# Minimal tuning configuration for testing
# Generated by test_tli_tuning.sh

tuning:
  # Optuna study configuration
  study_name: "test_study"
  storage: "sqlite:///optuna_test.db"
  direction: "maximize"  # Maximize Sharpe ratio

  # Search space for DQN
  search_space:
    learning_rate:
      type: "float"
      low: 0.0001
      high: 0.01
      log: true

    batch_size:
      type: "int"
      low: 32
      high: 128
      step: 32

    gamma:
      type: "float"
      low: 0.90
      high: 0.99

    epsilon_decay:
      type: "float"
      low: 0.990
      high: 0.999

  # Training configuration
  training:
    epochs: 10
    validation_split: 0.2
    early_stopping_patience: 3

  # Evaluation metrics
  metrics:
    - "sharpe_ratio"
    - "total_return"
    - "max_drawdown"
    - "win_rate"