27 lines
1.3 KiB
Python
27 lines
1.3 KiB
Python
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# -*- coding: utf-8 -*-
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import numpy as np
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import datetime as dt
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z = np.load(r"D:\TradingTerminal\HFM Metatrader 5\MQL5\Files\AlgoForge\Data\XAUUSD_H1.npz")
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ht = z["time"].astype(np.int64)
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t0 = int(dt.datetime(2026, 2, 15, tzinfo=dt.timezone.utc).timestamp())
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t1 = int(dt.datetime(2026, 2, 18, tzinfo=dt.timezone.utc).timestamp())
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m = (ht >= t0) & (ht <= t1)
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sel = ht[m]
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d = np.diff(sel)
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print("H1 bars 02-15..02-18:", len(sel))
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for i, g in enumerate(d):
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if g != 3600:
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print(" gap:", dt.datetime.fromtimestamp(int(sel[i]), dt.timezone.utc),
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"->", dt.datetime.fromtimestamp(int(sel[i + 1]), dt.timezone.utc),
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"delta(h)=", g / 3600)
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t2026 = int(dt.datetime(2026, 1, 1, tzinfo=dt.timezone.utc).timestamp())
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d2 = np.diff(ht[ht >= t2026])
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print("unique non-hourly gaps 2026:", np.unique(d2[d2 != 3600]))
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# cek juga: bar ke-51 terbaru dari e_ea (20:00 02-16) dalam indeks npz vs cache
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e = int(np.searchsorted(ht, int(dt.datetime(2026, 2, 16, 20, tzinfo=dt.timezone.utc).timestamp())))
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print("e_ea idx:", e, dt.datetime.fromtimestamp(int(ht[e]), dt.timezone.utc))
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print("e_ea-50 idx:", e - 50, dt.datetime.fromtimestamp(int(ht[e - 50]), dt.timezone.utc))
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# bar ke-51 terbaru secara KALENDER (51 bar terakhir sebelum e_ea inklusif? bars[50] = 51st newest)
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# cache bars[0]=e_ea, bars[50] = 50 bar lebih tua dari e_ea = npz index e-50 (asumsi dens)
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