# AI Trading Application Configuration
# This file can be placed at:
#   - ./config.yaml (current directory)
#   - ~/.config/aitrade/config.yaml
#   - /etc/aitrade/config.yaml
# Or specify with: CONFIG_FILE=/path/to/config.yaml ./aitrade

# Interactive Brokers Gateway
ib_gateway:
  host: 127.0.0.1
  port: 4001            # 4001 for live, 4002 for paper trading
  client_id: 1

# Trading Configuration
trading:
  # Strategy: defensive, normal, aggressive
  strategy: normal

  # Stop Loss
  stop_loss_enabled: true
  stop_loss_percent: 3.0

  # Rate Limiting
  max_trades_per_hour: 6
  max_parallel_trades: 5
  pending_time: 300           # Seconds or Go duration (300, "5m", "1h30m")

  # Dry Run Mode (Paper Trading)
  dry_run: true
  dry_run_balance: 100000.0

  # Auto Trading
  trading_enabled: true
  trading_interval: 60        # Seconds or Go duration (60, "1m", "5m")
  watch_symbols:
    - AAPL
    - MSFT
    - GOOGL
    - TSLA
    - AMZN

  # SELL Triggers
  take_profit_percent: 5.0
  hold_time_minutes: 30
  sell_on_negative_sentiment: true

  # Trade Limits
  max_trade_value: 2000.0     # 0 = unlimited

# Database
database:
  path: ./data/aitrade.db

# Web Server
web:
  host: 0.0.0.0
  port: "8080"

# OpenID Connect (Optional)
oidc:
  enabled: false
  issuer: https://auth.example.com
  client_id: aitrade
  client_secret: your-secret-here
  redirect_url: http://localhost:8080/callback
  scopes:
    - openid
    - profile
    - email

# News Aggregation
news:
  poll_interval: 300          # Seconds or Go duration (300, "5m", "1h")
  api_key: ""                 # Optional: NewsAPI.org key

# LLM Sentiment Scorer (Optional - requires Ollama)
llm_scorer:
  enabled: false              # Set to true to enable LLM-based sentiment
  endpoint: http://localhost:11434
  model_name: mistral         # "mistral", "llama2", "llama2:70b", "phi3:mini", "llama3.2:1b"
  timeout: 30                 # Seconds or Go duration
  temperature: 0.3            # 0.0-1.0, lower = more deterministic
  max_retries: 2
  ensemble_weight: 0.7        # 0.0-1.0 (1.0 = LLM only, 0.7 = 70% LLM + 30% keyword)
  max_parallel: 20            # Max parallel LLM requests (worker pool size)
  top_positive_count: 20      # Send top N positive articles to LLM (0 = all)
  top_negative_count: 20      # Send top N negative articles to LLM (0 = all)

# Logging
log_level: info               # debug, info, warn, error