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import krakenex
import pandas as pd
import datetime

k = krakenex.API(API_KEY, API_SECRET)

def get_funding_rates(start_time=None, end_time=None):
"""Retrieves funding rate history from Kraken.

Args:
start_time: Optional start time (datetime object or timestamp). Defaults to 7 days ago.
end_time: Optional end time (datetime object or timestamp). Defaults to now.

Returns:
pandas.DataFrame: DataFrame containing funding rate history, or None if error.
"""

if end_time is None:
end_time = datetime.datetime.utcnow()  # Now
if start_time is None:
start_time = end_time - datetime.timedelta(days=7)  # 7 days ago

if isinstance(start_time, datetime.datetime):
start_time = int(start_time.timestamp())
if isinstance(end_time, datetime.datetime):
end_time = int(end_time.timestamp())

try:
params = {"start": start_time, "end": end_time}
result = k.query_private('Ledger', params)  # Use Ledger API

if result['error']:
print(f"Kraken API Error: {result['error']}")
return None

ledger_entries = result['result']
funding_entries = []

for key, entry in ledger_entries.items():
if entry['type'] == 'funding':  # Filter for funding transactions
funding_entries.append(entry)

df = pd.DataFrame(funding_entries)

if not df.empty:
# Convert timestamp to datetime
df['time'] = pd.to_datetime(df['time'], unit='s')
df = df.set_index('time') #set time as index
df = df.sort_index() #sort by time
return df
else:
print("No funding data found for the specified period.")
return pd.DataFrame()  # Return empty DataFrame

except Exception as e:
print(f"An error occurred: {e}")
return None
< /code>
Die Fehlermeldung < /p>
An error occurred: 404 Client Error:
Not Found for url: https://api.kraken.com/0/private/Ledg