Getting Binance Futures Data with Python Binance WebSocket Stream

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As an avid crypto enthusiast, you are probably 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 certain assets.

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

Prerequisites

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Before you start, make sure you have:

• Binance API Key (not included in this article)

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

• Basic understanding of programming in Python

Code

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

import requirements

import pandas as pd

from websocket import create_connection







Set your Binance API key (replace with yours)

API_KEY = 'YOUR_BINANCE_API_KEY'


def get_user_data(url):

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

    headers = {'Authorization': in Holder of {API_KEY}'}

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

    return response.json()


def get_coin_prices(ws_url, symbol):

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

    ws = create_link(ws_url)

    def callback(message):

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

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

            prices = []

            for an item in the 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 the extracted data

print("User data:")

for user in user_data:

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


print("\nCoin prices:")

for coins, 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 retrieves 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 waits 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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Be sure to handle errors properly in your production code. You can modify the get_user_data function to retrieve other types of data (e.g. market orders).

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

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

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