GitHub - advaricorp/Polymarketbot: Polybot is an auto trader for Polymarket

push # 🚀 Polymarket Trading Bot

Advanced AI-Powered Trading Bot for Polymarket Prediction Markets

English | Español | Français

🌍 Multi-Language Support

English - Complete documentation
Español - Documentación completa
Français - Documentation complète

🇺🇸 English

🎯 Business Overview

Polymarket Trading Bot is a cutting-edge, enterprise-grade automated trading solution designed for Polymarket's prediction markets. Built with institutional-grade architecture, this bot leverages advanced AI/ML algorithms to provide sophisticated market analysis, risk management, and automated execution capabilities.

🏢 Target Market

Institutional Traders: Hedge funds, trading firms, and professional investors
Retail Traders: Individual traders seeking automated solutions
Market Makers: Liquidity providers and arbitrage traders
Research Institutions: Academic and commercial research organizations

💼 Business Value Proposition

Automated Trading: 24/7 market monitoring and execution
AI-Powered Analysis: Advanced sentiment and technical analysis
Risk Management: Sophisticated position sizing and portfolio protection
Scalability: Microservices architecture for enterprise deployment
Compliance: Built-in regulatory compliance and audit trails

📊 Market Opportunity

Prediction Markets Growth: Expanding global prediction market ecosystem
DeFi Adoption: Increasing institutional interest in decentralized finance
AI Integration: Growing demand for AI-powered trading solutions
Regulatory Clarity: Improving regulatory framework for crypto trading

🏗️ Technical Architecture

System Overview

The bot implements a microservices architecture with event-driven design, ensuring high availability, scalability, and maintainability.

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend UI  │    │   Mobile App   │    │   API Gateway   │
└─────────────────┘    └─────────────────┘    └─────────────────┘
                                │
                                ▼
┌─────────────────────────────────────────────────────────────────┐
│                        API Gateway                             │
│  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│  │   Auth     │ │   Rate     │ │   Load     │ │   Caching   │ │
│  │  Service   │ │  Limiting  │ │ Balancing  │ │   Layer     │ │
│  └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
                                │
                                ▼
┌─────────────────────────────────────────────────────────────────┐
│                    Core Trading Services                        │
│  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│  │   Data     │ │   Market    │ │   Decision  │ │   Order     │ │
│  │ Ingestion  │ │  Analysis   │ │   Logic     │ │ Execution   │ │
│  └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘
                                │
                                ▼
┌─────────────────────────────────────────────────────────────────┐
│                    Infrastructure Layer                         │
│  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│  │ PostgreSQL │ │    Redis    │ │  ChromaDB   │ │   Logging   │ │
│  │  Database  │ │   Cache     │ │ Vector DB   │ │  & Metrics  │ │
│  └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────────┘

Core Services

1. Data Ingestion Service (`services/ingest/`)

WebSocket Integration: Real-time market data from Polymarket
News API Integration: External news and sentiment data
Data Validation: Schema validation and data quality checks
Rate Limiting: Intelligent rate limiting and backoff strategies

2. Market Analysis Service (`services/analysis/`)

Technical Analysis: Advanced chart patterns and indicators
Sentiment Analysis: LLM-powered news and social media analysis
Volatility Modeling: GARCH and stochastic volatility models
Market Microstructure: Order book analysis and liquidity metrics

3. Decision Logic Service (`services/decision/`)

Strategy Engine: Multi-strategy framework with backtesting
Risk Management: VaR, position sizing, and portfolio optimization
Signal Generation: Multi-factor signal aggregation
Performance Analytics: Real-time P&L and performance metrics

4. Order Execution Service (`services/execution/`)

Order Management: Smart order routing and execution
Position Tracking: Real-time position and P&L monitoring
Slippage Control: Advanced execution algorithms
Compliance Engine: Regulatory compliance and audit trails

5. Monitoring Service (`services/monitoring/`)

Real-time Dashboard: Web-based monitoring interface
Alerting System: Configurable alerts and notifications
Performance Metrics: Comprehensive trading performance analytics
System Health: Infrastructure monitoring and health checks

