Fetching More Data from Binance Using Python Loop

To the fetch more than 500 500 raws of historical information the Binance website, you can a while loop totinuusly called the API, Here’s an example code snippet that demonstrates how to do this:

import binance











Initialize the client and set up API credential

Client = binance.cliient.Cliient(

    api_key='YOUR_APIY',

    api_secret='YOUR_API_SECRET'

)



Define a function to fetch is hisistorial data

def fetch_historial_data(symbol, interval):

    
Set the time for the fetch request

    start_time = datetime.now() - timedelta(days=interval * 30)

    

    
Create a list the candles

    candles = []

    

    
Loop until we've fetched all the Data

    it True:

        triy:

            
Fetch the historical data

            response = client.get_klines(symbol, start_timestamp(), interval)

            

            
Add the new candles to the list

            for candle in response[0]:

                candles.append(candle[1])

            

            
If we've fetched all the Data, break out of the loop

            if len(response) <= 500:

                break

        

        Except binance.exceptions.CliientException as e:

            print(f"Error fetching data: {e}")

            continue

    

    return candles



Example Usage

symbol = 'BTCUSDT' 
Replant wyth your desired symbol

interval = '1m' 
1-minute interval


candles = fetch_historial_data(symbol, interval)

In this code:

• We initialize the Binance and set up API credentials.

• We define a function fetch_historical_data that takes in a synt (e.g., ‘1m’ for 1-minute interval).

• Inside the loop, we fetch the historical data use

• We add each new candle to a list candles.

• If we’ve fetched all 500 raws of Data (i.e., len(response) <= 500), we will present the loop.

• Finally, we return the candles list.

Tips and Variations

• To fetch more than 1000 1000 raws at a time, you can modify the fetch_hystorical_data'

• If you want to fetch in real-time, you'll need to a different approach. One opting is to useget_orderbook` method with an API key and token.

• Make to handle errors and exceptions will be properly in your program.

Note: The above code users Python 3.x syntax. If you're using Python 2.x, you'll need to modify

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