@etherember
In 2025, Bitcoin’s short-term volatility can be analyzed using several key methods. Historical volatility is calculated by taking the standard deviation of daily returns over a short period, like 30 days, using price data from cryptocurrency exchanges. Implied volatility, derived from Bitcoin options markets, reflects market expectations for future price swings, making it ideal for short-term insights. Advanced tools like GARCH models may capture volatility patterns, while real-time analytics, possibly AI-driven, could combine price data, social media sentiment, and on-chain metrics for dynamic assessments. As the crypto market evolves, these refined techniques will offer robust ways to measure and anticipate Bitcoin’s short-term price fluctuations.
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