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Ethereum: Get historical data from binance

Published by Terlumun Aondover on February 8th, 2025.

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Ethereum Historical Data Extraction From Binance API

As an ethereum developer, you are likely familiar with the importance of historical data for analysis and trading strategies. However, Extracting Accurate Historical Data from External Apis Like Binance can be Challenging due to various limitations.

The Problem: Limited Time Range

You’ve encountered a problem where your code is receiving only 3 items despite expecting around 700 records between [Current_Time – 2 years] and [Current_Time]. This discrepancance arises from the fact that historical data on Binance Typically has a much longer range than you are requesting.

WHY IT HAPPENS

There are severe reasons why this might be happening:

API Limitations : Binance Apis have rate limits, which can prevent excessive requests to avoid overloading their servers.

Data Caching

: External Apis Often Cache Historical Data For Performance and Reliability Reasons, which can lead to older records being returned before the requested time range.

Data format inconsistencies : Historical Data may be stored in different formats or structures, making it difficult to extract specific records.

Solutions

To overcome these challenges, consider the following solutions:

Ethereum: Get historical data from binance

1. Check Api Rate Limits

Ensure you’re not exceeding Binance’s API Rate Limits. You can do this by checking their documentation and monitoring your request count using tools like [Rate Limit Checker] (

`python



Import Requests

max_requests = 1000

Current_Time = DateTime.Now ()

While True:

    Try:

        Response = Requests.get (' params = {'symbol': 'eth', 'interval': '1d', 'start': int (current_time .Timestamp ()) - 86400, 'count': 70})

        If response.status_code == 200:

            break

    Except Exception As E:

        Print (f "Error: {e}")

2. Use Binance’s Historical Data Feature

Binance offers a historical data feature that allows you to retrieve data for any time period, including long -term ranges like [current_time – 2 years]. However, this feature might not be available or might require additional authentication.

`python



Import Requests



Set Your API Credentials and Other Parameters

api_key = 'your_api_key'

api_secret = 'your_api_secret'

symbol = 'eth'

interval = '1d'

Start_date = (DateTime.now ()-DateTime.TimeDelta (DAYS = 730)). StrfTime ('%Y-%M-%D')

end_date = (DateTime.now ()-DateTime.TimeDelta (DAYS = 365)). StrfTime ('%y-%M-%D')

Response = Requests.get (at https: //api.binance.com/api/v3/historicaldata (symbol, interval, start, end), ' 

                         Auth = (api_key, api_secret), headers = {'Limit': 100})

If response.status_code == 200:

    Print (Response.json ())

3. Use a Library or Framework

Considering using libraries like [pandas-datareader] ( (for python 3.x) or [yfinance] ( (for python 2.X), which provide more comprehensive and flexible data extraction capacities.

`python



Import pandas as pd

PD.Set_option ('display.max_columns', none)

symbol = 'eth'

Start_Date = DateTime.now ()-Timedelta (days = 730) .strftime ('%y-%m-%d')

end_date = (DateTime.now ()-DateTime.TimeDelta (DAYS = 365)). StrfTime ('%y-%M-%D')

DF = PD.READ_CSV (at https: //www.investing.com/indices/ {symbol} -historical-data.csv? Start = {start_date} & end = {end_date} ')

Print (df.head (70)) 

print the first 70 records