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Ethereum: Split Comma Separated Values ​​into Variables in Python

Live Trading Order Book Data Extraction with Python-Binance

As a live trading bot, it’s essential to analyze order book data to make informed decisions. In this article, we’ll explore how to extract variables from a Binance API live trading order book using the python-binance library.

Prerequisites

  • Install the required libraries: python-binance, pandas, and numpy

  • Set up your Binance API credentials

  • Run the script in a local environment or use the binance-api-client CLI tool

Code

import pandas as pd

from binance.client import Client

import json




Ethereum: Split values separated by commas into variables in Python

Set up Binance API credentials

API_KEY = 'YOUR_API_KEY'

API_SECRET = 'YOUR_API_SECRET'


Create a Binance client instance

client = Client(api_key=API_KEY, api_secret=API_SECRET)

def get_order_book(symbol):


Get the order book for the specified symbol

depth = client.get_order_book(symbol=symbol)


Extract the bids and asks as dictionaries

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

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


Print the extracted data

print(pd.DataFrame(list(bids.items()), columns=['Symbol', 'Bid Price']))

print(pd.DataFrame(list(asks.items()), columns=['Symbol', 'Ask Price']))


Example usage

get_order_book('BTCUSDT')

Explanation

  • We set up our Binance API credentials using the binance-api-client CLI tool.

  • We create a Binance client instance with our API credentials.

  • The get_order_book() function retrieves the order book for the specified symbol (symbol) from the Binance API.

  • We extract the bids and asks as dictionaries using dictionary comprehensions.

  • Finally, we print the extracted data in a pandas DataFrame.

Example Output

Symbol Bid Price

0 BTCUSDT 34657.7

1 BTCUSDT 34658.8

Symbol Ask Price

0 BTCUSDT 34656.2

1 BTCUSDT 34659.5

Note: The output may vary depending on the live trading order book data.

Tips and Variations

  • To extract variables other than bids and asks, you can modify the dictionary comprehensions to suit your needs.

  • If you need to process additional data from the API, such as candlestick prices or chart information, be sure to explore the Binance API documentation.

  • Be mindful of API rate limits and usage guidelines when collecting live trading order book data.

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

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