#!/usr/bin/env python3
"""Inter-Market-Kontext als Verdict-Kandidat (2026-07-19, User-Frage „weitere
Indikatoren?"): die EINZIGE noch ungetestete Indikator-Klasse — Information von
AUSSERHALB des WTI-Charts. Getestet werden zwei Hypothesen:

  (A) Brent-Bestätigung:  Brent-Trend (EMA12/50 M5) bestätigt das WTI-Signal →
      besserer Edge; Brent DAGEGEN → schlechter. (Brent-WTI laufen ~parallel,
      Divergenz = möglicher Fehlausbruch.)
  (B) DXY-Gegenwind:      USDX-Trend gegen die Trade-Richtung (Öl in USD:
      Dollar rauf = Öl-Gegenwind für LONG, Dollar runter = Gegenwind für SHORT).

Methodik wie die 8 verworfenen Signal-Filter: ereignisbasierte EMA-Signale auf
WTI M5 (frisches Kreuzen, Totband 0,15×ATR), sequentielle 1-Positions-Sim mit
Live-Exit (SL 2,0×ATR + Trailing 1,5 + BE 1,3), Echtkosten = Bar-Spread/ATR.
Jeder Trade wird nach dem Inter-Market-Zustand AM ENTRY gebucketed. 2 Halbjahre.

Verdict-Regel (vorab festgelegt, gegen Parameter-Fishing): ein Gate/Konfidenz-
Einbau kommt NUR in Frage, wenn der „dagegen"-Bucket in BEIDEN Hälften klar
schlechter ist als „dafür" UND das über beide Feature-Varianten (EMA-Stand und
Momentum N=12/36) robust ist. Maßstab der 6×-Lektion: Signal-Filter tragen kaum.
"""
import sys
import MetaTrader5 as mt5

_MAXH = 288; _ATRMIN = 0.12; _COOL = 6; _DEAD = 0.15


def _ema_series(C, p):
    k = 2.0 / (p + 1); e = C[0]; out = [e]
    for x in C[1:]:
        e = e + k * (x - e); out.append(e)
    return out


def _atr_series(H, L, C, p=14):
    t = [0.0]
    for i in range(1, len(C)):
        t.append(max(H[i]-L[i], abs(H[i]-C[i-1]), abs(L[i]-C[i-1])))
    return [(sum(t[max(1, i-p+1):i+1])/max(1, len(t[max(1, i-p+1):i+1]))) if i else None
            for i in range(len(C))]


def _load(sym, n):
    mt5.symbol_select(sym, True)
    bars = mt5.copy_rates_from_pos(sym, mt5.TIMEFRAME_M5, 0, n)
    if bars is None or len(bars) < 1000:
        print(f"FEHLER: keine Daten für {sym}"); sys.exit(1)
    point = mt5.symbol_info(sym).point
    T = [int(b["time"]) for b in bars]
    H = [float(b["high"]) for b in bars]; L = [float(b["low"]) for b in bars]
    C = [float(b["close"]) for b in bars]
    SP = [float(b["spread"])*point for b in bars]
    return T, H, L, C, SP


def _dir_series(H, L, C):
    """EMA12/50-Richtung mit Totband: +1/-1/0 je Bar."""
    e12 = _ema_series(C, 12); e50 = _ema_series(C, 50); A = _atr_series(H, L, C)
    out = []
    for i in range(len(C)):
        a = A[i] or 0
        if a <= 0: out.append(0); continue
        d = e12[i] - e50[i]
        out.append(1 if d > _DEAD*a else (-1 if d < -_DEAD*a else 0))
    return out, A


def st(Rs):
    if not Rs: return None
    n = len(Rs); w = sum(1 for x in Rs if x > 0); s = sum(Rs)
    up = sum(x for x in Rs if x > 0); dn = -sum(x for x in Rs if x < 0)
    return dict(n=n, wr=100*w/n, oR=s/n, pf=(up/dn if dn > 0 else 9.99), sum=s)


def line(lbl, s):
    if not s: return f"      {lbl:<26} —"
    return (f"      {lbl:<26} n={s['n']:>4} WR={s['wr']:>3.0f}% ØR={s['oR']:+.3f} "
            f"PF={s['pf']:>4.2f} ΣR={s['sum']:>+6.0f}")


def sim_trades(T, H, L, C, A, SP):
    """Sequentielle Sim: frisches EMA-Signal → Trade mit Live-Exit. Liefert
    Liste (entry_index, dir, netto_R)."""
    def cost(i, atr): return (SP[i] if SP[i] > 0 else 0.0225)/atr
    sig, _ = _dir_series(H, L, C)
    out = []; i = 60
    while i < len(C) - 2:
        if sig[i] == 0 or sig[i] == sig[i-1]:
            i += 1; continue
        d = sig[i]
        atr = max(A[i] or 0, _ATRMIN)
        entry = C[i]; eff = entry - d*2.0*atr; hw = entry
        end = min(i+_MAXH, len(C)-1); exit_px = C[end]; exit_j = end
        for j in range(i+1, end+1):
            hj, lj = H[j], L[j]
            if (lj <= eff) if d > 0 else (hj >= eff):
                exit_px = eff; exit_j = j; break
            hw = max(hw, hj) if d > 0 else min(hw, lj)
            prof = (C[j]-entry)*d
            if prof >= 0.3*atr:
                cand = hw - d*1.5*atr
                if prof >= 1.3*atr:
                    cand = max(cand, entry) if d > 0 else min(cand, entry)
                eff = max(eff, cand) if d > 0 else min(eff, cand)
        out.append((i, d, (exit_px-entry)*d/atr - cost(i, atr)))
        i = exit_j + _COOL
    return out


