Open kelon33 opened 6 months ago
phong-phuong
commented
6 months ago The client is using the testnet API.
To avoid this, set testnet = False when creating the client. This will then pull the real market prices.
client = Client(testnet=False)
kelon33
commented
6 months ago Thank you very much for the reply. The solution is simple, but I was unaware of the difference in prices over the testNET, so it eluded me. Thank you again.
בתאריך יום ו׳, 29 בדצמ׳ 2023, 1:56, מאת phong-phuong < @.***>:
The client is using the testnet API. To avoid this, set testnet = False when creating the client. This will then pull the real market prices. client = Client(testnet=False)
— Reply to this email directly, view it on GitHub https://github.com/sammchardy/python-binance/issues/1379#issuecomment-1871631396, or unsubscribe https://github.com/notifications/unsubscribe-auth/ALX46DEM7SQMJLJWG6OSEMLYLYBMTAVCNFSM6AAAAABAOYCG42VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQNZRGYZTCMZZGY . You are receiving this because you authored the thread.Message ID: @.***>
When using the get_klines function, the opening prices for symbols are often times inaccurate.
Code snippet to reproduce the behavior: import pandas as pd from dotenv import load_dotenv from binance.client import Client import os import datetime load_dotenv()
client = Client(api_key, api_secret, testnet=True) candles = client.get_klines(symbol='BNBUSDT', interval=Client.KLINE_INTERVAL_1HOUR) df = pd.DataFrame(candles) ts = df.iloc[-4][0]/1000 dt = datetime.datetime.fromtimestamp(ts) dt.strftime("%Y-%m-%d %H:%M:%S") open_price = [] for col in range(len(df.index)): open_price.append(df.iloc[col][1]) print(open_price[-4]) print(dt)
Expected to get accurate open price of a kline as shown on binance.
the code gives the result: 240.60000000 2023-12-10 17:00:00
While for the same time interval on binance, for the same kline, the price given is 240.3 and not 240.6. Similar inaccuracies happen with some of the other open prices.