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Here is a step-by-step guide on how to achieve this using Python and the Binance API:

Import the necessary libraries
import balance
from binance.client import Client

Set your API credentials
API_KEY = "YOUR_API_KEY"
API_SECRET = "YOUR_API_SECRET"

Create a client instance with your API credentials
client = client( api_key= API_KEY, api_secret= API_SECRET )

Define a function to compare strings in two dict lists
def Compare_strings_in_lists(list1, list2):
"""
Compare strings in two dict lists.
Args:
list1 (list): First list of dictionaries.
list2 (list): Second list of dictionaries.
Returns:
dict: Dictionary containing the results of the comparison.
"""

Initialize an empty dictionary to store comparison results
comparison_results = {}

Iterate through each item in lists 1 and 2
for item 1 in list 1:
for item 2 in list 2:

Compare the strings in both items
if str(item1["symbol"]).lower() == str(item2["symbol"]).lower():

If the strings are the same, add the "matching" key to the comparison results dictionary
comparison_results[str(item1["symbol"])] = {"item1": item1, "item2": item2}

Returns the comparison results dictionary
return comparison_results

Define the dictionary lists for USDT and BUSD market books
usdt_market_books = [
{
"symbol": "USDT",
"price": 100.0,
"volume": 10.0
},
{
"symbol": "USDT",
"price": 120.0,
"volume": 5.0
},
{
"symbol": "BUSD",
"price": 50.0,
"volume": 20.0
}
]
busd_market_books = [
{
"symbol": "USDT",
"price": 100.0,
"volume": 10.0
},
{
"symbol": "BUSD",
"price": 50.0,
"volume": 15.0
}
]

Call the Compare_strings_in_lists function with the dictionary lists for the USDT and BUSD market books
comparison_results = compare_strings_in_lists(usdt_market_books, busd_market_books)

Print the dictionary of comparison results
for currency, item1 in Compare_results.items():
print(f"{currency}: {item1['symbol']} - paired")

This code defines a function compare_strings_in_lists that takes two lists of dictionaries as input and returns a dictionary containing the results of the comparison. It iterates over each item in both lists, compares the strings in both items using string equality, and adds a “matching” key to the dictionary of comparison results if the strings are the same.

The code then defines two lists of dictionaries for the USDT and BUSD market books and calls the compare_strings_in_lists function with these lists. The resulting dictionary of comparison results is printed to the console.

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