[OC] Bitcoin Historical Returns Matrix (2014–2026): Visualisierung von 12 Jahren Saisonalität, Halbierungen und neuen ATHs

I built this visualization using Python (Matplotlib) to track how BTC performs month-over-month.

Key features:
Cyan Box: Halving Events (the supply shock points).

Gold Star: Months where a new All-Time High (ATH) was reached.

Seasonality Chart: Shows that October remains the strongest month historically (avg +19.3%), while January and September tend to be „red“ months.

Data Source: Yahoo Finance API (up to Feb 13, 2026).

Tools: Python, Pandas, Matplotlib.