"""순수 TA 지표 — sma / rsi_series / highest_high."""
from __future__ import annotations


def sma(values: list[float], period: int) -> float | None:
    if period <= 0 or len(values) < period:
        return None
    return sum(values[-period:]) / period


def highest_high(highs: list[float], period: int) -> float | None:
    if period <= 0 or len(highs) < period:
        return None
    return max(highs[-period:])


def rsi_series(closes: list[float], period: int = 14) -> list[float]:
    """Wilder RSI. 반환 리스트는 closes[period:]에 1:1 정렬. 부족하면 []."""
    if len(closes) <= period:
        return []
    deltas = [closes[i] - closes[i - 1] for i in range(1, len(closes))]
    gains = [d if d > 0 else 0.0 for d in deltas]
    losses = [-d if d < 0 else 0.0 for d in deltas]

    def _rsi(ag: float, al: float) -> float:
        if al == 0:
            return 100.0
        rs = ag / al
        return 100.0 - 100.0 / (1.0 + rs)

    avg_gain = sum(gains[:period]) / period
    avg_loss = sum(losses[:period]) / period
    out = [_rsi(avg_gain, avg_loss)]
    for i in range(period, len(deltas)):
        avg_gain = (avg_gain * (period - 1) + gains[i]) / period
        avg_loss = (avg_loss * (period - 1) + losses[i]) / period
        out.append(_rsi(avg_gain, avg_loss))
    return out