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GOOSE Intelligent Trading System

Production-Ready Automated Prediction Market Intelligence

5-Agent Architecture Live Market Integration Multi-Layer Safety
Production Ready
Capital Tracking
API Execution
AI Integration

System Overview

GOOSE is a production-ready prediction market trading bot that combines multi-agent intelligence with API-based execution for automated trading on prediction market platforms. The system features real-time portfolio management, dynamic capital tracking, and comprehensive safety controls to ensure reliable, risk-managed trading operations.

5 Specialized Agents

Market Analyst, News Sentinel, Risk Manager, Execution Agent, and Coordinator working in harmony for intelligent decision-making

Live Market Data

Real-time prediction market opportunities with sophisticated expected value calculations and market filtering

API Execution

Direct CLOB integration for live trading with automated order placement and management on prediction market platforms

Portfolio Management

Real-time position tracking with automated exit strategies including time-based, profit-taking, and stop-loss mechanisms

Capital Tracking

Dynamic bankroll monitoring with real-time allocation tracking and risk management across all active positions

Comprehensive Safety

DRY_RUN mode, manual confirmation, spending limits, position exposure monitoring, and complete audit trails

Quick Start

Run the system
python main.py

Five-Agent Intelligence Architecture

1

Market Analyst

Identifies trading opportunities by analyzing market data and calculating expected value using sophisticated probability models and Kelly Criterion position sizing.

2

News Sentinel

Integrates real-time news sentiment analysis to provide context-aware intelligence, helping identify market-moving information and potential catalysts.

3

Risk Manager

Ensures safety compliance through comprehensive validation checks, spending limits, capital allocation monitoring, and position exposure controls.

4

Execution Agent

Plans and executes trades via direct API execution, managing order placement, position tracking, and settlement monitoring through CLOB integration.

5

Coordinator

Orchestrates collaboration between all agents using decision thresholds (58/65/30 matrix) to ensure consensus-driven, intelligent trading decisions.

The five agents work together in a coordinated system:

  • Market Analyst analyzes opportunities
  • News Sentinel provides context
  • Risk Manager validates safety
  • Execution Agent handles trades
  • Coordinator orchestrates decisions

Technical Stack & Architecture

Production-grade technology foundation built for reliability, performance, and scalability

Core System

  • Python 3.10+
  • main.py orchestration
  • config.py management

AI Integration

  • OpenRouter API
  • OpenAI Compatible
  • Multi-model support

API Execution

  • Direct CLOB integration
  • Multi-platform support
  • Real-time order management

Data Storage

  • SQLite database
  • 12 performance indexes
  • Migration system

Portfolio Management

  • Real-time tracking
  • Exit strategies
  • P&L monitoring

Capital Tracking

  • Allocation monitoring
  • Risk management
  • Dynamic bankroll tracking

Monitoring

  • Streamlit dashboard
  • Metrics tracking
  • Performance analytics

Testing

  • Comprehensive test coverage
  • Integration coverage
  • Critical path validation

Settlement & Reconciliation

  • Automated resolution detection
  • Database synchronization
  • Performance metrics

Hybrid Architecture

GOOSE features a hybrid architecture combining the modern agents/ system (Market Analyst, News Sentinel, Risk Manager, Execution Agent, Coordinator) with legacy integration components. The new agent-based system handles all core trading intelligence and execution, while maintaining compatibility with existing infrastructure for seamless deployment and operation.

System Data Flow

Complete execution pipeline from market discovery to settlement and reconciliation

1

Configuration Validation

System validates all configuration settings, API keys, and safety parameters before execution begins.

2

Market Discovery

Fetches live prediction market data via API, filtering opportunities based on liquidity, volume, and market criteria.

3

Multi-Agent Analysis

Five specialized agents collaborate to analyze opportunities, integrate news sentiment, and assess risk factors.

4

Decision Matrix

Coordinator evaluates agent consensus using 58/65/30 thresholds to determine if trade meets quality standards.

5

Capital Allocation Check NEW

Validates available capital, checks allocation limits, and ensures position sizing complies with risk management rules.

6

API Trade Execution UPDATED

Executes trades via direct CLOB API integration with automated order placement and confirmation tracking.

7

Portfolio Position Monitoring NEW

Continuously scans active positions, tracks P&L, and executes exit strategies based on time, profit, or stop-loss triggers.

8

Settlement Detection NEW

Monitors markets for resolution events and automatically processes settlements when positions close.

9

Database Logging & Reconciliation UPDATED

Records all activities with complete audit trail and synchronizes database state with live market data for accurate P&L tracking.

