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>
130 lines
5.7 KiB
Python
130 lines
5.7 KiB
Python
#!/usr/bin/env python3
|
||
"""Schlüssel-Messungen mit ECHTEN Kosten nachgerechnet (Track B):
|
||
Kosten je Trade = Bar-`spread`(Signal-Bar) / ATR(Signal-Bar) in R (Roundtrip = 1×Spread;
|
||
Kommission laut DB ~0). Bisher pauschal 0,1×ATR — real Ø 0,265, nachts bis 0,5.
|
||
(1) Netto-R je Berlin-Stunde (beide Hälften) — welche Stunden tragen echt?
|
||
(2) Gate-Politiken: kein Gate vs. Nacht-Blackout 0–7 vs. 0–7+12 — beide Hälften.
|
||
(3) breakout_k 0,3/0,5/1,0 mit echten Kosten (Kosten am Bestätigungs-Bar).
|
||
"""
|
||
import sys, datetime as dt
|
||
from zoneinfo import ZoneInfo
|
||
import MetaTrader5 as mt5
|
||
from core.analysis import calc_trend_angle
|
||
from core.wave_rec import (_EMA_FAST, _EMA_SLOW, _N_BARS, _ANGLE_LR, _ANGLE_DEAD,
|
||
_REVERSAL_STRETCH, _STRETCH_MAX)
|
||
_MAXH=200; _TRAILON=0.3; _TPTRAIL=0.5; _ATRMIN=0.12; _SL_ATR=2.0; _CONFIRM_W=12
|
||
_BROKER_OFF=3*3600; _BERLIN=ZoneInfo("Europe/Berlin")
|
||
|
||
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 simulate(entry,d,atr,sl,H,L,C,j0):
|
||
eff=sl; hw=entry; trail=False
|
||
end=min(j0+_MAXH,len(C)-1); exit_px=C[end]
|
||
for j in range(j0,end+1):
|
||
hi,lo=H[j],L[j]
|
||
if (lo<=eff) if d>0 else (hi>=eff): return (eff-entry)*d/atr
|
||
hw=max(hw,hi) if d>0 else min(hw,lo)
|
||
if (C[j]-entry)*d>=_TRAILON*atr: trail=True
|
||
if trail:
|
||
lock=hw-d*_TPTRAIL*atr
|
||
eff=max(eff,lock) if d>0 else min(eff,lock)
|
||
return (exit_px-entry)*d/atr
|
||
def bhour(raw):
|
||
return dt.datetime.fromtimestamp(int(raw)-_BROKER_OFF,tz=dt.timezone.utc).astimezone(_BERLIN).hour
|
||
|
||
def main():
|
||
n=int(sys.argv[1]) if len(sys.argv)>1 else 80000
|
||
mt5.initialize(); sym=None
|
||
for c in ("SpotCrude","USOIL","WTI","XTIUSD"):
|
||
if mt5.symbol_info(c): sym=c; break
|
||
si=mt5.symbol_info(sym); point=si.point
|
||
bars=None
|
||
for req in (n,80000,60000,40000):
|
||
bars=mt5.copy_rates_from_pos(sym,mt5.TIMEFRAME_M5,0,req)
|
||
if bars is not None and len(bars)>2000: break
|
||
mt5.shutdown()
|
||
H=[float(b["high"]) for b in bars]; L=[float(b["low"]) for b in bars]
|
||
C=[float(b["close"]) for b in bars]; T=[int(b["time"]) for b in bars]
|
||
SP=[float(b["spread"])*point for b in bars] # echter Spread je Bar
|
||
EF=_ema_series(C,_EMA_FAST); ES=_ema_series(C,_EMA_SLOW); AT=_atr_series(H,L,C)
|
||
mid=len(C)//2; TH=_REVERSAL_STRETCH
|
||
def cost(i,atr): return (SP[i] if SP[i]>0 else 0.0225)/atr # in R
|
||
def collect(a,b):
|
||
out=[]
|
||
for i in range(max(a,_N_BARS), min(b,len(C)-_MAXH-1)):
|
||
atr=AT[i]
