# Trading System Configuration

# Trading Symbols (extendable)
symbols:
  - "ETH/USDT"
  - "BTC/USDT"

# Timeframes for multi-timeframe analysis
timeframes:
  - "1m"
  - "5m" 
  - "15m"
  - "1h"
  - "4h"
  - "1d"

# Data Provider Settings
data:
  provider: "binance"
  cache_enabled: true
  cache_dir: "cache"
  historical_limit: 1000
  real_time_enabled: true
  websocket_reconnect: true

# CNN Model Configuration
cnn:
  window_size: 20
  features: ["open", "high", "low", "close", "volume"]
  hidden_layers: [64, 32, 16]
  dropout: 0.2
  learning_rate: 0.001
  batch_size: 32
  epochs: 100
  confidence_threshold: 0.6

# RL Agent Configuration  
rl:
  state_size: 100  # Will be calculated dynamically
  action_space: 3  # BUY, HOLD, SELL
  epsilon: 1.0
  epsilon_decay: 0.995
  epsilon_min: 0.01
  learning_rate: 0.0001
  gamma: 0.99
  memory_size: 10000
  batch_size: 64
  target_update_freq: 1000

# Orchestrator Settings
orchestrator:
  cnn_weight: 0.7      # Weight for CNN predictions
  rl_weight: 0.3       # Weight for RL decisions
  confidence_threshold: 0.5  # Minimum confidence to act
  decision_frequency: 60     # Seconds between decisions

# Trading Execution
trading:
  max_position_size: 0.1    # Maximum position size (fraction of balance)
  stop_loss: 0.02           # 2% stop loss
  take_profit: 0.05         # 5% take profit
  trading_fee: 0.0002       # 0.02% trading fee
  min_trade_interval: 60    # Minimum seconds between trades

# Web Dashboard
web:
  host: "127.0.0.1"
  port: 8050
  debug: false
  update_interval: 1000  # Milliseconds
  chart_history: 100     # Number of candles to show

# Logging
logging:
  level: "INFO"
  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
  file: "logs/trading.log"
  max_size: 10485760  # 10MB
  backup_count: 5

# GPU/Performance
performance:
  use_gpu: true
  mixed_precision: true
  num_workers: 4
  batch_size_multiplier: 1.0

# Paths
paths:
  models: "models"
  data: "data"
  logs: "logs"
  cache: "cache"
  plots: "plots"

# Training Configuration
training:
  use_only_real_data: true  # CRITICAL: Never use synthetic/generated data
  batch_size: 32
  learning_rate: 0.001
  epochs: 100
  validation_split: 0.2
  early_stopping_patience: 10

# Directory paths