2024-04-23 Bulgarian Lev News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis Overview
After analyzing the given dataset, we can observe several insights related to trends, patterns, and outliers of the exchange rates.
Trend Analysis
The overall trend of the exchange rates appears to be relatively stable with minor fluctuations. Looking at the beginning to the end of the dataset, the exchange rate starts at 0.74897 and ends at 0.74622. Between these points, there are continual increases and decreases, back and forth. Despite individual changes, the long-term trend maintains a somewhat constant pace.
Seasonality and Recurring Patterns
Upon initial review, it does not seem like there is a discernible seasonal or recurring pattern in this dataset. The changes in the exchange rate seem constant throughout the day, without any specific times showing consistently higher or lower rates. This could suggest that the exchange rate is more influenced by factors outside of a regular, cyclical pattern.
Outliers Analysis
Within this data, there do not appear to be significant outliers. In the context of this dataset, an outlier would be represented by a sudden and drastic change in the exchange rate. None of the rates presented in the series data indicate such abrupt fluctuations that would suggest the presence of outliers. Instead, the rates remain relatively consistent in their oscillation.
Conclusion
The exchange rates, while oscillating, exhibit constancy throughout the dataset. There's no discernible cyclical pattern or significant outlier impacting the overall trend. Predictive analysis of this dataset may require accounting for external factors that aren't provided within this dataset, such as geopolitical events or broader economic trends.