コード

データの取得

from datetime import datetime
import time

import requests
import pandas as pd

url = "https://api.bybit.com/v5/market/kline"
symbol = "BTCUSDT"
# spot,linear,inverse
category = "linear"
# 1,3,5,15,30,60,120,240,360,720,D,M,W
interval = 15

timestamp = int(time.time())
values = []

while True:
    params = {
        "symbol": symbol,
        "interval": interval,
        "category": category,
        "start": (timestamp - 200 * 60 * interval) * 1000,
        "end": timestamp * 1000,
        "limit": 200
    }

    response = requests.get(url, params=params)
    response_data = response.json()

    if len(response_data["result"]["list"]) == 0:
        break

    values += response_data["result"]["list"]
    timestamp -= 200 * 60 * interval

data = pd.DataFrame(values)
data.to_csv(f"bybit_{symbol}_{category}_{interval}.csv", index=False)

取得したデータ

取得したデータの整形

data = pd.read_csv(f"bybit_{symbol}_{category}_{interval}.csv")

# カラム名を修正
data.columns = ["timestamp", "open", "high", "low", "close", "volume", "turnover"]
# タイムスタンプをdatetime型に変換
data["datetime"] = (data['timestamp'].astype(int)/1000).apply(datetime.fromtimestamp)
# 昇順に並び替え
data.sort_values("datetime", inplace=True)
# "datetime"をインデックスに設定
data.set_index("datetime", inplace=True)

整形後のデータ