Crypto Trading Volume Horizon

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#1a3d1a', '#2d6b2d', '#4ade80', '#6CF527'],
    'background': '#0a0a0f',
    'text': '#ffffff',
}

np.random.seed(222)
hours = np.arange(0, 720)  # 30 days in hours
# Crypto volume with spikes
base_volume = 50 + 20 * np.sin(hours * np.pi / 12)
spikes = np.random.choice([0, 1], size=len(hours), p=[0.95, 0.05]) * np.random.uniform(30, 80, len(hours))
volume = base_volume + spikes + np.random.normal(0, 10, len(hours))
volume = np.clip(volume, 0, 150)
volume_norm = volume / 150

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 0.25

ax.fill_between(hours, 0, np.clip(volume_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(hours, 0, np.clip(volume_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(hours, 0, np.clip(volume_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(hours, 0, np.clip(volume_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 719)
ax.set_ylim(0, 0.3)

ax.set_title('BTC Trading Volume (30 Days)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Day', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Volume', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 168, 336, 504, 672])
ax.set_xticklabels(['Day 1', 'Week 1', 'Week 2', 'Week 3', 'Week 4'])

for spine in ax.spines.values():
    spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()