import panda sebagai pd dari binance.client import AsyncClient dari datetime import datetime, timedelta import aiohttp import json def utc_to_local ((utc_dt):# Konversi ke waktu Beijing local_tz = datetime.timezone ((datetime.timedelta ((hours=8)) # perbedaan waktu zona delapan timur local_dt = utc_dt.replace ((tzinfo=datetime.timezone.utc).astimezone(local_tz) return local_dt

Inisialisasi Asynchronous pada klien Binance

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

return client

Mendapatkan data K-line secara asinkron

async def get_klines ((klien, simbol, start_time, end_time, interval): klines = menunggu client.futures_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) kembali df

Menutup klien Binance secara asinkron

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

Mengeksekusi fungsi utama secara asinkron

Async def main (: client = tunggu init_client # Dapatkan semua pasangan transaksi kontrak USDT permanen exchange_info = menunggu klien.futures_exchange_info symbols = [symbol_info [symbol] for symbol_info in exchange_info [symbols] if symbol_info [contractType] == PERPETUAL and symbol_info [quoteAsset] == USDT] # Membuat DataFrame 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 Async

Jikanama == ‘utama: Asyncio imporasyncio.run(main))

Tujuannya adalah untuk mendapatkan data penurunan mata uang kontrak terhadap M15

Log ((df) setelah satu kali akan mengalami kesalahan; yaitu setelah satu kali memperbarui semua simbol harga dan data lainnya: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 main tidak pernah ditunggu ChatGpt juga tidak berhasil, mohon bantuannya.