Cryptocurrency Volatility

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)
cryptos = ['BTC', 'ETH', 'SOL', 'ADA', 'DOT']
data = [
    np.random.lognormal(0.5, 0.8, 365) * 2,
    np.random.lognormal(0.6, 0.9, 365) * 2.5,
    np.random.lognormal(0.7, 1.0, 365) * 3,
    np.random.lognormal(0.65, 0.95, 365) * 2.8,
    np.random.lognormal(0.55, 0.85, 365) * 2.2
]

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor('#0a0a0f')
fig.patch.set_facecolor('#0a0a0f')

colors = ['#F5B027', '#4927F5', '#27F5B0', '#276CF5', '#F5276C']
bp = ax.boxplot(data, widths=0.55, patch_artist=True, showfliers=False,
                medianprops=dict(color='white', linewidth=2))

for patch, color in zip(bp['boxes'], colors):
    patch.set_facecolor(color)
    patch.set_alpha(0.8)
    patch.set_edgecolor(color)
for i, color in enumerate(colors):
    bp['whiskers'][i*2].set_color(color)
    bp['whiskers'][i*2+1].set_color(color)
    bp['caps'][i*2].set_color(color)
    bp['caps'][i*2+1].set_color(color)

ax.set_xticklabels(cryptos)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#333333')
ax.spines['bottom'].set_color('#333333')
ax.yaxis.grid(True, color='#1a1a2e', linewidth=0.5, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors='#888888', labelsize=9, length=0, pad=8)
ax.set_ylabel('Daily Volatility (%)', fontsize=11, color='white', fontweight='500')
ax.set_title('Cryptocurrency Daily Volatility', fontsize=14, color='white', fontweight='bold', pad=15)

plt.tight_layout()
plt.show()