Cryptocurrency Daily Returns

import matplotlib.pyplot as plt
import numpy as np
from scipy import stats

np.random.seed(1212)

coins = ['Bitcoin', 'Ethereum', 'Solana', 'Cardano', 'Polygon', 'Avalanche']
colors = ['#F5B027', '#276CF5', '#9C2007', '#27D3F5', '#4927F5', '#F5276C']

data = {
    'Bitcoin': np.random.normal(0, 3, 600),
    'Ethereum': np.random.normal(0, 4, 600),
    'Solana': np.random.normal(0, 7, 600),
    'Cardano': np.random.normal(0, 6, 600),
    'Polygon': np.random.normal(0, 5.5, 600),
    'Avalanche': np.random.normal(0, 6.5, 600)
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

overlap = 1.7
x_range = np.linspace(-25, 25, 300)

for i, (coin, returns) in enumerate(data.items()):
    kde = stats.gaussian_kde(returns, bw_method=0.25)
    y = kde(x_range) * 4
    baseline = i * overlap
    
    for w, a in [(14, 0.08), (10, 0.12), (6, 0.22), (3, 0.45)]:
        ax.plot(x_range, y + baseline, color=colors[i], linewidth=w, alpha=a)
    
    ax.fill_between(x_range, baseline, y + baseline, alpha=0.45, color=colors[i])
    ax.plot(x_range, y + baseline, color='white', linewidth=1.2, alpha=0.9)
    
    ax.text(-27, baseline + 0.15, coin, fontsize=10, color=colors[i],
            ha='right', va='bottom', fontweight='600')

ax.axvline(x=0, color='#333333', linewidth=1, linestyle='--', alpha=0.5)
ax.set_xlim(-35, 25)
ax.set_ylim(-0.3, len(coins) * overlap + 2)
ax.set_xlabel('Daily Return (%)', fontsize=12, color='#555555', fontweight='500')
ax.set_title('Cryptocurrency Daily Returns', fontsize=16, color='white', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#444444', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()