Technical Architecture

The mid-stage system adopts a modular multi-agent architecture coordinated by a central Orchestrator Agent.

Orchestrator Module

Orchestrator Agent:

• Coordinates all AI agents

• Routes tasks and merges signals

• Ensures coherent end-to-end processing

• Supports plug-and-play integration of new agent modules

Data Ingestion & Processing Module

Includes the following agents:

• Social-Media Processing Agent

• News Processing Agent

• Historical Market Data Agent

• Smart-Money Analysis Agent

These agents collect raw data from:

• Twitter/X

• News sources (e.g., Bloomberg)

• Market APIs

• Smart-money flows

Preprocessing Module

Responsible for:

• Aggregating multi-source data

• Cleaning and normalizing features

• Temporally aligning inputs

• Producing a unified, model-ready representation

Prediction Model Module

• Uses time-series and probabilistic models (e.g., LSTM-style or Transformer-based architectures) selected based on data availability and task requirements.

• Generates probability forecasts and risk-neutral fair-value estimates

• Operates on the unified feature space

Strategy & Interpretation Module

Includes:

• Quantitative Strategy Agent

• Market Sentiment Agent

• Output Synthesis Agent

This module converts model outputs into interpretable, strategy-ready insights.

Safety & Governance Module

Safety & Governance Agent:

• Enforces system rules

• Applies safety constraints

• Ensures compliant behavior across agents and decision flows

Monitoring & Deployment Module

• Tracks system performance

• Manages periodic retraining

• Exposes system outputs via APIs for integration and automation