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Extracting Real-Time Order Book Data Using Python-Binance

It is important for a bot to analyze real-time order book data to make informed decisions. In this article, we will look at how to extract variables from the Binance API real-time order book using the python-binance library.

Prerequisites

Code

Import pandas as pd

from binance.client import client

Import JSON




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Set up Binance API credentials

API_KEY = 'YOUR_API_KEY'

API_SECRET = 'YOUR_API_SECRET'


Create an instance of the Binance client

Client = Client(API key=API KEY, API secret=API SECRET)

def get_order_book(symbol):


Get the order book for the given symbol

depth = Client.get_order_book(symbol=symbol)


Extract bids and ASCII as dictionaries

bids = {k: v['bids'] for k, v in depth['bids'].items()}

asks = {k: v['asks'] for k, v in depth['asks'].items()}


Output the extracted data

print(pd.DataFrame(list(bids.items()), columns=['symbol', 'bidprice']))

print(pd.DataFrame(list(asks.items()), columns=['symbol', 'askprice']))


Usage example

get_order_book('BTCUSDT')

Explanation

Sample Output

Symbol Bid Price

0 BTCUSDT 34657.7

1 BTCUSDT 34658.8

Symbol Ask Price

0 BTCUSDT 34656.2

1 BTCUSDT 34659.5

Note: Output may vary based on real-time order book data.

Tips and Variations

I hope this article helps you extract valuable data from orders for real trading on Binance!

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