Ethereum: Current Futures Price on Binance Exchange (Real-Time) in Python

I can provide you with an example of Python code that uses the “request” library to retrieve real-time data and the “pandas” library to process the data. Please note that this is a simple example and may not cover all edge cases.

import requests

import pandas pd

def get_realtime_data():

url = "







Ethereum: The current price of the futures on the Binance exchange (in real time) in Python

Get real-time XRP/USDT data on Binance exchange every 1 minute

response = requests.get(url)

if response.statuscode == 200:

return pd.DataFrame(response.json())

else:

print("Failed to retrieve data")

return None

def check_price_change(data):

if not data.empty:


Calculate price change

pricechange = (data['4. close'] - data['1. open']) / data['1. open']


Check if the price has changed by 1%

if abs(price_change) > 0.01:

print(f"XRP/USDT futures have changed by {price_change*100}%")

else:

print("XRP/USDT futures are unchanged.")

return None


Get real-time data

data = get_realtime_data()

check_price_change(data)

if data is None:


Print the current price and other relevant data

print(f"Current price: {data['4. close'][0]}")

In this code:

  • We define two functions, “get_realtime_data()” and “check_price_change()”, which handle retrieving real-time Binance data and checking price changes.
  • The function `get_realtime_data()'' sends a GET request to the specified API URL with the required parameters (symbol, time interval) to retrieve the real-time data of XRP/USDT from Binance exchange every 1 minute.
  • If successful, it returns a pandas DataFrame containing the real-time data. Otherwise, it prints an error message and returnsNone''.
  • The functioncheck_price_change()'' calculates the price change by subtracting the open from the close price for each row of the DataFrame. It then checks whether the absolute value of the price change is greater than 1%. If so, it prints a message indicating that XRP/USDT futures have changed.
  • Finally, we use theget_realtime_data()'' function to retrieve the real-time data and pass the result to`check_price_change()” function for price checking.

To run this code, you need to install the required libraries by running “pip install requests pandas”. The Binance API requires you to set up a valid Binance API ID before using it. You can obtain one from the [Binance Developer Portal](


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