def main():
    n = int(sys.argv[1]) if len(sys.argv) > 1 else 80000
    mt5.initialize()
    Tw, Hw, Lw, Cw, SPw = _load("SpotCrude", n+_MAXH+60)
    Tb, Hb, Lb, Cb, _   = _load("SpotBrent", n+_MAXH+60)
    Tx, Hx, Lx, Cx, _   = _load("USDX",      n+_MAXH+60)
    mt5.shutdown()

    dir_b, Ab = _dir_series(Hb, Lb, Cb)
    dir_x, Ax = _dir_series(Hx, Lx, Cx)
    idx_b = {t: i for i, t in enumerate(Tb)}
    idx_x = {t: i for i, t in enumerate(Tx)}
    Aw = _atr_series(Hw, Lw, Cw)

    def look(idx, t):
        """Index zum WTI-Zeitstempel (bis 2 Gitterschritte zurück — Feed-Lücken)."""
        for dt_ in (0, 300, 600):
            j = idx.get(t - dt_)
            if j is not None: return j
        return None

    def mom_dir(C_, A_, j, N, thr=0.3, floor=None):
        if j is None or j < N: return None
        a = A_[j] or 0
        a = max(a, floor) if floor else (a if a > 0 else None)
        if not a: return None
        m = (C_[j] - C_[j-N]) / a
        return 1 if m > thr else (-1 if m < -thr else 0)

    trades = sim_trades(Tw, Hw, Lw, Cw, Aw, SPw)
    print("="*88)
    print(f"  Inter-Market-Kontext — WTI M5 ({len(trades)} Trades, seq. Sim, Live-Exit, Echtkosten)")
    print(f"  Buckets nach Zustand AM ENTRY. Verdict nur bei Robustheit in BEIDEN Hälften.")
    print("="*88)

    mid_t = Tw[len(Tw)//2]
    feats = []   # (half, dir, R, brent_ema, dxy_ema, brent_m12, brent_m36, dxy_m12, dxy_m36)
    miss_b = miss_x = 0
    for i, d, r in trades:
        t = Tw[i]
        jb = look(idx_b, t); jx = look(idx_x, t)
        if jb is None: miss_b += 1
        if jx is None: miss_x += 1
        h = 1 if t < mid_t else 2
        feats.append((h, d, r,
                      dir_b[jb] if jb is not None else None,
                      dir_x[jx] if jx is not None else None,
                      mom_dir(Cb, Ab, jb, 12, floor=0.12),
                      mom_dir(Cb, Ab, jb, 36, floor=0.12),
                      mom_dir(Cx, Ax, jx, 12),
                      mom_dir(Cx, Ax, jx, 36)))
    if miss_b or miss_x:
        print(f"  (ohne Inter-Market-Match: Brent {miss_b} · USDX {miss_x} — übersprungen)")

    def bucket3(val, d):
        """dafür / dagegen / neutral relativ zur Trade-Richtung."""
        if val is None: return None
        if val == 0: return "neutral"
        return "dafür" if val == d else "dagegen"

    def bucket_dxy(val, d):
        """DXY: Dollar MIT der Trade-Richtung = Gegenwind (Öl invers zum Dollar)."""
        if val is None: return None
        if val == 0: return "neutral"
        return "Gegenwind" if val == d else "Rückenwind"

    sections = [
        ("(A) Brent-Trend (EMA12/50)",      3, bucket3),
        ("(A2) Brent-Momentum 1h (N=12)",   5, bucket3),
        ("(A3) Brent-Momentum 3h (N=36)",   6, bucket3),
        ("(B) DXY-Trend (EMA12/50)",        4, bucket_dxy),
        ("(B2) DXY-Momentum 1h (N=12)",     7, bucket_dxy),
        ("(B3) DXY-Momentum 3h (N=36)",     8, bucket_dxy),
    ]
    order = ("dafür", "dagegen", "neutral", "Rückenwind", "Gegenwind")
    for title, col, bfn in sections:
        print(f"\n  {title}:")
        for h in (1, 2):
            print(f"    H{h}:")
            groups = {}
            for row in feats:
                if row[0] != h: continue
                b = bfn(row[col], row[1])
                if b is None: continue
                groups.setdefault(b, []).append(row[2])
            for name in order:
                if name in groups:
                    print(line(name, st(groups[name])))

    print("\n  Verdict-Regel: Einbau NUR wenn 'dagegen'/'Gegenwind' in BEIDEN Hälften")
    print("  klar schlechter als 'dafür'/'Rückenwind' UND über die Varianten robust.")


if __name__ == "__main__":
    main()