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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:
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
By implementing these solutions, you should be able to extract historical data from Binance that meets your requirements.
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