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How Volatile is Bitcoin? Tracking the Historical Bitcoin Price

How Volatile is Bitcoin? Tracking the Historical Bitcoin Price

The volatility of Bitcoin, a popular cryptocurrency, has been a subject of great interest among investors and enthusiasts. This data visualization aims to provide insights into the historical price fluctuations of Bitcoin, highlighting its level of volatility over time. By tracking and visualizing the price movements, users can gain a better understanding of the magnitude and frequency of price changes, enabling them to make more informed decisions in the dynamic world of cryptocurrency investment.

In the following box plot, we are tracking the historical volatility of bitcoin prices by each year and month.

Explanation: What is Delta Price / Delta Date?

The delta price of Bitcoin divided by the delta date is a metric used to measure the rate of change in the price of Bitcoin over a specific period of time. It calculates the average change in the price of Bitcoin per unit change in time. This metric is useful in analyzing the volatility and trend of Bitcoin's price movement. By dividing the change in price by the change in date, we can determine the average price movement per unit of time.

For example, let's consider the following scenario:

  • On January 1, 2022, the price of Bitcoin was $20,000.
  • On January 10, 2022, the price of Bitcoin increased to $30,000.

To calculate the delta price, we subtract the initial price from the final price: $30,000 - $20,000 = $10,000. To calculate the delta date, we determine the number of days between the two dates: 10 - 1 = 9 days.

Now, we can calculate the delta price of Bitcoin divided by the delta date: $10,000 / 9 days = $1,111.11 per day. This means that, on average, the price of Bitcoin increased by approximately $1,111.11 per day during this period.

By analyzing the delta price of Bitcoin divided by the delta date over various time periods, investors and analysts can gain insights into the rate of change in Bitcoin's price and potentially identify trends or patterns that may inform their investment decisions.

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