🚀 Features & Capabilities

Core Trading Features

✅ Real-time Market Data: WebSocket-based live market feeds
✅ AI-Powered Analysis: Advanced LLM integration for market insights
✅ Multi-Strategy Support: Configurable trading strategies
✅ Risk Management: Sophisticated position sizing and portfolio protection
✅ Automated Execution: Intelligent order routing and execution
✅ Performance Analytics: Comprehensive P&L and performance tracking

Advanced Capabilities

🔥 Sentiment Analysis: Real-time news and social media sentiment
🔥 Technical Indicators: 50+ technical analysis indicators
🔥 Portfolio Optimization: Modern portfolio theory implementation
🔥 Backtesting Engine: Historical strategy performance analysis
🔥 Machine Learning: Predictive modeling and pattern recognition
🔥 API Integration: RESTful API for external integrations

Enterprise Features

🏢 Multi-User Support: Role-based access control
🏢 Audit Logging: Comprehensive audit trail and compliance
🏢 Scalability: Horizontal scaling and load balancing
🏢 High Availability: Fault tolerance and disaster recovery
🏢 Monitoring: Advanced monitoring and alerting systems
🏢 Documentation: Comprehensive API and user documentation

🔒 Security & Configuration

⚠️ Important Security Notice

This project is developed by Adrian V for learning and coding purposes. Since it's public on GitHub, extreme care must be taken with sensitive information:

🔐 Never commit real credentials to the repository
🛡️ Use environment variables for all sensitive data
🔑 Generate unique passwords for each environment
📝 Use the provided security scripts to check your configuration

🔧 Security Setup

1. Generate Secure Configuration

# Generate secure passwords and keys
python scripts/generate_secure_config.py --force

# Or use template
python scripts/generate_secure_config.py --template config_template.txt --output .env

2. Check Security Configuration

# Verify your configuration is secure
python scripts/check_security.py

3. Configure Your API Keys

Edit the generated .env.secure file and replace:

POLY_PRIVATE_KEY - Your Polygon wallet private key
POLY_API_KEY - Your Polymarket API key
POLY_API_SECRET - Your Polymarket API secret
POLY_PASSPHRASE - Your Polymarket passphrase
OPENAI_API_KEY - Your OpenAI API key

4. Security Best Practices

🔐 File Permissions: Sensitive files are created with 600 permissions
🚫 Never Commit: The .gitignore prevents committing sensitive files
🔄 Rotate Regularly: Change passwords and API keys periodically
📁 Environment Separation: Use different credentials for dev/prod
🛡️ Monitor Access: Log and monitor API usage

5. Verify Security

# Check that your configuration is secure
python scripts/check_security.py

# Should show no security issues (except for placeholder values)

📦 Installation & Setup

Prerequisites

Python: 3.9 or higher
PostgreSQL: 13 or higher
Redis: 6.0 or higher
Node.js: 16 or higher (for frontend)
Docker: 20.10 or higher (recommended)

Quick Start with Docker

# Clone the repository
git clone https://github.com/advaricorp/Polymarketbot.git
cd Polymarketbot

# Start with Docker Compose
docker-compose up -d

# Access the dashboard
open http://localhost:3000

Manual Installation

# Clone the repository
git clone https://github.com/advaricorp/Polymarketbot.git
cd Polymarketbot

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Set up environment
cp .env.example .env
# Edit .env with your credentials

# Initialize database
python init_db.py

# Start services
python services/ingest/main.py

⚙️ Configuration

Environment Variables

# Polymarket API Configuration
POLY_API_KEY=your_api_key
POLY_API_SECRET=your_api_secret
POLY_PASSPHRASE=your_passphrase

# Database Configuration
DATABASE_URL=postgresql://user:password@localhost/polymarketbot
REDIS_URL=redis://localhost:6379

# Trading Configuration
TRADING_ENABLED=true
RISK_LIMIT_PERCENT=5.0
MAX_POSITION_SIZE=1000

# AI/ML Configuration
OPENAI_API_KEY=your_openai_key
SENTIMENT_ANALYSIS_ENABLED=true

# Monitoring Configuration
LOG_LEVEL=INFO
METRICS_ENABLED=true
ALERT_EMAIL=alerts@yourcompany.com

Trading Strategy Configuration

# config/strategies.yaml
strategies:
  momentum:
    enabled: true
    parameters:
      lookback_period: 20
      threshold: 0.02
      max_position_size: 0.1
  
  mean_reversion:
    enabled: true
    parameters:
      window_size: 50
      std_dev_threshold: 2.0
      reversion_strength: 0.5

