Bitcoin Daily Prices 2014-2023

By shrijeetverma13 · February 20, 2026

Based on the analysis of Bitcoin trading data, Monday shows the highest average daily return at 0.483%, while Friday demonstrates the highest average…

Based on the analysis of Bitcoin trading data, Monday shows the highest average daily return at 0.483%, while Friday demonstrates the highest average trading volume at $17.93 billion.

Based on historical data from 2014-2023, Q4 (October-December) shows the strongest average returns for Bitcoin with 0.351% average daily return, while Q1 (January-March) leads in trading volume with $19.29 billion average daily volume.

Based on historical data from 2014-2023, October has been Bitcoin's best-performing month with an average daily return of 0.56%, while September has been the worst month with an average daily return of -0.13%.

The 30-day volatility has varied significantly year over year from 2014 to 2023. The analysis shows a clear trend with 2017 being the most volatile year at an average of 4.46%, while 2023 was the least volatile at just 2.19% average volatility.

The analysis identified the longest consecutive periods of positive and negative daily returns in your dataset. The longest positive streak lasted 13 consecutive days from April 29 to May 11, 2017, generating a cumulative return of 34.63%. The longest negative streak was 8 consecutive days from June 7 to June 14, 2022, resulting in a cumulative loss of -32.81%.

The highest daily return occurred on December 7, 2017, with an impressive gain of 25.25% and a price increase of $3,633.60. The lowest daily return happened on March 12, 2020, with a significant drop of -37.17% and a price decrease of $2,942.83.

The analysis reveals a positive relationship between daily price range and market volatility across different years. When 30-day market volatility increases, the daily price ranges tend to widen as well, with an overall correlation of 0.234.

Yes, high-volume trading days strongly correlate with larger price movements. The analysis reveals a robust correlation of 0.725 between trading volume and price range, indicating that days with higher trading activity consistently experience more significant price swings.

I've analyzed Bitcoin's performance from 2014 to 2023, calculating the average annual closing price and total return for each year. The analysis includes a comprehensive visualization with two charts: one showing the average closing prices by year, and another displaying the annual returns with color-coding (green for positive, red for negative years).

The analysis identified 62 instances where the 7-day moving average crossed above the 30-day moving average (known as 'golden cross' signals). These are bullish technical indicators that traders often watch for potential buying opportunities.

I've calculated the year-over-year percentage change in Bitcoin's closing price for each year. The analysis shows how Bitcoin's price changed from one year to the next, with both positive gains and negative declines clearly identified.

Bitcoin reached its major price milestones at these key dates: $1,000 on January 1, 2017; $10,000 on November 28, 2017; $20,000 on December 17, 2017; and $50,000 on February 16, 2021.

There were 96 days with daily returns exceeding plus or minus 10%. The analysis shows these extreme volatility days occurred across multiple years in the dataset, with the distribution varying by year. The most extreme returns reached a maximum of positive returns and significant negative returns during these volatile periods.

During high volatility periods (when 30-day volatility is at or above 3.15%), the average daily return is 0.255%. This is notably higher than low volatility periods, which show an average daily return of 0.150%. The difference of 0.105% suggests that periods of market turbulence tend to be associated with higher average returns.

Looking at the trading data from 2014 to 2023, positive return days slightly outnumbered negative ones overall. Across the entire period, 52.8% of trading days had positive returns while 46.9% had negative returns. The distribution varied significantly by year, with 2017 being the strongest year at 61.4% positive days, while 2022 was the weakest at only 46.6% positive days.

The average daily trading volume showed dramatic growth from 2014 to 2023. Starting from a baseline in 2014, trading volume increased substantially over the decade, culminating in a total growth of approximately 1,170% by 2023. The visualization displays this upward trend clearly, with volume measurements shown in millions and billions for easy comparison across years.

During bull markets, the closing price stays above the 90-day moving average approximately 80.4% of the time. This analysis examined 1,895 bull market days (defined as periods with positive 30-day rolling returns) and found that 1,524 of those days had the closing price above the 90-day moving average.

The analysis examined Bitcoin's historical price data to identify major drawdowns (peak-to-trough declines greater than 30%) and their recovery periods. Two data tables were generated showing the drawdown analysis results.