Ethereum: Get historical data from binance
Ethereum Historical Data Extraction Form Binance API
As an Ethereum developer, you’re like importance off historical data for analysis and string strategies. Howver, Extracting Accureate Historical Data Forrom APIs like Binance can be challenging due to various limitations.
The Problem: Limited Time Range
You’ve Encountered a Problem Whether Your Code Receiving Only 3 Items Despite Expert Arounds 700 Records Between – 2-Toars] and [current_time]. The this discrepancy arise from the fact that historical data is Binance tylly has a much longery these what you’re proposal.
Wy It Happens
There are several reasons with why this might behalppening:
- API limitations: Binance API has been rafted limits, which- can-off excessive requests to open their servers.
- Data caching: External APIs from the historical data for the performance and reliability reasons, which can-be-being being returned the the requested time rank.
- Data forms inconsistcies: Historical data may be stimulated in different formats or structures, making it difcult to extract spec Records.
Solution
Tools, Consider The the Following Solutions:
1. Check API Rate Limits
Ensure you’re not exceeding Binance’s API rate limits. You can do this by checking your documentation and monitoring
`python
import proposals
max_requests = 1000
current_time = dating.now()
while True:
try:
response = requests.get('/aptps://ap.binisance.com/av3/clinine', params={'symbol': 'Eterval': '1D', 'start': int(urrrent_time .timestamp()) - 86400, 'count': 70})
if response.status_code == 200:
break
except Except as e:
print(f"Error: {e}")
2.
Binance offers a historical data feature that allows you to retrieved data for the time period, including long-term rankings like [curarent_time - 2 years]. However, this feature might not be awailable or might require addi ional authenication.
python
import proposals
Set your API Creditials and Other Paramers
api_key = 'YOUR_API_KEY'
api_secret = 'YOUR_API_SECERT'
symbol = 'ETH'
interval = '1D'
Start_date = (datame.now() - dating.timedet(days=730)).strfte ('%-%m--d')
end_date = (datame.now() - dating.time.timedel(days=365)).strftime('%Y-%d')
response = requests.get(f' interval, start, end)',
auth=(api_key, api_secret), headers={'limit': 100})
if response.status_code == 200:
print(response.json())
3.
Consider esting librarys like [pandas daranger]( (for Python 3.x)/ 2.x), which provide more comprehensive and flexible data extraction capability.
python
import in pand as pd
pd.set_option('display.max_columns', None)
symbol = 'ETH'
start_date = date.now() - timedel(days=730).strfte('%-%d')
end_date = (datame.now() - dating.time.timedel(days=365)).strftime('%Y-%d')
df = pd.read_csv(f' dat.start={start_date}&end={end_date})
Print.head(70))
Print the for 70 Records
“
By implementing these soluitions, you shuold be-to extract historial data from Binance that meets your requirements.
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