Extracting Ethereum (ETH) Futures Data with Binance’s Python API

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As a developer, it’s exciting to leverage the power of programming languages like Python to access and manipulate financial market data. In this article, we’ll demonstrate how to extract Ethereum (ETH) futures price information using the official Binance Python API.

Prerequisites

Before you begin, ensure you have:

• A Binance account and verified your account.

• The necessary libraries installed: requests for making HTTP requests and pandas for data manipulation.

• Familiarity with basic Python programming concepts.

Setting up the Project

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Create a new Python file (e.g., ethusdt_extractor.py) and add the following code:

import requests

import pandas as pd



Binance API endpoint URL

BINANCE_API_URL = "


def extract_eth_usdt():

    
Set your API credentials (API key, secret, account balance)

    api_key = "YOUR_API_KEY"

    api_secret = "YOUR_API_SECRET"

    account_balance = 10000


    
Construct the API request URL

    params = {

        "symbol": "ETHUSDT",

        "side": "bid",

        "type": "marketData"

    }

    params.update({

        "interval": "1m"  
Quarter hour interval

    })


    headers = {

        "X-MBX-APIKEY": api_key,

        "X-MBX-SECRET-KEY": api_secret

    }


    response = requests.get(BINANCE_API_URL, params=params, headers=headers)


    if response.status_code == 200:

        data = response.json()

        df = pd.DataFrame(data["data"]["marketData"])


        
Convert date column to datetime format

        df["date"] = pd.to_datetime(df["timestamp"], unit="ms")


        return df

    else:

        print(f"Error: {response.status_code}")

        return None


if __name__ == "__main__":

    df = extract_eth_usdt()

    if df is not None:

        print(df.head())

How it Works

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• We define the Binance API endpoint URL and set up our API credentials.

• We construct a JSON payload with the required parameters (symbol, side, type).

• We add the interval parameter to specify quarter hour data.

• We send the request using the requests library.

• If successful, we parse the response as JSON and create a Pandas DataFrame from it.

• We convert the date column to datetime format for easier analysis.

Running the Script

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Save the script with the above code and run it using Python (e.g., python ethusdt_extractor.py). The script will output the extracted data in a Pandas DataFrame.

Tips and Variations

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• To adjust the interval, modify the interval parameter in the API request URL.

• To filter by specific time ranges, use the start_time and stop_time parameters when creating the JSON payload.

• Consider adding error handling for API rate limiting or other potential issues.

By following this article, you should now be able to extract Ethereum futures price information using the Binance Python API. Happy coding!

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