import os
from dataclasses import dataclass, field


@dataclass
class Config:
    # Kraken API credentials — set via .env or environment variables
    api_key: str = field(default_factory=lambda: os.getenv("KRAKEN_API_KEY", ""))
    api_secret: str = field(default_factory=lambda: os.getenv("KRAKEN_API_SECRET", ""))

    # Quote currency to scan (only USD pairs)
    quote_currency: str = "USD"

    # Volume filter: minimum 24h traded volume in USD
    # Filters out illiquid/dead coins
    min_volume_usd: float = 500_000

    # Momentum filter: 24h price change must be in this range
    # Below 3% = noise; above 15% = likely already overextended
    min_price_change_pct: float = 3.0
    max_price_change_pct: float = 15.0

    # Portfolio limits
    max_positions: int = 5        # Maximum concurrent holdings
    min_order_usd: float = 15.0   # Kraken minimum is ~$10; keep a small buffer
    taker_fee_pct: float = 0.4    # Reserve this % per order for Kraken's taker fee (actual ~0.26%)

    # ── Risk management ──────────────────────────────────────────────────────
    # Trailing stop: sell if price drops this % below its peak since purchase.
    # Example: buy at $100, peaks at $130 → stop triggers at $119.60
    trailing_stop_pct: float = 8.0

    # Hard stop: sell if price drops this % below entry price, regardless of peak.
    # Protects against gapping down before the trailing stop can trigger.
    hard_stop_pct: float = 12.0

    # Take profit: sell when price is this % above entry.
    take_profit_pct: float = 5.0

    # Time limit: sell after this many hours if no stop/TP was hit.
    # Prevents dead money from tying up capital indefinitely.
    max_hold_hours: int = 72

    # Cooldown: hours to wait before re-buying a pair that was just sold.
    # Prevents immediately re-entering a coin whose momentum has stalled or reversed.
    sold_cooldown_hours: float = 4.0

    # ── Execution ────────────────────────────────────────────────────────────
    # ALWAYS start with paper_trading=True and verify behaviour before going live.
    # Set to False only after you understand the bot's decisions.
    paper_trading: bool = True

    # Path for persisting open positions across runs
    positions_file: str = "positions.json"

    log_file: str = "bot.log"