Running Ethereum Functions Simultaneously with Binance-Connector and WebSockets

In this article, we will demonstrate how to create a Python program that runs multiple functions simultaneously, utilizing the binance-connector library for creating orders on the Ethereum blockchain and the unicorn-binance-websocket-api for real-time data streaming.

Prerequisites

  • Install the required libraries:

pip install binance-connector unicorn-binance-websocket-api

  • Replace YOUR_BNB_API_KEY, YOUR_BNB_API_SECRET, and YOUR_ORDER_ID with your actual Binance API credentials and order ID.

Code

import asyncio

from binance connector import Client

from unicorn_binance_websocket_api import BinanceWebsocketAPI


Set up the Ethereum client

eb = Client()

eb.load_secret_key_from_file('path/to/secret.key')


Set up the WebSocket connection

wsa = BinanceWebsocketAPI(eb, 'BTCUSDT', 'streaming')

async def create_order():


Create a new order with binance-connector

data = {

"side": "buy",

"type": "limit",

"time_in_force": "gtc",

"quantity": 10,

"price": 10000.0

}

result = await eb.place_order(data)

print(f"Created order: {result}")

async def get_order_status():


Get the status of the created order using user data socket streaming

async for message in wsa.get_messages():

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


Assuming an 'order' object is stored in the message

print(f"Order ID: {message['data']['id']} - Status: {'success' if message['data']['state'] == 2 else 'failed'}")

async def main():

await create_order()

await get_order_status()

asyncio.run(main())

Explanation

  • The create_order function uses binance-connector to place a new order on the Ethereum blockchain.

  • The get_order_status function uses WebSocket streaming to retrieve the status of the created order from Binance’s user data API.

  • In the main function, we first create an order using create_order. Then, we run the get_order_status function in an asynchronous loop.

Running the Code

Save this code as a Python file (e.g., eth_order.py) and execute it with python eth_order.py.

Note: This is just a basic example to demonstrate how to run multiple functions simultaneously. In a real-world scenario, you would likely want to handle errors and exceptions more robustly.

Advice

Ethereum: python program running functions simultaneously instead of running sequentially

  • Make sure to replace the placeholder values ​​in the code with your actual Binance API credentials and order ID.

  • Consider implementing error handling and exception management to ensure your program remains stable and reliable.

  • You may need to modify the get_order_status function to match the structure of the data returned by Binance’s user data API.

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