🚀 Usage & Deployment

Development Mode

# Start development environment
./start_dev.sh

# Run tests
pytest tests/

# Start individual services
python services/ingest/main.py
python services/analysis/main.py
python services/decision/main.py
python services/execution/main.py

Production Deployment

# Build production images
docker build -t polymarketbot:latest .

# Deploy with Docker Compose
docker-compose -f docker-compose.prod.yml up -d

# Monitor deployment
docker-compose logs -f

Service Management

# Check service status
./scripts/health_check.sh

# Restart services
./scripts/restart_services.sh

# Backup database
./scripts/backup_db.sh

📚 API Documentation

REST API Endpoints

# Market Data
GET /api/v1/markets          # List all markets
GET /api/v1/markets/{id}     # Get market details
GET /api/v1/markets/{id}/trades  # Get market trades

# Trading Operations
POST /api/v1/orders          # Place order
GET /api/v1/orders           # List orders
DELETE /api/v1/orders/{id}   # Cancel order

# Portfolio Management
GET /api/v1/portfolio        # Get portfolio overview
GET /api/v1/positions        # List open positions
GET /api/v1/pnl              # Get P&L data

# Analytics
GET /api/v1/analytics/performance  # Performance metrics
GET /api/v1/analytics/risk         # Risk metrics
GET /api/v1/analytics/sentiment    # Sentiment analysis

WebSocket API

// Connect to WebSocket
const ws = new WebSocket('wss://api.polymarketbot.com/ws');

// Subscribe to market updates
ws.send(JSON.stringify({
  action: 'subscribe',
  channel: 'market_data',
  market_id: 'market_123'
}));

// Handle market updates
ws.onmessage = (event) => {
  const data = JSON.parse(event.data);
  console.log('Market update:', data);
};

🔒 Security & Compliance

Security Features

Encryption: AES-256 encryption for sensitive data
Authentication: JWT-based authentication with refresh tokens
Authorization: Role-based access control (RBAC)
API Security: Rate limiting and DDoS protection
Audit Logging: Comprehensive security event logging

Compliance Features

Regulatory Compliance: Built-in compliance with financial regulations
Data Privacy: GDPR and CCPA compliance
Audit Trails: Complete audit trail for all operations
Reporting: Automated regulatory reporting capabilities
KYC/AML: Integration with KYC/AML verification services

Best Practices

Secret Management: Secure credential storage and rotation
Network Security: VPC isolation and firewall rules
Monitoring: Real-time security monitoring and alerting
Incident Response: Automated incident detection and response
Backup & Recovery: Automated backup and disaster recovery

🤝 Contributing

We welcome contributions from the community! Please read our Contributing Guidelines before submitting pull requests.

Development Setup

# Fork and clone the repository
git clone https://github.com/your-username/Polymarketbot.git
cd Polymarketbot

# Create feature branch
git checkout -b feature/amazing-feature

# Make changes and commit
git add .
git commit -m "Add amazing feature"

# Push to branch
git push origin feature/amazing-feature

# Create pull request

Code Standards

Python: Follow PEP 8 style guidelines
Type Hints: Use type hints for all functions
Documentation: Comprehensive docstrings and comments
Testing: Minimum 90% test coverage
Linting: Pass all linting checks

📞 Support & Community

Getting Help

Documentation: Full Documentation
Issues: GitHub Issues
Discussions: GitHub Discussions
Email: support@polymarketbot.com

Community Resources

Discord: Join our Discord
Telegram: Telegram Channel
Twitter: Follow us
Blog: Technical Blog

Enterprise Support

24/7 Support: Round-the-clock technical support
Custom Development: Custom features and integrations
Training: Team training and certification programs
Consulting: Strategic consulting and implementation services

🇪🇸 Español

📋 Tabla de Contenidos

Visión General del Negocio
Arquitectura Técnica
Características y Capacidades
Instalación y Configuración
Configuración
Uso y Despliegue
Documentación de la API
Seguridad y Cumplimiento
Contribuciones
Soporte y Comunidad

🎯 Visión General del Negocio

Polymarket Trading Bot es una solución de trading automatizado de clase empresarial diseñada para los mercados de predicción de Polymarket. Construido con arquitectura de nivel institucional, este bot aprovecha algoritmos avanzados de IA/ML para proporcionar análisis de mercado sofisticado, gestión de riesgos y capacidades de ejecución automatizada.

