$ETH

target 4100

target 4500

target 4800

import matplotlib.pyplot as plt

# Data for ETH.D and expected ETH price

eth_d_levels = [9.5, 11, 12.85, 14]

eth_prices = [3100, 3600, 4200, 4800]

plt.figure(figsize=(10, 6))

plt.plot(eth_d_levels, eth_prices, marker='o', linestyle='-', color='purple', linewidth=2, markersize=8)

plt.title('ETH Price Projection Based on ETH.D Levels (Historical Correlation)', fontsize=14)

plt.xlabel('ETH Dominance (%)', fontsize=12)

plt.ylabel('Estimated ETH Price (USD)', fontsize=12)

plt.grid(True, linestyle='--', alpha=0.6)

plt.xticks(eth_d_levels)

plt.yticks(eth_prices)

plt.annotate('$3,100', xy=(9.5, 3100), xytext=(9.3, 3200),

arrowprops=dict(facecolor='green', arrowstyle='->'), fontsize=10)

plt.annotate('$3,600', xy=(11, 3600), xytext=(10.8, 3700),

arrowprops=dict(facecolor='blue', arrowstyle='->'), fontsize=10)

plt.annotate('$4,200', xy=(12.85, 4200), xytext=(12.6, 4300),

arrowprops=dict(facecolor='orange', arrowstyle='->'), fontsize=10)

plt.annotate('$4,800', xy=(14, 4800), xytext=(13.7, 4900),

arrowprops=dict(facecolor='red', arrowstyle='->'), fontsize=10)

plt.tight_layout()

plt.show()