Cryptocurrency Daily Volatility

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(42)

cryptos = ['Bitcoin', 'Ethereum', 'Solana', 'Cardano', 'Polygon']
daily_return = np.array([2.8, 3.5, 5.2, 4.1, 4.8])
volatility = np.array([4.2, 5.8, 12.5, 8.2, 9.5])

fig, ax = plt.subplots(figsize=(10, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(cryptos))
colors = ['#F5B027', '#5314E6', '#27D3F5', '#276CF5', '#F5276C']

for i, (ret, vol, c) in enumerate(zip(daily_return, volatility, colors)):
    ax.errorbar(i, ret, yerr=vol, fmt='o', color=c, ecolor=c,
                elinewidth=3, capsize=8, capthick=2.5, markersize=16,
                markeredgecolor='#1f2937', markeredgewidth=2, alpha=0.9)
    ax.annotate(f'±{vol}%', xy=(i, ret + vol + 0.8), ha='center',
                color='#6b7280', fontsize=9, fontweight='500')

ax.axhline(y=0, color='#d1d5db', linestyle='-', linewidth=1)
ax.set_xlabel('Cryptocurrency', fontsize=12, color='#374151', fontweight='600')
ax.set_ylabel('Daily Return (%)', fontsize=12, color='#374151', fontweight='600')
ax.set_title('Crypto Daily Returns with Volatility Range', fontsize=15, 
             color='#1f2937', fontweight='bold', pad=20)

ax.set_xticks(x)
ax.set_xticklabels(cryptos, fontsize=11, fontweight='500')
ax.tick_params(colors='#6b7280', labelsize=10)
ax.set_ylim(-12, 20)
ax.grid(True, axis='y', alpha=0.4, color='#e5e7eb', linestyle='-')
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color('#d1d5db')
ax.spines['bottom'].set_color('#d1d5db')

plt.tight_layout()
plt.show()