from dataclasses import dataclass, field
from typing import List

@dataclass
class Settings:
    # 20 FX
    fx: List[str] = field(default_factory=lambda: [
        "EURUSD=X","GBPUSD=X","USDJPY=X","USDCHF=X","USDCAD=X",
        "AUDUSD=X","NZDUSD=X","EURGBP=X","EURJPY=X","EURCHF=X",
        "GBPJPY=X","AUDJPY=X","CHFJPY=X","CADJPY=X","EURAUD=X",
        "EURNZD=X","GBPAUD=X","GBPCAD=X","AUDCAD=X","NZDJPY=X",
    ])
    # 20 CRYPTO
    crypto: List[str] = field(default_factory=lambda: [
        "BTC-USD","ETH-USD","BNB-USD","SOL-USD","XRP-USD",
        "ADA-USD","DOGE-USD","TRX-USD","DOT-USD","AVAX-USD",
        "MATIC-USD","LTC-USD","BCH-USD","LINK-USD","ATOM-USD",
        "XMR-USD","XLM-USD","ETC-USD","FIL-USD","NEAR-USD",
    ])

    yf_period: str = "5d"
    interval: str = "1m"
    starting_cash: float = 10000.0
    loop_sleep_s: int = 2
    root_dir: str = "out"
    commission_per_trade: float = 1.0
    slippage_bp: float = 1.0

    # — parametry strategii —
    history_min_bars: int = 220
    rsi_len: int = 14

    # filtry – poluzowane
    require_trend: bool = False        # ignoruj EMA200 gdy False
    use_macd_filter: bool = False      # ignoruj MACD gdy False
    adx_min: float = 8.0
    atr_min_frac_price: float = 1e-4
    rsi_buy_max: float = 75.0
    rsi_sell_min: float = 25.0

    # SL/TP
    sl_atr_mult: float = 1.3
    tp_rr: float = 1.5

    # sizing na ryzyko
    risk_per_trade_frac: float = 0.02   # 2% equity na 1R
    min_size: float = 1.0
    max_size: float = 100000.0

    # shorty
    allow_short: bool = True

    @property
    def tickers(self) -> List[str]:
        return self.fx + self.crypto

CFG = Settings()