|
||
if not atr or atr<=0: continue
|
||
atr=max(atr,_ATRMIN); es=ES[i]; ef=EF[i]
|
||
stretch=(C[i]-es)/atr
|
||
ang=calc_trend_angle(C[i-_ANGLE_LR-2:i],_ANGLE_LR); ad=ang-90.0
|
||
d=0
|
||
if stretch<=-TH and ad>=_ANGLE_DEAD: d=1
|
||
elif stretch>=TH and ad<=-_ANGLE_DEAD: d=-1
|
||
elif abs(stretch)<_STRETCH_MAX: d=1 if ef>es else -1 if ef<es else 0
|
||
if not d: continue
|
||
R=simulate(C[i],d,atr,C[i]-d*_SL_ATR*atr,H,L,C,i+1)
|
||
out.append((i,d,atr,bhour(T[i]),R-cost(i,atr)))
|
||
return out
|
||
halves=[("H1 (alt)",_N_BARS,mid),("H2 (neu)",mid,len(C))]
|
||
EV={lbl:collect(a,b) for lbl,a,b in halves}
|
||
print("="*92)
|
||
print(f" ECHTE Kosten (Spread je Signal-Bar) — {sym} M5 ({len(C)} Bars)")
|
||
print("="*92)
|
||
|
||
# (1) Netto je Stunde, beide Hälften nebeneinander
|
||
print("\n(1) Netto-R je Berlin-Stunde (echte Kosten):")
|
||
print(f" {'Std':>3} {'H1 netto':>10} {'H2 netto':>10} beide negativ?")
|
||
night_neg=[]
|
||
for h in range(24):
|
||
cells=[]; neg=True
|
||
for lbl,_,_ in halves:
|
||
v=[x[4] for x in EV[lbl] if x[3]==h]
|
||
m=sum(v)/len(v) if v else 0.0
|
||
cells.append(f"{m:+.3f}(n{len(v)})")
|
||
if m>=0: neg=False
|
||
if neg: night_neg.append(h)
|
||
print(f" {h:>3} {cells[0]:>12} {cells[1]:>12} {'← NEG in beiden' if neg else ''}")
|
||
print(f" → in BEIDEN Hälften netto negativ: {night_neg}")
|
||
|
||
# (2) Gate-Politiken
|
||
print("\n(2) Gesamt-Netto-R je Politik:")
|
||
POL=[("Kein Gate",set()),("Nacht 0–7",set(range(0,8))),
|
||
("Nacht 0–7 + 12",set(range(0,8))|{12}),
|
||
("nur robust-negative",set(night_neg))]
|
||
for name,blk in POL:
|
||
cells=[]
|
||
for lbl,_,_ in halves:
|
||
kept=[x[4] for x in EV[lbl] if x[3] not in blk]
|
||
cells.append(f"ΣR{sum(kept):+8.0f} (n{len(kept)})")
|
||
print(f" {name:<22} {cells[0]:>24} {cells[1]:>24}")
|
||
|
||
# (3) breakout_k mit echten Kosten
|
||
print("\n(3) breakout_k mit echten Kosten (Kosten am Bestätigungs-Bar):")
|
||
for lbl,a,b in halves:
|
||
sigs=[(i,d,atr) for (i,d,atr,_,_) in EV[lbl]]
|
||
line=f" {lbl}: "
|
||
for k in (0.3,0.5,1.0):
|
||
Rs=[]
|
||
for (i,d,atr) in sigs:
|
||
e0=C[i]; level=e0+d*k*atr; invalid=e0-d*k*atr; je=None
|
||
for j in range(i+1, min(i+1+_CONFIRM_W, len(C)-_MAXH-1)):
|
||
if d>0:
|
||
if L[j]<=invalid: break
|
||
if H[j]>=level: je=j; break
|
||
else:
|
||
if H[j]>=invalid: break
|
||
if L[j]<=level: je=j; break
|
||
if je is None: continue
|
||
Rs.append(simulate(level,d,atr,level-d*_SL_ATR*atr,H,L,C,je+1)-cost(je,atr))
|
||
line+=f"k={k}: ΣR{sum(Rs):+7.0f}(n{len(Rs)},Ø{sum(Rs)/max(1,len(Rs)):+.3f}) "
|
||
print(line)
|
||
|
||
if __name__=="__main__":
|
||
main()
|