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ECO_SYSTEM_4 - 6-stage autonomous trading pipeline. Research → Signal → Consensus → Approval → Execute → Learn. 4,878 Python files.

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SKILL.md

name eco-system
description ECO_SYSTEM_4 - 6-stage autonomous trading pipeline. Research → Signal → Consensus → Approval → Execute → Learn. 4,878 Python files.

ECO_SYSTEM_4 - Autonomous Trading Pipeline

Location: /Volumes/LegacySafe/SS_III/ECO_SYSTEM_4/

What It Does

Complete autonomous trading ecosystem that runs every 15 minutes:

  1. Research - Market scanning and data collection
  2. Signal - Generate trading signals from data
  3. Consensus - Multi-agent agreement on signals
  4. Approval - Human-in-loop or auto-approval
  5. Execute - Paper or live trading execution
  6. Learn - Analyze results and improve

Key Components

  • Risk Agent - Pre-trade risk validation
  • Swarm Agent - Multi-AI consensus
  • Approval Agent - Decision gateway
  • Paper Trader - Execution engine
  • Session Closer - Post-trade analysis

How to Use

# Run the full pipeline
cd /Volumes/LegacySafe/SS_III/ECO_SYSTEM_4
python main.py

# Check configuration
cat .env

Entry Points

  • main.py - Primary entry point for full pipeline
  • agents/research/ - Market research modules
  • agents/execution/paper_trader.py - Trade execution

Status

  • Files: 4,878 Python files
  • Credentials: ECO_SYSTEM_4/.env
  • Mode: Paper trading