🏢 Mercado Objetivo

Traders Institucionales: Fondos de cobertura, firmas de trading e inversores profesionales
Traders Minoristas: Traders individuales que buscan soluciones automatizadas
Market Makers: Proveedores de liquidez y traders de arbitraje
Instituciones de Investigación: Organizaciones de investigación académica y comercial

💼 Propuesta de Valor Comercial

Trading Automatizado: Monitoreo y ejecución del mercado 24/7
Análisis Impulsado por IA: Análisis avanzado de sentimiento y técnico
Gestión de Riesgos: Tamaño de posición sofisticado y protección de portafolio
Escalabilidad: Arquitectura de microservicios para despliegue empresarial
Cumplimiento: Cumplimiento regulatorio integrado y auditorías

🏗️ Arquitectura Técnica

Visión General del Sistema

El bot implementa una arquitectura de microservicios con diseño dirigido por eventos, asegurando alta disponibilidad, escalabilidad y mantenibilidad.

Servicios Principales

1. Servicio de Ingesta de Datos (`services/ingest/`)

Integración WebSocket: Datos de mercado en tiempo real de Polymarket
Integración de API de Noticias: Datos externos de noticias y sentimiento
Validación de Datos: Validación de esquema y verificaciones de calidad de datos
Limitación de Tasa: Estrategias inteligentes de limitación de tasa y retroceso

2. Servicio de Análisis de Mercado (`services/analysis/`)

Análisis Técnico: Patrones de gráficos avanzados e indicadores
Análisis de Sentimiento: Análisis de noticias y redes sociales impulsado por LLM
Modelado de Volatilidad: Modelos GARCH y de volatilidad estocástica
Microestructura del Mercado: Análisis del libro de órdenes y métricas de liquidez

🚀 Características y Capacidades

Características Principales de Trading

✅ Datos de Mercado en Tiempo Real: Alimentaciones de mercado en vivo basadas en WebSocket
✅ Análisis Impulsado por IA: Integración avanzada de LLM para insights del mercado
✅ Soporte Multi-Estrategia: Estrategias de trading configurables
✅ Gestión de Riesgos: Tamaño de posición sofisticado y protección de portafolio
✅ Ejecución Automatizada: Enrutamiento inteligente de órdenes y ejecución
✅ Analíticas de Rendimiento: Seguimiento integral de P&L y rendimiento

📦 Instalación y Configuración

Requisitos Previos

Python: 3.9 o superior
PostgreSQL: 13 o superior
Redis: 6.0 o superior
Node.js: 16 o superior (para frontend)
Docker: 20.10 o superior (recomendado)

Inicio Rápido con Docker

# Clonar el repositorio
git clone https://github.com/advaricorp/Polymarketbot.git
cd Polymarketbot

# Iniciar con Docker Compose
docker-compose up -d

# Acceder al dashboard
open http://localhost:3000

⚙️ Configuración

Variables de Entorno

# Configuración de API de Polymarket
POLY_API_KEY=tu_clave_api
POLY_API_SECRET=tu_secreto_api
POLY_PASSPHRASE=tu_frase_contraseña

# Configuración de Base de Datos
DATABASE_URL=postgresql://usuario:contraseña@localhost/polymarketbot
REDIS_URL=redis://localhost:6379

# Configuración de Trading
TRADING_ENABLED=true
RISK_LIMIT_PERCENT=5.0
MAX_POSITION_SIZE=1000

🔒 Seguridad y Cumplimiento

Características de Seguridad

Encriptación: Encriptación AES-256 para datos sensibles
Autenticación: Autenticación basada en JWT con tokens de actualización
Autorización: Control de acceso basado en roles (RBAC)
Seguridad de API: Limitación de tasa y protección DDoS
Registro de Auditoría: Registro integral de eventos de seguridad

🇫🇷 Français

📋 Table des Matières

Aperçu Commercial
Architecture Technique
Fonctionnalités et Capacités
Installation et Configuration
Configuration
Utilisation et Déploiement
Documentation de l'API
Sécurité et Conformité
Contributions
Support et Communauté

🎯 Aperçu Commercial

Polymarket Trading Bot est une solution de trading automatisé de niveau entreprise conçue pour les marchés de prédiction de Polymarket. Construit avec une architecture de niveau institutionnel, ce bot exploite des algorithmes avancés d'IA/ML pour fournir une analyse de marché sophistiquée, une gestion des risques et des capacités d'exécution automatisée.

