Currency Tumbles Amid Fluctuating Exchange Rates Stirring Financial Unrest
2024-05-09
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
The dataset presents a very slight downward slope. The exchange rates start from a value of 0.57799 and ends with a value of 0.57746. A decrease of approximately 0.00053 over the course of a day is recorded. Despite the exchanges being nearly constant most of the day, it's noteworthy to see the slight decrease.
Seasonality and Recurring Patterns
Given the data for one day, visible seasonality or recurring patterns are not obvious. The dataset depicts a nearly consistent fluctuation of small magnitudes throughout the day. However, there are instances of downward and upward shifts seen throughout the dataset. To better analyze these shifts, a more extensive dataset covering a longer time frame would be helpful. This can illuminate if these shifts align with certain days of the week, specific months, or are correlated with specific events.
Notable Outliers
No substantial outliers were identified within this dataset. The exchange rates communicated a consistent flow with some fluctuations throughout the day. Yet, there are slight deviations from the average value both upward and downward, which may be considered 'micro-outliers'. An example of this occurred at the timestamp 2024-05-09 22:40:02, where the value jumped to 0.57741, a change of 0.00105 from the previous rate of 0.57636 (at 2024-05-09 22:35:02).
Overall, while the exchange rates are nearly consistent for this day, the data does show a very slight downward trend with minor fluctuations. The reported outliers are relatively insignificant given the size of the changes. Therefore it could be said that the exchange rate is reasonably stable. A more extended analysis, possible over weeks, months or years could result in a more in-depth understanding of trends, seasonality and potential outliers in the data.