$ETH

import matplotlib.pyplot as plt

import numpy as np

# Fibonacci retracement levels (for visual reference)

fib_levels = [0, 0.236, 0.382, 0.5, 0.618, 0.786, 1]

# ETH.D example range

eth_d_start = 7.87 # recent low

eth_d_end = 14.18 # projected pattern target

# Calculate Fibonacci levels between the range

fib_prices = [eth_d_end - (eth_d_end - eth_d_start) * level for level in fib_levels]

# Plot

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

plt.plot([eth_d_start, eth_d_end], [eth_d_start, eth_d_end], 'k--', alpha=0.3)

for i, level in enumerate(fib_levels):

plt.hlines(fib_prices[i], eth_d_start - 0.5, eth_d_end + 0.5, colors='blue', linestyles='--', alpha=0.5)

plt.text(eth_d_end + 0.6, fib_prices[i], f'{fib_prices[i]:.2f} ({level*100:.1f}%)', fontsize=10, va='center')

# Highlight important zones

plt.fill_between([eth_d_start, eth_d_end], 12.85, eth_d_end, color='orange', alpha=0.1, label='Major ETH Pump Zone')

plt.fill_between([eth_d_start, eth_d_end], eth_d_start, 11, color='green', alpha=0.1, label='Accumulation Zone')

plt.title('ETH.D Fibonacci Retracement & Breakout Zones', fontsize=14)

plt.xlabel('Timeline (ETH.D Movement)', fontsize=12)

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

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

plt.legend()

plt.tight_layout()

plt.show()