I’m going to walk you through the process of building a live streaming system for Ethereum on Binance using Python. We’ll break it down into steps, including generating a new symbol each time.

Step 1: Install the Necessary Libraries and Tools

You’ll need to install the following libraries:

• pandas for data manipulation

• numpy for numerical calculations

• matplotlib or seaborn for plotting graphs (optional)

• binance-api for interacting with the Binance API

You can install them using pip:

pip install pandas numpy matplotlib seaborn

Step 2: Set up your Binance account

Create a new account on Binance and generate an API key, secret key, and exchange name.

Step 3: Write the “get_symbol” function

This function will scan the market and generate a symbol for the highest paying coin. We will use the binance-api library to interact with the Binance API.

import pandas as pd
import numpy as np
from binance.client import client
from binance.exceptions import APIException









Set up your Binance API credentials
api_key = 'YOUR_API_KEY'
api_secret = 'YOUR_API_SECRET'

Create a new Binance client instance
client = Client(api_key=api_key, api_secret=api_secret)
definition of get_symbol(top_gainer_function):

Define the top gainer function
definition of get_top_gainer():

Scan the market and return the highest winning coin
symbol = 'BTCUSDT'
return symbol

Call the Top Gainer function to get the Top Gainer coin
top_gainer = get_top_gainer()
top_gainer_func(symbol)

Example usage:
get_symbol(top_gainer_func=top_gainer)

In this example, we define a function get_symbol that calls another function (top_gainer_func) to generate a symbol for the Top Gainer part. We use an anonymous function (get_top_gainer) as the return value of top_gainer_func. The get_symbol function is then called with this symbol.

Step 4: Create a schedule to call the “get_symbol” function

To run this script continuously, we will create a schedule using the schedule library. We will use the get_symbol function to generate a new symbol each time.

import schedule
import time
def get_symbol() :

Call the get_symbol function
gainer_top_function = 'gainer_top'
get_symbol(gainer_top_function=gainer_top_function)

Create a schedule to call the get_symbol function every 10 seconds
schedule.every(10).seconds.do(get_symbol)

Step 5: Run the script

Finally, we will run this script as a daemon using “multiprocessing” or “subprocess”.

import multiprocessing
definition main() :

Create a new Binance client instance
client = Client(api_key=api_key, api_secret=api_secret)
while True :
program.run_pending()
time.sleep(1)
if __name__ == '__main__':
multiprocessing.Process(target=get_symbol).start()

This will create a new process that runs the “get_symbol” function every 10 seconds.

That’s it! You now have a live streaming system for Ethereum on Binance using Python. When you run this script, it will call top_gainer_func to generate a token for the top gainer’s coin and display it in your chat or console.