forex historical csv data

Each symbol contains m15, m30, h1, h4, d1 data and the data length is 10 years.

Example

When reading csv files in python, the URL must be "raw.githubusercontent.com".

import pandas as pd

def get_forex_data(symbol: str, timeframe: str):
    """
    :param symbol: AUDJPY, AUDUSD, EURCHF, EURGBP, EURJPY, EURUSD, GBPJPY, GBPUSD, USDCAD, USDCHF, USDJPY, XAUUSD
    :param timeframe: m15, m30, h1, h4, d1
    :return: pandas DataFrame
    """
    symbol = symbol.upper()

    url = "https://raw.githubusercontent.com/ejtraderLabs/historical-data/main/"
    url += symbol + "/" + symbol + timeframe.lower() + ".csv"

    return pd.read_csv(url)



df = get_forex_data("EURUSD", "h1")

print(df.head())

                  Date      open      high       low     close  tick_volume
0  2012-11-16 00:00:00  127801.0  127835.0  127777.0  127810.0          869
1  2012-11-16 01:00:00  127809.0  127837.0  127686.0  127736.0         1408
2  2012-11-16 02:00:00  127738.0  127769.0  127706.0  127734.0         1285
3  2012-11-16 03:00:00  127738.0  127762.0  127673.0  127695.0         1210
4  2012-11-16 04:00:00  127694.0  127771.0  127641.0  127724.0         1487