🏢 Marché Cible

Traders Institutionnels: Fonds de couverture, sociétés de trading et investisseurs professionnels
Traders Particuliers: Traders individuels recherchant des solutions automatisées
Market Makers: Fournisseurs de liquidité et traders d'arbitrage
Institutions de Recherche: Organisations de recherche académique et commerciale

💼 Proposition de Valeur Commerciale

Trading Automatisé: Surveillance et exécution du marché 24/7
Analyse Propulsée par l'IA: Analyse avancée du sentiment et technique
Gestion des Risques: Dimensionnement sophistiqué des positions et protection du portefeuille
Évolutivité: Architecture de microservices pour le déploiement entreprise
Conformité: Conformité réglementaire intégrée et pistes d'audit

🏗️ Architecture Technique

Vue d'Ensemble du Système

Le bot implémente une architecture de microservices avec une conception pilotée par les événements, assurant une haute disponibilité, une évolutivité et une maintenabilité.

Services Principaux

1. Service d'Ingestion de Données (`services/ingest/`)

Intégration WebSocket: Données de marché en temps réel de Polymarket
Intégration de l'API d'Actualités: Données externes d'actualités et de sentiment
Validation des Données: Validation de schéma et vérifications de qualité des données
Limitation de Débit: Stratégies intelligentes de limitation de débit et de retrait

2. Service d'Analyse de Marché (`services/analysis/`)

Analyse Technique: Modèles de graphiques avancés et indicateurs
Analyse du Sentiment: Analyse des actualités et des réseaux sociaux propulsée par LLM
Modélisation de la Volatilité: Modèles GARCH et de volatilité stochastique
Microstructure du Marché: Analyse du carnet d'ordres et métriques de liquidité

🚀 Fonctionnalités et Capacités

Fonctionnalités Principales de Trading

✅ Données de Marché en Temps Réel: Flux de marché en direct basés sur WebSocket
✅ Analyse Propulsée par l'IA: Intégration avancée de LLM pour les insights du marché
✅ Support Multi-Stratégie: Stratégies de trading configurables
✅ Gestion des Risques: Dimensionnement sophistiqué des positions et protection du portefeuille
✅ Exécution Automatisée: Routage intelligent des ordres et exécution
✅ Analyses de Performance: Suivi complet du P&L et de la performance

📦 Installation et Configuration

Prérequis

Python: 3.9 ou supérieur
PostgreSQL: 13 ou supérieur
Redis: 6.0 ou supérieur
Node.js: 16 ou supérieur (pour le frontend)
Docker: 20.10 ou supérieur (recommandé)

Démarrage Rapide avec Docker

# Cloner le dépôt
git clone https://github.com/advaricorp/Polymarketbot.git
cd Polymarketbot

# Démarrer avec Docker Compose
docker-compose up -d

# Accéder au tableau de bord
open http://localhost:3000

⚙️ Configuration

Variables d'Environnement

# Configuration de l'API Polymarket
POLY_API_KEY=votre_clé_api
POLY_API_SECRET=votre_secret_api
POLY_PASSPHRASE=votre_phrase_secrète

# Configuration de la Base de Données
DATABASE_URL=postgresql://utilisateur:mot_de_passe@localhost/polymarketbot
REDIS_URL=redis://localhost:6379

# Configuration du Trading
TRADING_ENABLED=true
RISK_LIMIT_PERCENT=5.0
MAX_POSITION_SIZE=1000

🔒 Sécurité et Conformité

Fonctionnalités de Sécurité

Chiffrement: Chiffrement AES-256 pour les données sensibles
Authentification: Authentification basée sur JWT avec tokens de rafraîchissement
Autorisation: Contrôle d'accès basé sur les rôles (RBAC)
Sécurité de l'API: Limitation de débit et protection DDoS
Journalisation d'Audit: Journalisation complète des événements de sécurité

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Disclaimer

IMPORTANT: This software is for educational and research purposes only. Trading cryptocurrencies and other assets carries significant risks. Users should:

Conduct thorough research before using this software
Understand the risks involved in automated trading
Ensure compliance with all applicable laws and regulations
Never invest more than they can afford to lose
Consider consulting with financial advisors

The developers and contributors are not responsible for any financial losses incurred through the use of this software.

