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Getting Binance Futures Data with Python Binance WebSocket Stream

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As an enthusiastic crypto enthusiast, you’re likely no stranger to the world of decentralized trading and cryptocurrency markets. However, navigating the complexities of Binance’s websocket API can be daunting, especially when it comes to extracting specific data for a particular asset.

In this article, we’ll walk you through creating a Python code snippet that utilizes the Binance WebSocket API to pull user data and coin prices from a live stream. This example will demonstrate how to accomplish this using the popular requests library for making HTTP requests and pandas for data manipulation.

Prerequisites

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Before you begin, make sure you have:

• A Binance API key (not included in this article)

• The required libraries installed: requests, pandas, and websocket-client (pip install requests websocket-client)

• A basic understanding of Python programming

The Code

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Here’s the code snippet that extracts user data and coin prices from a live Binance WebSocket stream:

import requests

import pandas and pd

from websocket import create_connection



Set your Binance API key (replace with your own)

API_KEY = 'YOUR_BINANCE_API_KEY'


do get_user_data(url):

    """Get user data from the specified URL"""

    headers = {'Authorization': f'Bearer {API_KEY}'}

    response = requests.get(f' params={'symbol': 'BTCUSDT'})

    return response.json()


def get_coin_prices(ws_url, symbol):

    """Get coin prices from the Binance WebSocket stream""

    ws = create_connection(ws_url)

    execute callback(message):

        if message['type'] == 'message':

            data = json.loads(message.decode())

            prices = []

            for item in data:

                price = float(item['data']['price'])

                prices.append(price)

            return pd.DataFrame(prices).to_dict()

    ws.subscribe(symbol, callback=callback)

    ws.close()



Get user data and coin prices

ws_url = 'wss://binance.com/ws/2'

symbol = 'BTCUSDT'


user_data = get_user_data(ws_url)

coin_prices = get_coin_prices(ws_url, symbol)



Print extracted data

print("User Data:")

for user in user_data:

    print(user['id'], user['Symbol'])


print("\nCoin Prices:")

for coin, prices in coin_prices.items():

    print(f"{coin}: {prices}")

Explanation

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This code consists of two main functions: get_user_data and get_coin_prices. The first function fetches user data from the Binance API using the specified URL. It then uses a callback function to parse the received JSON data.

The second function creates a Binance WebSocket connection using the create_connection function from websocket-client. It subscribes to the specified symbol (in this case, BTCUSDT) and listens for new messages. When a message is received, it extracts the relevant data (price) and returns it as a dictionary. Finally, it closes the WebSocket connection.

Tips and Variations

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• Make sure to handle errors properly in your production code.

• You can modify the get_user_data function to fetch other types of data (e.g., market orders).

• Experiment with different symbols and time frames to see how they affect the extracted data.

• Consider using a more robust error handling approach, such as logging errors or raising exceptions.

By following this example code, you should be able to successfully retrieve user data and coin prices from a Binance WebSocket stream. Happy trading!