To fetch the high and low prices for each 15-minute interval using the Alice Blue Python API, you can follow these steps:



1. **Authenticate**:
   Authenticate yourself with the Alice Blue API by providing your API key or other authentication credentials.

2. **Fetch Historical Data**:
   Use the appropriate endpoint to fetch historical data for the desired instrument. Specify parameters such as the instrument symbol, interval (e.g., 15 minutes), start and end dates, and other relevant details.

3. **Extract High and Low Prices**:
   Iterate through the historical data to extract the high and low prices for each 15-minute interval.

4. **Handle Response**:
   Display or process the extracted high and low prices as needed.

Here's a basic example of how you might implement this in Python using the Alice Blue API:

```python

from alice_blue import *

# Replace 'YOUR_API_KEY' and 'YOUR_API_SECRET' with your actual API key and secret

API_KEY = 'YOUR_API_KEY'

API_SECRET = 'YOUR_API_SECRET'

# Authenticate with Alice Blue API

alice = AliceBlue(username=API_KEY, password=API_SECRET, access_token_path='access_token.json')

# Fetch historical data for a symbol (replace 'symbol' with the symbol of the instrument you want to fetch data for)

symbol = 'INFY'

interval = Interval.Minute15  # 15-minute interval

start_date = '2022-01-01'

end_date = '2022-12-31'

historical_data = alice.get_instrument_history(symbol, interval, start_date, end_date)

# Handle response

if historical_data:

    print('High and Low prices for each 15-minute interval:')

    for data in historical_data:

        timestamp = data['timestamp']

        high_price = data['high']

        low_price = data['low']

        print(f'Timestamp: {timestamp}, High: {high_price}, Low: {low_price}')

else:

    print('Failed to fetch historical data')

```

Please note that this is a basic example and may need to be adjusted based on the specific requirements of the Alice Blue API and your trading strategy. Additionally, ensure that you have appropriate permissions and access to historical data through the API.