Bitcoin's 4-Year Rolling Windows: Analyzing Average Daily Gains vs. Losses

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Understanding Bitcoin's 4-Year Rolling Windows

Bitcoin’s average daily gains consistently surpass its average daily losses across every rolling 4-year window—equivalent to one halving cycle. This analysis is derived by calculating the first-order partial derivative moments of daily returns within each 4-year period, normalized by the number of days to express results as daily returns.

Key Insights:

Why This Matters for Investors

  1. Long-Term Trends:
    Rolling 4-year analyses reveal Bitcoin’s resilience, emphasizing its potential as a store of value despite short-term volatility.
  2. Risk Assessment:
    Omega Ratios provide deeper risk-reward insights compared to traditional metrics, helping investors gauge asymmetric returns.
  3. Halving Cycles:
    The 4-year window aligns with Bitcoin’s halving events, historically correlating with bullish phases due to reduced supply pressure.

FAQs

Q: How does the Omega Ratio improve upon the Sharpe Ratio?

A: The Sharpe Ratio focuses on mean and standard deviation, while the Omega Ratio incorporates the full distribution of returns, capturing tail risks and asymmetric performance.

Q: Why use 4-year windows for Bitcoin analysis?

A: Four years match Bitcoin’s halving cycle, a key driver of its macroeconomic supply dynamics and price trends.

Q: What does an Omega Ratio >1 signify?

A: It indicates that cumulative gains exceed losses, reinforcing Bitcoin’s long-term upward bias.

👉 Learn more about Bitcoin’s cyclical trends


Disclaimer: This content is for informational purposes only and does not constitute financial advice. Digital assets involve risks; assess your financial capacity before investing.


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