SniperGold_ML/ml/diag_price_levels.py

# -*- coding: utf-8 -*-
"""Cek level harga XAUUSD per tahun — deteksi diskontinuitas feed."""
import os
import numpy as np
import datetime as dt

BASE = os.path.normpath(os.path.join(os.path.dirname(os.path.abspath(__file__)),
                                     "..", "..", "..", "Files", "AlgoForge", "Data"))
for name in ("M15", "D1"):
    z = np.load(os.path.join(BASE, f"XAUUSD_{name}.npz"))
    t = z["time"].astype(np.int64)
    c = z["close"].astype(np.float64)
    yrs = np.array([dt.datetime.utcfromtimestamp(int(x)).year for x in t])
    print(f"=== {name} ===")
    for y in range(int(yrs.min()), int(yrs.max()) + 1):
        m = yrs == y
        cc = c[m]
        if len(cc) == 0:
            continue
        # lompatan max antar bar berurutan dalam tahun itu
        rr = np.diff(cc) / np.maximum(cc[:-1], 1e-12)
        jmp = float(np.max(np.abs(rr))) if len(rr) else 0.0
        print(f"  {y}: n={len(cc):6d} close min={cc.min():10.2f} "
              f"max={cc.max():10.2f} max|lompat|={jmp*100:6.2f}%")
    print()