workspace-v1/projects/trading-platform/apps/ml-engine/.env.example
Adrian Flores Cortes 967ab360bb Initial commit: Workspace v1 with 3-layer architecture
Structure:
- control-plane/: Registries, SIMCO directives, CI/CD templates
- projects/: Gamilit, ERP-Suite, Trading-Platform, Betting-Analytics
- shared/: Libs catalog, knowledge-base

Key features:
- Centralized port, domain, database, and service registries
- 23 SIMCO directives + 6 fundamental principles
- NEXUS agent profiles with delegation rules
- Validation scripts for workspace integrity
- Dockerfiles for all services
- Path aliases for quick reference

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 00:35:19 -06:00

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# OrbiQuant IA - ML Engine Configuration
# ======================================
# Server Configuration
HOST=0.0.0.0
PORT=8002
DEBUG=false
LOG_LEVEL=INFO
# CORS Configuration
CORS_ORIGINS=http://localhost:3000,http://localhost:5173,http://localhost:8000
# Data Service Integration (Massive.com/Polygon data)
DATA_SERVICE_URL=http://localhost:8001
# Database Configuration (for historical data)
# DATABASE_URL=mysql+pymysql://user:password@localhost:3306/orbiquant
# Model Configuration
MODELS_DIR=models
MODEL_CACHE_TTL=3600
# Supported Symbols
SUPPORTED_SYMBOLS=XAUUSD,EURUSD,GBPUSD,USDJPY,BTCUSD,ETHUSD
# Prediction Configuration
DEFAULT_TIMEFRAME=15m
DEFAULT_RR_CONFIG=rr_2_1
LOOKBACK_PERIODS=500
# GPU Configuration (for PyTorch/XGBoost)
# CUDA_VISIBLE_DEVICES=0
# USE_GPU=true
# Feature Engineering
FEATURE_CACHE_TTL=60
MAX_FEATURE_AGE_SECONDS=300
# Signal Generation
SIGNAL_VALIDITY_MINUTES=15
MIN_CONFIDENCE_THRESHOLD=0.55
# Backtesting
BACKTEST_DEFAULT_CAPITAL=10000
BACKTEST_DEFAULT_RISK=0.02
# Logging
LOG_FILE=logs/ml-engine.log
LOG_ROTATION=10 MB
LOG_RETENTION=7 days