import pandas as pd daripada binance.client import AsyncClient dari datetime import datetime, timedelta import aiohttp import json def utc_to_local ((utc_dt):# menukar ke waktu Beijing local_tz = datetime.timezone ((datetime.timedelta ((hours=8)) local_dt = utc_dt.replace ((tzinfo=datetime.timezone.utc).astimezone ((local_tz)) return local_dt

Inisialisasi pelanggan Binance secara tidak seiring

async def init_client(): pelanggan = menunggu AsyncClient.create ((api_key=api_key, api_secret=api_secret)

return client

Mengambil data K-line secara tidak seiring

async def get_klines ((client, simbol, permulaan_waktu, akhir_masa, selang): klines = menunggu pelanggan.masa depan_klines ((symbol=symbol, interval=interval, startTime=start_time.timestamp() *1000, endTime=end_time.timestamp() *1000) df = pd.DataFrame ((klines, columns=[timestamp, open, high, low, close, volume, close_time, quote_asset_volume, number_of_trades, taker_buy_base_asset_volume, taker_buy_quote_asset_volume, ignore]) df[timestamp] = pd.to_datetime(df[timestamp], unit=ms) df[close_time] = pd.to_datetime(df[close_time], unit=ms) df.set_index ((timestamp, inplace=True) df.drop(kolom=[close_time, ignore], inplace=True) df = df.astype ((float) pulangan df

Menutup pelanggan Binance secara tidak selaras

async def close_client(client): menunggu pelanggan.close_connection()

Melakukan fungsi utama secara tidak selaras

async def main (: client = await init_client ((() # Dapatkan semua pasangan urus niaga kontrak USDT kekal exchange_info = tunggu pelanggan. symbols = [symbol_info [symbol] for symbol_info in exchange_info [symbols] if symbol_info [contractType] == PERPETUAL and symbol_info [quoteAsset] == USDT # Membuat bingkai data kosong df = pd.DataFrame ((columns=[Symbol,Open,High,Low,Close,Change,Volume]) df.set_index ((Symbol, inplace=True)

# 将所有交易对添加到 DataFrame 中
for symbol in symbols:
    df.loc[symbol] = [None] * len(df.columns)
# 遍历所有交易对
for symbol in symbols:
    # 设置起止时间
    start_time = datetime.utcnow() - timedelta(minutes=16)#开始时间为16分钟前
    end_time = datetime.utcnow()
    try:
   # 获取M15k线
        current_klines = await get_klines(client, symbol, end_time - timedelta(minutes=15), end_time, '15m')
    except Exception as e:
        Log(f"An error occurred: {e}")
        current_klines = []
    # 将数据存入 DataFrame
   # 更新对应的行
    df.loc[symbol, 'Open'] = current_klines['open'].iloc[-1]
    df.loc[symbol, 'High'] = current_klines['high'].iloc[-1]
    df.loc[symbol, 'Low'] = current_klines['low'].iloc[-1]
    df.loc[symbol, 'Close'] = current_klines['close'].iloc[-1]
    df.loc[symbol, 'Change'] = current_change
    df.loc[symbol, 'Volume'] = current_klines['volume'].iloc[-1]

# 关闭客户端
Log(df)
await close_client(client)

Jalankan prosedur tidak selaras

jikanama == ‘utama: import asyncioasyncio.run(terutama))

Tujuan adalah untuk mendapatkan data kejatuhan daripada semua mata wang kontrak terhadap M15.

Log ((df) berlaku selepas satu kali; iaitu, selepas satu kali mengemas kini semua simbol, data seperti harga berlaku: Traceback (most recent call last): File , line 1246, ininit_ctxFile , line 147, in TypeError: Object of type coroutine is not JSON serializable sys:1: RuntimeWarning: coroutine main was never awaited RuntimeWarning: Enable tracemalloc to get the object allocation traceback ChatGpt juga tidak berjaya, mohon bantuan.