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AH-Oil-Trader/backtest_confluence.py
Axel HocksandClaude Opus 4.8 75d28827e8 Initial commit: Oil Trading Bot (MT5, WTI)
Headless FastAPI-Backend (server.py + core/engine.py) mit Mobile-PWA (web/),
Strategie-/Backtest-Suite und Doku. Secrets, DB, Logs und Laufzeit-State sind
via .gitignore ausgeschlossen; Config-Vorlage: oil_widget_config.ini.example.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 08:29:23 +02:00

170 lines
6.4 KiB
Python

#!/usr/bin/env python3
"""Misst, ob eigene Indikatoren (MACD / ADX / RSI) als Konfluenz den Edge der
Live-Empfehlung (M5 + M30-Filter) heben — VOR jeder Integration ("erst messen").
Idee: keinen externen Anbieter, sondern lokal aus den MT5-Bars rechnen
(Trend=EMA/ADX, Momentum=MACD/RSI). Pro EMA-Signal wird der Vorlauf-Edge je
Indikator-Übereinstimmung gebucketet + ein kombiniertes Gate getestet.
"""
from __future__ import annotations
import sys
import MetaTrader5 as mt5
from core.wave_rec import (WaveRecommender, _atr, _ema_last,
_EMA_FAST, _EMA_SLOW, _N_BARS, _HTF_DEADBAND)
_TF = {"M1": mt5.TIMEFRAME_M1, "M5": mt5.TIMEFRAME_M5, "M15": mt5.TIMEFRAME_M15,
"M30": mt5.TIMEFRAME_M30, "H1": mt5.TIMEFRAME_H1}
class _NeutralTU:
def snapshot(self): return {"intervals": {}}
def _ema_series(vals, period):
k = 2.0/(period+1); out=[]; e=vals[0]
for i,v in enumerate(vals):
e = v if i==0 else v*k + e*(1-k); out.append(e)
return out
def _atr_series(H,L,C,period=14):
trs=[0.0]
for i in range(1,len(C)):
trs.append(max(H[i]-L[i], abs(H[i]-C[i-1]), abs(L[i]-C[i-1])))
out=[]
for i in range(len(C)):
w=trs[max(1,i-period+1):i+1]; out.append(sum(w)/len(w) if w else None)
return out
def _rsi_series(C, period=14):
n=len(C); out=[None]*n
if n < period+1: return out
ag=al=0.0
for i in range(1, period+1):
ch=C[i]-C[i-1]; ag+=max(ch,0); al+=max(-ch,0)
ag/=period; al/=period
out[period]=100 - 100/(1+(ag/al if al>0 else 1e9))
for i in range(period+1, n):
ch=C[i]-C[i-1]
ag=(ag*(period-1)+max(ch,0))/period
al=(al*(period-1)+max(-ch,0))/period
out[i]=100 - 100/(1+(ag/al if al>0 else 1e9))
return out
def _macd_hist(C, fast=12, slow=26, sig=9):
ef=_ema_series(C,fast); es=_ema_series(C,slow)
line=[ef[i]-es[i] for i in range(len(C))]
signal=_ema_series(line,sig)
return [line[i]-signal[i] for i in range(len(C))]
def _adx(H,L,C,period=14):
"""Wilder ADX. Gibt (adx[], plus_di[], minus_di[]) (None vor Warmup)."""
