forked from airat77786/MQL5Book
35 lines
1.6 KiB
Python
35 lines
1.6 KiB
Python
 | #+------------------------------------------------------------------+
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#| copyticks.py |
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#| Copyright 2022, MetaQuotes Ltd. |
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#| https://www.mql5.com |
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#+------------------------------------------------------------------+
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import MetaTrader5 as mt5
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import pandas as pd
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import pytz
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from datetime import datetime
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# подключаемся к терминалу
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if not mt5.initialize():
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print("initialize() failed, error code =", mt5.last_error())
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quit()
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# зададим имя файла для сохранения в "песочницу"
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path = mt5.terminal_info().data_path + r'\MQL5\Files\MQL5Book\copyticks.html'
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# копируем 1000 тиков EURUSD с конкретного момента в истории
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utc = pytz.timezone("Etc/UTC")
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rates = mt5.copy_ticks_from("EURUSD", datetime(2022, 5, 25, 1, 15, tzinfo = utc), 1000, mt5.COPY_TICKS_ALL)
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bid = [x['bid'] for x in rates]
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ask = [x['ask'] for x in rates]
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time = [x['time'] for x in rates]
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time = pd.to_datetime(time, unit = 's')
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# завершим подключение к терминалу
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mt5.shutdown()
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# подключаем графический пакет и рисуем 2 ряда цен ask и bid в веб-странице
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import plotly.graph_objs as go
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from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
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data = [go.Scatter(x = time, y = bid), go.Scatter(x = time, y = ask)]
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plot(data, filename = path)
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#+------------------------------------------------------------------+
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