I’ll walk you through creating a live streaming system for Ethereum on Binance using Python. We’ll break it down into a few steps, including generating a new symbol each time.
Step 1: Install the required libraries and tools
You’ll need to install the following libraries:
pandas for data manipulation
numpy for numerical calculations
matplotlib or seaborn for charting (optional)
binance-api for interacting with the Binance API
You can install these 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 analyze the market and generate the highest winning coin symbol. We will use the binance-api library to interact with the Binance API.
Call the top gainer function to get the top gainer gainer
top_gainer = get_top_gainer()
top_gainer_func(symbol)
Usage example:
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. As the return value of top_gainer_func, we use an anonymous function (get_top_gainer). Then, with this symbol, the function get_symbol is called.
Step 4: Create a schedule for calling the get_symbol function
To run this script continuously, we will create a schedule using the schedule library. Each time, we will use the get_symbol function to generate a new symbol.
import schedule
import time
define get_symbol():
Call get_symbol
top_gainer_func = 'top_gainer'
get_symbol(top_gainer_func = top_gainer_func)
Schedule get_symbol to be called every 10 seconds
schedule.every(10).seconds.execute(get_symbol)
Step 5: Run the script
Finally, we will run this script as a daemon, using multiprocessing or subprocess.
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 this script runs, the top_gainer_func function will be called to generate the coin symbol with the highest win and display it in the chat or console.
Ethereum: how to make live stream function works with a generated variable each time?
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I’ll walk you through creating a live streaming system for Ethereum on Binance using Python. We’ll break it down into a few steps, including generating a new symbol each time.
Step 1: Install the required libraries and tools
You’ll need to install the following libraries:
pandas
for data manipulationnumpy
for numerical calculationsmatplotlib
orseaborn
for charting (optional)binance-api
for interacting with the Binance APIYou can install these using pip:
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
functionThis function will analyze the market and generate the highest winning coin symbol. We will use the
binance-api
library to interact with the Binance API.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. As the return value oftop_gainer_func
, we use an anonymous function (get_top_gainer
). Then, with this symbol, the functionget_symbol
is called.Step 4: Create a schedule for calling the
get_symbol
functionTo run this script continuously, we will create a schedule using the
schedule
library. Each time, we will use theget_symbol
function to generate a new symbol.Step 5: Run the script
Finally, we will run this script as a daemon, using
multiprocessing
orsubprocess
.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 this script runs, the
top_gainer_func
function will be called to generate the coin symbol with the highest win and display it in the chat or console.blockchain flow solutions