Untitled

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

# Example data: Replace with your data
data = {
    'Date': pd.date_range(start='2023-12-01', periods=30),
    'Close': [100, 102, 101, 103, 105, 106, 107, 105, 104, 103, 
              102, 101, 100, 99, 98, 100, 102, 101, 99, 97,
              96, 95, 94, 95, 96, 97, 98, 99, 100, 101]
}
df = pd.DataFrame(data)

# Calculate support and resistance levels
def calculate_levels(prices):
    resistance = prices.max()
    support = prices.min()
    return support, resistance

support, resistance = calculate_levels(df['Close'])

# Plot the data
plt.figure(figsize=(12, 6))
plt.plot(df['Date'], df['Close'], label='Close Prices', color='blue', marker='o')

# Plot support and resistance lines
plt.axhline(y=support, color='green', linestyle='--', label=f'Support: {support}')
plt.axhline(y=resistance, color='red', linestyle='--', label=f'Resistance: {resistance}')

# Add labels and title
plt.title('Support and Resistance Levels')
plt.xlabel('Date')
plt.ylabel('Price')
plt.legend()
plt.grid()

# Show the graph
plt.show()