Neelesh2005

import json
import numpy as np
from datetime import datetime, timedelta
from scipy.interpolate import RegularGridInterpolator

sample_json_data = '''[
      {
        "timestamp": "2025-08-25T16:50:00Z",
        "underlying_symbol": "NIFTY",
        "underlying_price": 24967.75,

Neelesh2005

import yfinance as yf
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Function to calculate the Stochastic Oscillator
def calculate_stochastic(data, n=14, smoothing=3):
    """
    Calculate the Stochastic Oscillator (%K and %D).
    - n: Lookback period for the high-low range.

Neelesh2005

import numpy as np
import yfinance as yf
import matplotlib.pyplot as plt

# Define stocks and time period
stocks = ['AAPL', 'GOOGL', 'MSFT']
start_date = '2020-01-01'
end_date = '2023-01-01'

# Download historical adjusted close prices