MetaTrader5 MCP Server

import numpy as np from mtdata.utils.patterns import _mass_distance_profile def _brute_zdist(query: np.ndarray, window: np.ndarray) -> float: q = np.asarray(query, dtype=float) w = np.asarray(window, dtype=float) qz = (q - q.mean()) / q.std() wz = (w - w.mean()) / w.std() return float(np.linalg.norm(qz - wz)) def test_mass_distance_profile_matches_bruteforce(): series = np.array([1.0, 2.0, 4.0, 3.0, 5.0, 7.0]) query = np.array([2.0, 4.0, 3.0]) dist_profile = _mass_distance_profile(query, series) assert dist_profile.shape[0] == len(series) - len(query) + 1 expected = [] for i in range(len(series) - len(query) + 1): window = series[i : i + len(query)] expected.append(_brute_zdist(query, window)) assert np.allclose(dist_profile, expected, atol=1e-6) def test_mass_distance_profile_handles_constant_query(): series = np.arange(10, dtype=float) query = np.ones(4, dtype=float) dist_profile = _mass_distance_profile(query, series) assert dist_profile.shape[0] == len(series) - len(query) + 1 assert np.all(np.isinf(dist_profile))