2024-05-22 Solomon Islands Dollar News
2024-05-21
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
Based on a detailed examination of the provided dataset, it's apparent that the exchange rates depict a generally steady trend with minor fluctuations. The values typically oscillate around the 0.1605 mark, however, from the cursory glance, no distinct increasing or decreasing trend can be observed over the entire period. More refined analysis techniques like trend decomposition or moving averages might be required to take out the noise and observe the subtle underlying trend.
Seasonality or Recurring Patterns
A straightforward visual analysis of the data makes it troublesome to discern a clear recurring pattern or seasonality. The rates appear to fluctuate around an average without a detectable pattern. Nonetheless, it's important to note that this doesn't conclusively imply the absence of seasonality or patterns. Additional analysis using techniques that include auto-correlation functions or Fourier analysis might unearth hidden seasonal components.
Outliers or Unexpected Instances
Direct observation of the dataset makes it challenging to identify any blatant outliers or unexpected instances. The fluctuations in exchange rates, while existent, seem to fall within a relatively consistent range. However, to detect outliers in a more robust way, advanced outlier detection methods, such as the Z-score method or the Modified Thompson Tau method could be utilized.
Please note: this information is derived from superficial direct observations. To better understand these trends, more sophisticated time-series analysis techniques can provide more profound insights. Multi-variate analysis, or using predictive models that consider other features such as time of day or day of the week might help provide a clearer picture.