n=len(C); pdm=[0.0]*n; mdm=[0.0]*n; tr=[0.0]*n
for i in range(1,n):
up=H[i]-H[i-1]; dn=L[i-1]-L[i]
pdm[i]=up if (up>dn and up>0) else 0.0
mdm[i]=dn if (dn>up and dn>0) else 0.0
tr[i]=max(H[i]-L[i], abs(H[i]-C[i-1]), abs(L[i]-C[i-1]))
adx=[None]*n; pdi=[None]*n; mdi=[None]*n
if n < 2*period+1: return adx,pdi,mdi
s_tr=sum(tr[1:period+1]); s_p=sum(pdm[1:period+1]); s_m=sum(mdm[1:period+1])
dxs=[]
for i in range(period, n):
if i>period:
s_tr=s_tr - s_tr/period + tr[i]
s_p =s_p - s_p/period + pdm[i]
s_m =s_m - s_m/period + mdm[i]
p=100*s_p/s_tr if s_tr>0 else 0.0
m=100*s_m/s_tr if s_tr>0 else 0.0
pdi[i]=p; mdi[i]=m
dx=100*abs(p-m)/(p+m) if (p+m)>0 else 0.0
dxs.append((i,dx))
# ADX = Wilder-Glättung der DX
if len(dxs) >= period:
first_bar, _=dxs[period-1]
a=sum(d for _,d in dxs[:period])/period
adx[first_bar]=a
for k in range(period, len(dxs)):
bar,d=dxs[k]
a=(a*(period-1)+d)/period
adx[bar]=a
return adx,pdi,mdi
def _rep(name, rets):
if not rets: print(f" {name:<26} -"); return
n=len(rets); win=sum(1 for x in rets if x>0)
print(f" {name:<26} n={n:>4} Treffer={100*win/n:>3.0f}% Oe-Edge={sum(rets)/n:+.4f}")
def main():
n_bars=int(sys.argv[1]) if len(sys.argv)>1 else 8000
K=10
if not mt5.initialize(): print("init",mt5.last_error()); sys.exit(1)
sym=None
for c in ("SpotCrude","USOIL","WTI","XTIUSD"):
if mt5.symbol_info(c): sym=c; break
sym=sym or "SpotCrude"
bars=mt5.copy_rates_from_pos(sym, mt5.TIMEFRAME_M5, 0, n_bars+_N_BARS+K+5)
m30b=mt5.copy_rates_from_pos(sym, mt5.TIMEFRAME_M30, 0, n_bars//6+400)
mt5.shutdown()
if bars is None or m30b is None: print("Bars fehlen"); sys.exit(1)
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 m30b]; mc=[float(b["close"]) for b in m30b]
mh=[float(b["high"]) for b in m30b]; ml=[float(b["low"]) for b in m30b]
mEf=_ema_series(mc,_EMA_FAST); mEs=_ema_series(mc,_EMA_SLOW); mATR=_atr_series(mh,ml,mc)
rsi=_rsi_series(C); hist=_macd_hist(C); adx,pdi,mdi=_adx(H,L,C)
def m30_sign(ts):
lo,hi,idx=0,len(mT)-1,-1
while lo<=hi:
mid=(lo+hi)//2
if mT[mid]<=ts: idx=mid; lo=mid+1
else: hi=mid-1
if idx<_EMA_SLOW or mATR[idx] is None or mATR[idx]<=0: return 0
d=mEf[idx]-mEs[idx]
return 0 if abs(d)<_HTF_DEADBAND*mATR[idx] else (1 if d>0 else -1)
w=WaveRecommender(_NeutralTU(), mt5.TIMEFRAME_M5)
base=[]; macd_ok=[]; macd_no=[]; di_ok=[]; di_no=[]
adx_strong=[]; adx_weak=[]; rsi_ok=[]; rsi_no=[]; gate=[]
for i in range(_N_BARS, len(C)-K):
j=i-1
if adx[j] is None or rsi[j] is None: continue
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)
rec,_=w._build(ef,es,C[j],atr,"M5",5,htf_trend=m30_sign(T[i]))
if rec["signal"]=="WARTEN": continue
d=1 if rec["signal"]=="LONG" else -1
r=(C[i+K]-C[i])*d
base.append(r)
(macd_ok if (hist[j]>0)==(d>0) else macd_no).append(r)
(di_ok if (pdi[j]-mdi[j]>0)==(d>0) else di_no).append(r)
(adx_strong if adx[j]>=25 else adx_weak).append(r)
rsi_aligned = (rsi[j]>50) if d>0 else (rsi[j]<50)
(rsi_ok if rsi_aligned else rsi_no).append(r)
if (hist[j]>0)==(d>0) and adx[j]>=20: # kombiniertes Gate
gate.append(r)
print("="*64)
print(f" Konfluenz-Test — {sym} M5+M30 Vorlauf={K}")
print("="*64)
_rep("BASIS (alle Signale)", base)
print("-- MACD-Histogramm --"); _rep("MACD dafür", macd_ok); _rep("MACD dagegen", macd_no)
print("-- ADX-Richtung (DI) --"); _rep("DI dafür", di_ok); _rep("DI dagegen", di_no)
print("-- ADX-Stärke --"); _rep("ADX>=25 (Trend stark)", adx_strong); _rep("ADX<25 (schwach)", adx_weak)
print("-- RSI 50-Linie --"); _rep("RSI dafür", rsi_ok); _rep("RSI dagegen", rsi_no)
print("-- Gate: MACD dafür & ADX>=20 --"); _rep("Gate", gate)
if __name__ == "__main__":
main()