by integrating live market data, predictive modeling, and risk-aware reasoning.

It consists of a distributed network of specialized agents, each responsible for evaluating a specific class of indicators:

• Technical Indicator Agents – Analyze market data (e.g., OHLCV) using classical indicators such as Exponential Moving Average (EMA), Bollinger Bands, Relative Strength Index (RSI), MACD, and others. These agents detect patterns, trend reversals, and volatility shifts in real time.

• Contextual Signal Agents – Leverage non-technical signals derived from the Information Synthesizer, including macroeconomic news, regulatory updates, social media sentiment, and protocol-specific events. These agents translate unstructured external information into quantifiable market signals.

Each agent operates independently, generating localized strategy recommendations based on its domain. These recommendations are then forwarded to the Decision Manager Agent, which performs:

• Signal Aggregation – Synthesizes insights from all contributing agents.

• Conflict Resolution – Weighs conflicting signals based on confidence scores, historical reliability, and risk parameters.

• Final Execution Decision – Produces an actionable strategy, which may include executing trades, rebalancing positions, or deferring action under high uncertainty.

This ensemble-style architecture ensures robustness, adaptability, and responsiveness to both technical patterns and external market dynamics, enabling autonomous and context-aware trading operations.