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>
This commit is contained in:
Axel Hocks
2026-07-24 08:29:23 +02:00
co-authored by Claude Opus 4.8
commit 75d28827e8
104 changed files with 21059 additions and 0 deletions
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#!/usr/bin/env python3
"""Misst, ob die Konfidenz (conf_pct aus _build) den Edge vorhersagt: bringt ein
Mindest-Konfidenz-Gate etwas? Live-Konfig M5 + M30-Filter + Winkel + Tageszeit."""
import sys
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:<14} -"); return
n=len(r); w=sum(1 for x in r if x>0)
print(f" {name:<14} n={n:>4} Treffer={100*w/n:>3.0f}% Oe-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)
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)
def m30s(ts):
lo,hi,idx=0,len(mT)-1,-1
while lo<=hi:
md=(lo+hi)//2
if mT[md]<=ts: idx=md; lo=md+1
else: hi=md-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)
w=WaveRecommender(_TU(), mt5.TIMEFRAME_M5)
buckets={'<40':[], '40-54':[], '55-69':[], '70-84':[], '85+':[]}
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)
ang=calc_trend_angle(C[i-_ANGLE_LR-2:i],_ANGLE_LR)
rec,_=w._build(ef,es,C[i-1],atr,"M5",5,htf_trend=m30s(T[i]),angle=ang)
if rec["signal"]=="WARTEN": continue
d=1 if rec["signal"]=="LONG" else -1
r=(C[i+K]-C[i])*d
cf=rec["conf_pct"]
b=('<40' if cf<40 else '40-54' if cf<55 else '55-69' if cf<70 else '70-84' if cf<85 else '85+')
buckets[b].append(r)
print("="*60); print(f" Konfidenz vs Edge — {sym} M5+M30 Vorlauf={K}"); print("="*60)
for b in ('<40','40-54','55-69','70-84','85+'): _rep(b, buckets[b])
# kumuliert ab Schwelle
print("\nKumuliert ab Mindest-Konfidenz:")
order=['<40','40-54','55-69','70-84','85+']; lo=[0,40,55,70,85]
allr=[]
for b in order: allr+=buckets[b]
tot=len(allr)
for k,thr in enumerate(lo):
rr=[]
for j in range(k,len(order)): rr+=buckets[order[j]]
if rr:
win=sum(1 for x in rr if x>0)
print(f" conf>={thr:>2}: n={len(rr):>4} ({100*len(rr)/tot:>3.0f}%) "
f"Treffer={100*win/len(rr):>3.0f}% Oe-Edge={sum(rr)/len(rr):+.4f}")
if __name__=="__main__":
main()