trading-platform-ml-engine-v2/config/database.yaml
rckrdmrd 75c4d07690 feat: Initial commit - ML Engine codebase
Hierarchical ML Pipeline for trading predictions:
- Level 0: Attention Models (volatility/flow classification)
- Level 1: Base Models (XGBoost per symbol/timeframe)
- Level 2: Metamodels (XGBoost Stacking + Neural Gating)

Key components:
- src/pipelines/hierarchical_pipeline.py - Main prediction pipeline
- src/models/ - All ML model classes
- src/training/ - Training utilities
- src/api/ - FastAPI endpoints
- scripts/ - Training and evaluation scripts
- config/ - YAML configurations

Note: Trained models (*.joblib, *.pt) are gitignored.
      Regenerate with training scripts.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-18 04:27:40 -06:00

49 lines
1.1 KiB
YAML

# Database Configuration
# ======================
# PostgreSQL - Primary Database (trading_platform)
postgres:
host: "${DB_HOST:-localhost}"
port: "${DB_PORT:-5432}"
database: "${DB_NAME:-trading_platform}"
user: "${DB_USER:-trading}"
password: "${DB_PASSWORD:-trading_dev_2025}"
pool_size: 10
max_overflow: 20
pool_timeout: 30
pool_recycle: 3600
echo: false
# MySQL - Remote Database (Historical data - READ ONLY)
mysql:
host: "72.60.226.4"
port: 3306
user: "root"
password: "AfcItz2391,."
database: "db_trading_meta"
pool_size: 5
max_overflow: 10
pool_timeout: 30
pool_recycle: 3600
echo: false
read_only: true # Solo lectura de datos historicos
redis:
host: "localhost"
port: 6379
db: 0
password: null
decode_responses: true
max_connections: 50
# Data fetching settings
data:
default_limit: 50000
batch_size: 5000
cache_ttl: 300 # seconds
# Table names
tables:
tickers_agg_data: "tickers_agg_data"
tickers_agg_ind_data: "tickers_agg_ind_data"
tickers_agg_data_predict: "tickers_agg_data_predict"