#!/usr/bin/env python3
"""Misst einen Höher-TF-WINKEL-Filter: Signal verwerfen (→WARTEN), wenn der
M30- UND/ODER H1-Regressionswinkel klar GEGEN die Signalrichtung steht (führender
Winkel statt nachlaufender EMA). Genau der Fall, der die −37/−10-Shorts erzeugte:
Welle short, aber M30/H1-Winkel stark aufwärts.

Frage: Haben die so entfernten Signale negativen Edge (gut weg) und trägt der
Gesamtertrag der behaltenen Signale? (Pauschal-Filter kann auch Gewinner killen.)
"""
import sys, bisect
import MetaTrader5 as mt5
from core.analysis import calc_trend_angle
from core.wave_rec import (WaveRecommender, _atr, _ema_last, _EMA_FAST, _EMA_SLOW,
                           _N_BARS, _HTF_DEADBAND, _ANGLE_LR)


class _TU:
    def snapshot(self): return {"intervals": {}}
def _ema_series(v,p):
    k=2.0/(p+1); o=[]; e=v[0]
    for i,x in enumerate(v): e=x if i==0 else x*k+e*(1-k); o.append(e)
    return o
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 _rep(name, r):
    if not r: print(f"  {name:<30} -"); return
    n=len(r); w=sum(1 for x in r if x>0)
    print(f"  {name:<30} n={n:>4} Treffer={100*w/n:>3.0f}% Ø-Edge={sum(r)/n:+.4f} Summe={sum(r):+.1f}")

def main():
    n=int(sys.argv[1]) if len(sys.argv)>1 else 12000
    K=10
    mt5.initialize()
    sym=None
    for c in ("SpotCrude","USOIL","WTI","XTIUSD"):
        if mt5.symbol_info(c): sym=c; break
    bars=mt5.copy_rates_from_pos(sym,mt5.TIMEFRAME_M5,0,n+_N_BARS+K+5)
    m30=mt5.copy_rates_from_pos(sym,mt5.TIMEFRAME_M30,0,n//6+400)
    h1 =mt5.copy_rates_from_pos(sym,mt5.TIMEFRAME_H1,0,n//12+400)
    mt5.shutdown()
    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]
    mT=[int(b["time"]) for b in m30]; mc=[float(b["close"]) for b in m30]
    mh=[float(b["high"]) for b in m30]; ml=[float(b["low"]) for b in m30]
    mEf=_ema_series(mc,_EMA_FAST); mEs=_ema_series(mc,_EMA_SLOW); mA=_atr_series(mh,ml,mc)
    hT=[int(b["time"]) for b in h1]; hc=[float(b["close"]) for b in h1]
    def m30sign(ts):
        idx=bisect.bisect_right(mT,ts)-1
        if idx<_EMA_SLOW or mA[idx] is None or mA[idx]<=0: return 0
        d=mEf[idx]-mEs[idx]
        return 0 if abs(d)<_HTF_DEADBAND*mA[idx] else (1 if d>0 else -1)
    def ang_at(ts, TT, CC):
        idx=bisect.bisect_right(TT,ts)-1
        if idx<_ANGLE_LR+2: return 90.0
        return calc_trend_angle(CC[idx-_ANGLE_LR-1:idx+1], _ANGLE_LR)

    w=WaveRecommender(_TU(), mt5.TIMEFRAME_M5)
    sigs=[]   # (d, fwd, m30dev, h1dev)   dev = Winkel-90 (>0 auf, <0 ab)
    for i in range(_N_BARS, len(C)-K):
        wc=C[i-_N_BARS:i]; wh=H[i-_N_BARS:i]; wl=L[i-_N_BARS:i]
        atr=_atr(wh,wl,wc)
        if not atr or atr<=0: continue
        ef=_ema_last(wc,_EMA_FAST); es=_ema_last(wc,_EMA_SLOW)
        a5=calc_trend_angle(C[i-_ANGLE_LR-2:i],_ANGLE_LR)
        rec,_=w._build(ef,es,C[i-1],atr,"M5",0,htf_trend=m30sign(T[i]),angle=a5)
        if rec["signal"]=="WARTEN": continue
        d=1 if rec["signal"]=="LONG" else -1
        fwd=(C[i+K]-C[i])*d
        sigs.append((d, fwd, ang_at(T[i],mT,mc)-90.0, ang_at(T[i],hT,hc)-90.0))

    base=[f for (_,f,_,_) in sigs]
    print("="*78)
    print(f"  Höher-TF-Winkel-Filter — {sym} M5  Signale={len(sigs)}  Vorlauf={K}")
    print("="*78)
    _rep("BASELINE (alle Signale)", base)
    print("  dev = Regressionswinkel − 90  (>0 aufwärts, <0 abwärts)\n")

    for T_ in (2, 10, 20, 40):
        # "gegen die Richtung": Short & Winkel auf (dev>+T) bzw. Long & Winkel ab (dev<−T)
        def against(d, dev): return (d<0 and dev> T_) or (d>0 and dev< -T_)
        for mode in ("BEIDE", "EINER"):
            removed=[]; kept=[]
            for (d,f,m,h) in sigs:
                am=against(d,m); ah=against(d,h)
                cut = (am and ah) if mode=="BEIDE" else (am or ah)
                (removed if cut else kept).append(f)
            print(f"Schwelle T={T_}°  ·  '{mode} TF gegen Signal':")
            _rep("  entfernt (würde →WARTEN)", removed)
            _rep("  behalten (gehandelt)", kept)
            db=(sum(kept)-sum(base))
            print(f"     Δ Gesamtertrag vs Baseline: {db:+.1f}  "
                  f"({'BESSER' if db>0 else 'schlechter'})  · behalten {len(kept)}/{len(sigs)}")
        print()

if __name__=="__main__":
    main()