MetaTrader5 MCP Server

import pandas as pd import numpy as np try: from mtdata.utils.denoise import _denoise_series print("Import successful") except ImportError as e: print(f"Import failed: {e}") exit(1) def test_denoise_series_none(): s = pd.Series([1, 2, 3, 4, 5]) result = _denoise_series(s, method='none') pd.testing.assert_series_equal(s, result) print("test_denoise_series_none passed") def test_denoise_series_sma(): s = pd.Series([1, 2, 3, 4, 5]) result = _denoise_series(s, method='sma', params={'window': 3}) print(f"SMA result: {result.values}") # Expected: [?, 2.0, 3.0, 4.0, ?] depending on padding # utils.denoise: rolling(window=window, center=True, min_periods=1).mean() # 1: (1+2)/2 = 1.5 # 2: (1+2+3)/3 = 2.0 # 3: (2+3+4)/3 = 3.0 # 4: (3+4+5)/3 = 4.0 # 5: (4+5)/2 = 4.5 assert len(result) == 5 assert result.iloc[2] == 3.0 print("test_denoise_series_sma passed") def test_denoise_series_ema(): s = pd.Series([1, 2, 3, 4, 5]) result = _denoise_series(s, method='ema', params={'span': 3}) assert len(result) == 5 assert isinstance(result, pd.Series) print("test_denoise_series_ema passed") if __name__ == "__main__": try: test_denoise_series_none() test_denoise_series_sma() test_denoise_series_ema() with open("test_results.txt", "w") as f: f.write("SUCCESS") except Exception as e: with open("test_results.txt", "w") as f: f.write(f"FAILURE: {e}")