Setup & Discovery
Analysis & Intelligence
Decision & Validation
Execution & Monitoring
Logging & Reconciliation

Risk Management & Safety Controls

Production-grade safety controls and comprehensive risk management for secure trading operations

Safety Features

DRY_RUN Mode

Default enabled simulation mode that allows full system testing without executing real trades or spending capital.

Manual Confirmation

Approval gate requiring explicit user confirmation before any trade execution, providing human oversight for all trading decisions.

Decision Thresholds

58/65/30 consensus matrix ensures only high-quality opportunities pass multi-agent validation before execution.

Spending Limits

Configurable DAILY_LIMIT and TRADE_MAX_PERCENT parameters enforce strict capital controls and prevent excessive exposure.

Capital Allocation Limits NEW

Real-time tracking of allocated capital across all positions with automatic enforcement of maximum allocation thresholds.

Position Exposure Monitoring NEW

Continuous monitoring of position exposure with alerts and automatic controls to prevent concentration risk.

Complete Audit Trail

Comprehensive logging of all system activities, decisions, and trades with full traceability for compliance and analysis.

Comprehensive Testing

Tests covering critical paths, integration scenarios, and edge cases to ensure system reliability and correctness.

Safety Categories

Emergency Controls

Critical safety mechanisms that prevent unintended trading activity and provide immediate system shutdown capabilities.

  • DRY_RUN mode (default enabled)
  • Manual confirmation gates
  • Emergency stop functionality

Risk Assessment

Multi-layered risk evaluation and validation to ensure all trades meet quality and safety standards.

  • 58/65/30 decision thresholds
  • Capital allocation limits
  • Position exposure controls
  • Spending limit enforcement

Monitoring & Logging

Comprehensive observability and audit trail for complete transparency and accountability.

  • Complete audit trail
  • Real-time position tracking
  • P&L monitoring
  • Database reconciliation

Verification & Testing

Rigorous testing and validation to ensure system reliability and correctness across all scenarios.

  • Comprehensive test coverage
  • Integration test coverage
  • Critical path validation
  • Edge case handling

Performance & Monitoring

Real-time observability and performance metrics for production-grade trading operations

Performance Features

Real-Time Monitoring

Streamlit dashboard providing live system metrics, trade history, and performance analytics for operational visibility.

Real-time Position Tracking NEW

Continuous monitoring of all active positions with live price updates, P&L calculations, and exit strategy evaluation.

Automated Settlement Processing NEW

Automatic detection and processing of market resolutions with settlement reconciliation and P&L finalization.

Scalable Architecture

Modular design supporting multiple markets, concurrent operations, and extensible agent framework for future enhancements.

System Metrics

Capital Allocation
Real-time Tracking
P&L Tracking
Live Updates

Monitoring Capabilities

Run History

Complete execution history with timestamps, decisions, and outcomes for audit and analysis.

Active
Token Usage

AI model token consumption tracking with cost optimization and usage analytics.

Optimized
Capital Allocation NEW

Real-time bankroll monitoring with allocation tracking across all active positions and risk exposure.

Live Tracking
P&L Tracking NEW

Comprehensive profit and loss tracking with position-level and portfolio-level performance metrics.

Real-time

Implementation & Deployment

Get started with GOOSE in minutes with our comprehensive setup guide and production-ready configuration

Environment Setup

Configure your development environment with required dependencies and API credentials.

  • Python 3.10+ installation
  • OpenRouter API key setup
  • Prediction market API credentials
  • Environment variables configuration

Wallet Funding

Fund your trading wallet for live market operations with proper capital allocation.

  • Create prediction market account
  • Fund wallet with initial capital
  • Configure spending limits
  • Test with DRY_RUN mode first

Database Migration

Initialize the database with performance indexes for optimal query execution.

  • Run database initialization script
  • Apply database optimizations
  • Verify schema integrity
  • Test query performance

Documentation

Comprehensive guides and references for deployment and operation.

  • Deployment guide
  • API reference documentation
  • Configuration examples
  • Troubleshooting guide

Quick Start

# Create virtual environment python -m venv venv # Activate virtual environment source venv/bin/activate # Linux/Mac # or venv\Scripts\activate # Windows # Install dependencies pip install -r requirements.txt # Run the system python main.py

Start with DRY_RUN mode enabled to test the system without executing real trades.

Safety Configuration

# .env settings # Safety Controls DRY_RUN=true MANUAL_CONFIRMATION=true # Spending Limits DAILY_LIMIT=3,000,000.00 TRADE_MAX_PERCENT=5.0 # Capital Management MAX_ALLOCATION_PERCENT=80.0 MIN_RESERVE_PERCENT=20.0

Configure safety parameters to match your risk tolerance and trading strategy.

Ready to Transform Your Trading Strategy?

Production-ready system with comprehensive safety controls

Production Ready Fully Documented Comprehensive Testing
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