feat: wavelets
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@@ -110,6 +110,48 @@ def wavelet_rolling(
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return result
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@router.get("/reliability")
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def wavelet_reliability_endpoint(
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symbol: str = Query("SPY"),
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period: str = Query("1y", description="how much of the causal output range to scan for turning points"),
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lookback: int = Query(130, ge=32),
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levels: int = Query(4, ge=2, le=6),
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wavelet: str = Query("gmw"),
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step: int = Query(1, ge=1),
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method: str = Query("cwt", description="cwt (default) or ssq"),
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smooth_days: int = Query(3, ge=1, le=10, description="lag used to smooth the slope before flagging a sign-change as a turning point"),
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tolerance_days: int = Query(5, ge=0, le=15, description="a hindsight reversal within this many days of the causal one still counts as confirming it"),
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confirm_horizon: int = Query(10, ge=1, le=30, description="how many extra days of real data the hindsight recomputation gets"),
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):
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"""For every reversal a live (causal, walk-forward) decomposition would have flagged,
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checks whether redoing the decomposition `confirm_horizon` days later still shows the
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same reversal — a per-band reliability score for the wavelet's turning-point signals."""
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from services.wavelet_engine import wavelet_reliability
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# Needs confirm_horizon extra real days beyond the requested causal output range, on
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# top of the usual lookback padding, so the most recent testable turning points aren't
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# silently dropped for lack of "future" data.
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values, dates, out_days = _fetch_padded_history(symbol, period, lookback + confirm_horizon)
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if len(values) < lookback + confirm_horizon + 32:
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raise HTTPException(400, "Historique insuffisant pour un test de fiabilité (32 points minimum au-delà de la fenêtre + horizon).")
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cutoff = (datetime.utcnow() - timedelta(days=out_days)).date().isoformat()
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start_idx = next((i for i, d in enumerate(dates) if d[:10] >= cutoff), None)
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if start_idx is None:
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raise HTTPException(400, "Pas de donnees dans la plage de trading demandee.")
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try:
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result = wavelet_reliability(
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values, dates,
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start_idx=start_idx, lookback=lookback,
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num_levels=levels, wavelet=wavelet, method=method, step=step,
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smooth_days=smooth_days, tolerance_days=tolerance_days, confirm_horizon=confirm_horizon,
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)
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except ValueError as exc:
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raise HTTPException(400, str(exc)) from exc
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return result
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# ── Saved simulation/optimization runs ────────────────────────────────────────
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class SimulationCreate(BaseModel):
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