DOCS ARCHITECTURE System Overview

System Overview

Multi-agent autonomous trading system with adversarial validation, designed for survival over profit maximization.

Design Philosophy

Survival over profit maximization. Multi-agent adversarial validation. Hard risk limits at every layer. No single point of failure.

Agent Composition

9 specialized agents work in adversarial configuration to ensure robust decision-making with no single point of failure.

4

Analyst Agents

Data interpretation specialists

2

Researcher Agents

Deep analysis experts

3

Decision Agents

Trader, Risk Manager, Portfolio Manager

Decision Flow

1

Data Ingestion

400ms cycles from 9+ data sources

2

ML Regime Classification

Market state identification

3

Analyst Reports

4 specialized analyses generated

4

Adversarial Debate

Multi-round challenge/defense cycles

5

Trade Proposal

Trader agent identifies opportunity

6

Risk Assessment

Position sizing and limit checks

7

Final Approval

Portfolio Manager decision

8

Execution via Guardian

Final validation and blockchain execution

Summary Metrics

Component Value
Total Agents9
Data Sources9 categories
Update Frequency400ms - 60s
Decision Latency15-30 seconds
Integrated Protocols7
Strategies3
Max Concurrent Positions10 total
Risk Parameters30+ configurable