49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import requests
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import pandas as pd
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from fake_useragent import UserAgent
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url = {
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"dukascopy": "https://data.deluxelau.com/api/v1.0/finance/getdata?"
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}
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#?instrument=usdcnh&startdate=2014-01-01&enddate=2014-12-31&timeframe=d1&pricetype=ask&utc=0&volume=false&flat=false
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def dukascopy(
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instrument: str,
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startdate: str,
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enddate: str,
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timeframe: str,
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pricetype: str,
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utc: int,
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volume: bool,
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flat: bool):
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tmp_url = url["dukascopy"]
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ua = UserAgent(verify_ssl=False)
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request_header = {"User-Agent": ua.random}
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request_params = {
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"instrument": "{}".format(instrument),
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"startdate": "{}".format(startdate),
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"enddate": "{}".format(enddate),
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"timeframe": "{}".format(timeframe),
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"utc": "{}".format(utc),
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"pricetype": "{}".format(pricetype),
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"volume": "{}".format(str(volume).lower()),
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"flat": "{}".format(str(flat).lower()),
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"token": "token=6dc8797f-aa4b-4b8c-b137-cfe9a9ace5a1"
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}
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r = requests.get(tmp_url, params=request_params, headers=request_header)
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output_file = r.json()
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return pd.json_normalize(output_file)
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# example:
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"""
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df = dukascopy(instrument = "usdcnh",
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startdate = "2014-01-01",
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enddate = "2020-01-01",
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timeframe = "m1",
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pricetype = "bid",
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utc = 0,
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volume = False,
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flat = False)
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""" |