Solana
2024-11-25

import matplotlib.pyplot as plt
import numpy as np

# Generate sample data for the SOL price trend
dates = np.array( )
prices = np.array( )

# Define support and resistance levels
support = 220
resistance = 270

# Create the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, prices, marker='o', label="SOL Price", color='blue', linestyle='-', linewidth=2)
plt.axhline(support, color='green', linestyle='--', label=f'Support: {support} USD')
plt.axhline(resistance, color='red', linestyle='--', label=f'Resistance: {resistance} USD')

# Add labels and title
plt.title('Price Trend of Solana (SOL) - November 2024', fontsize=14)
plt.xlabel('Date', fontsize=12)
plt.ylabel('Price (USD)', fontsize=12)
plt.xticks(rotation=45)
plt.legend()

# Show the plot
plt.tight_layout()
plt.show()