2024-04-30 Solomon Islands Dollar News
2024-04-29
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
Overall Trend of the Exchange Rates
Over the time period captured in the dataset, the SBD exchange rate has shown a generally increasing trend. The rate started at 0.16091 and ended at 0.16137, denoting a gentle rise in the rate over time. Despite the presence of fluctuation, the rate never dropped dramatically or below the initial value. Hence, it can be concluded that over a course of time, the rate has appreciated.
Periodic or Seasonal Patterns
With time-series data, periodically recurring trends or seasonal patterns could be present. In this case, it does not appear that there is a regular or repeating pattern in the exchange rates based on the given dataset. The rates tend to fluctuate within a reasonably narrow range without showing a clear often-repeating pattern. Further analysis with more advanced tools like Fourier analysis could potentially reveal hidden cyclic patterns, but the given data does not explicitly indicate seasonality.
Identifying Outliers
Outliers are points that deviate significantly from the general trend of data and may indicate abnormalities or special events. In this dataset, no prominent outliers are detected. This means that there are no instances where the exchange rate varies dramatically from its general trend. This could either suggest a relatively stable market environment during the observation period or that any variations were inline with the overall market expectation.
In a more advanced analysis, statistical techniques like standard deviation or interquartile ranges could be used to precisely identify outliers. However, for the provided dataset and the level of the analysis requested, we did not find any keys instances that would be considered significantly deviant.
In conclusion, while the data provides us with insights into specific rate dynamics during the captured period, for deeper or predictive analysis, more advanced statistical tools and longer time periods may be required. As this was out of scope for the current analysis, we focused on the overview instead.