Built with ❤️ by Adrian V - Learning and Coding for Fun

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
api		api
docker		docker
docs		docs
frontend		frontend
llm/prompts		llm/prompts
scripts		scripts
services		services
shared		shared
tests		tests
.cursorignore		.cursorignore
.env.example		.env.example
.gitignore		.gitignore
Dockerfile.backend		Dockerfile.backend
Dockerfile.dev		Dockerfile.dev
Dockerfile.frontend		Dockerfile.frontend
Dockerfile.frontend.dev		Dockerfile.frontend.dev
Makefile		Makefile
README.md		README.md
config_template.txt		config_template.txt
docker-compose.dev.yml		docker-compose.dev.yml
docker-compose.yml		docker-compose.yml
env_example.txt		env_example.txt
init_db.py		init_db.py
init_ws.py		init_ws.py
main.py		main.py
nginx.conf		nginx.conf
pyproject.toml		pyproject.toml
pytest.ini		pytest.ini
requirements.txt		requirements.txt
setup.py		setup.py
start_dev.sh		start_dev.sh

Folders and files

Latest commit

History

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🌍 Multi-Language Support

🇺🇸 English

📋 Table of Contents

🎯 Business Overview

🏢 Target Market

💼 Business Value Proposition

📊 Market Opportunity

🏗️ Technical Architecture

System Overview

Core Services

1. Data Ingestion Service (services/ingest/)

2. Market Analysis Service (services/analysis/)

3. Decision Logic Service (services/decision/)

4. Order Execution Service (services/execution/)

5. Monitoring Service (services/monitoring/)

🚀 Features & Capabilities

Core Trading Features

Advanced Capabilities

Enterprise Features

🔒 Security & Configuration

⚠️ Important Security Notice

🔧 Security Setup

1. Generate Secure Configuration

2. Check Security Configuration

3. Configure Your API Keys

4. Security Best Practices

5. Verify Security

📦 Installation & Setup

Prerequisites

Quick Start with Docker

Manual Installation

⚙️ Configuration

Environment Variables

Trading Strategy Configuration

🚀 Usage & Deployment

Development Mode

Production Deployment

Service Management

📚 API Documentation

REST API Endpoints

WebSocket API

🔒 Security & Compliance

Security Features

Compliance Features

Best Practices

🤝 Contributing

Development Setup

Code Standards

📞 Support & Community

Getting Help

Community Resources

Enterprise Support

🇪🇸 Español

📋 Tabla de Contenidos

🎯 Visión General del Negocio

🏢 Mercado Objetivo

💼 Propuesta de Valor Comercial

🏗️ Arquitectura Técnica

Visión General del Sistema

Servicios Principales

1. Servicio de Ingesta de Datos (services/ingest/)

2. Servicio de Análisis de Mercado (services/analysis/)

🚀 Características y Capacidades

Características Principales de Trading

📦 Instalación y Configuración

Requisitos Previos

Inicio Rápido con Docker

⚙️ Configuración

Variables de Entorno

🔒 Seguridad y Cumplimiento

Características de Seguridad

🇫🇷 Français

📋 Table des Matières

🎯 Aperçu Commercial

🏢 Marché Cible

💼 Proposition de Valeur Commerciale

1. Data Ingestion Service (`services/ingest/`)

2. Market Analysis Service (`services/analysis/`)

3. Decision Logic Service (`services/decision/`)

4. Order Execution Service (`services/execution/`)

5. Monitoring Service (`services/monitoring/`)

1. Servicio de Ingesta de Datos (`services/ingest/`)

2. Servicio de Análisis de Mercado (`services/analysis/`)

1. Service d'Ingestion de Données (`services/ingest/`)

2. Service d'Analyse de Marché (`services/analysis/`)

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