Investment Portfolio Allocation Stream

import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'layers': ['#3B82F6', '#10B981', '#F59E0B', '#EF4444', '#8B5CF6'],
    'background': '#ffffff',
    'text': '#1f2937',
    'grid': '#e5e7eb',
}

np.random.seed(2828)
months = np.arange(0, 60)

stocks = 50 + 5 * np.sin(months * np.pi / 12) + 0.1 * months + np.random.normal(0, 2, 60)
bonds = 25 - 0.1 * months + 3 * np.cos(months * np.pi / 15) + np.random.normal(0, 1, 60)
real_estate = 10 + 0.05 * months + np.random.normal(0, 0.5, 60)
commodities = 8 + 3 * np.sin(months * np.pi / 8) + np.random.normal(0, 1, 60)
crypto = 2 + 0.15 * months + np.random.exponential(1, 60)

data = [np.clip(d, 1, None) for d in [stocks, bonds, real_estate, commodities, crypto]]

fig, ax = plt.subplots(figsize=(14, 6), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

ax.stackplot(months, *data, colors=COLORS['layers'], alpha=0.85, baseline='sym',
             labels=['Stocks', 'Bonds', 'Real Estate', 'Commodities', 'Crypto'])

ax.axhline(0, color=COLORS['grid'], linewidth=0.5)
ax.set_xlim(0, 59)

ax.set_title('Portfolio Allocation Over Time', color=COLORS['text'], fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Month', color=COLORS['text'], fontsize=11)
ax.set_ylabel('Allocation (%)', color=COLORS['text'], fontsize=11)

ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, fontsize=9, ncol=5)

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

plt.tight_layout()
plt.subplots_adjust(bottom=0.18)
plt.show()