2024-03-12 Bitcoin News
2024-04-23
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of Exchange Rates
The first step in time series analysis is understanding the overall trend in the data. The trend can be defined as a general direction in which something is developing or changing. By examining the provided data, we can see that the Bitcoin exchange rate fluctuates within a certain range during the given period. However, it does not show a definitive increase or decrease. It does reveal a wave-like pattern where there are periods of increase followed by periods of decrease.
Seasonality or Recurring Patterns
Seasonality refers to regular and predictable changes that recur every calendar year. In the context of financial markets and time series data, any predictable fluctuation or pattern that recurs or repeats over a one-year period is considered seasonal. However, in the given dataset, we cannot definitively say there is any seasonality or recurring pattern because the data provided is over a short period and not sufficient to detect long-term seasonality.
Outliers in the Exchange Rates
An outlier in a distribution is a number that is distant from other numbers. By looking at the given data, a significant jump can be observed at the last timestamp (2024-04-23 23:55:02). The exchange rate increased significantly from 91293.86967 to 91640.73387. It is considerably above what we see in the previous rates. Therefore, this could be seen as a potential outlier in this dataset. However, considering the volatile nature of Bitcoin, fluctuations like these are not unusual.
Please note that this analysis purely based on the data given and without considering factors such as market opening/closing hours, weekends/holidays, release of key financial news and reports, which can significantly impact bitcoin prices.
