System Objectives

Scia implements a hierarchical multi-agent system where specialized AI agents operate in functional groups, processing and passing data through a coordinated pipeline:

Data Foundation Layer

The data foundation is established through three primary agents. JACK (Data Detective) initiates the process by collecting market data and detecting anomalies. This data feeds into SOPHIA (Quality Guardian), which validates inputs and maintains data integrity. MASON (History Keeper) archives validated data and tracks historical patterns, creating a reliable database for other agents.

Market Analysis Layer

Building on the validated data foundation, market analysis operates through multiple specialized agents. EMMA (Technical Wizard) analyzes market structures and identifies patterns, while NOAH (Sentiment Sage) processes social media and news sentiment. Their outputs are verified by ETHAN (Analysis Auditor), who validates accuracy and detects potential biases. OLIVIA (Prediction Maven) then combines these verified analyses to generate price predictions and trend forecasts.

Risk Management Layer

The risk management framework processes outputs from both data and analysis layers. LIAM (Risk Protector) assesses trading risks and optimizes position sizing based on verified market conditions and predictions. This agent implements protection strategies using both technical and sentiment analysis to provide comprehensive risk assessment.

System Coordination Layer

AVA (System Orchestrator) coordinates the entire agent network, managing data flow and system performance. This agent ensures efficient communication between layers and maintains system optimization. ZOE (Communications Expert) then transforms the coordinated outputs into trading signals and market alerts, making complex analyses accessible to users.

Data Flow Integration Each layer builds upon the outputs of previous layers:

1. Raw market data → Data Foundation Layer → Validated data streams

2. Validated data → Market Analysis Layer → Verified market insights

3. Market insights → Risk Management Layer → Protected trading strategies

4. Trading strategies → System Coordination Layer → Actionable signals

This layered architecture ensures that each agent's specialized capabilities contribute to a comprehensive market analysis system while maintaining data integrity and systematic validation throughout the process.