2024-05-14 Falkland Islands Pound News
2024-05-13
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
Analyzing the Financial Data
After a careful review of the time-series financial data, the following insights have been drawn:
Understanding the Overall Trend
The values of the FKP exchange rate provided indicate that there are both periods of incremental increases as well as periods of slight decreases throughout the dataset's time span. It doesn't present a specific trend, such as a clear, consistent increase or decrease over time. The FKP exchange rate started at 1.71401 at the beginning of the time series data and ended at 1.7183 suggesting a marginal increase.
Identifying Seasonality or Recurring Patterns
Given the nature of the dataset, a clear seasonal or cyclical pattern could not be definitively discerned. The data doesn't represent a full year or multiple years to check for annual seasonality properly. Furthermore, there are no clear daily patterns. There are periods where the exchange rate fluctuates, followed by periods of relative stability, but this pattern is not consistent enough to substantiate a solid tendency.
Noting of Any Outliers
No significant outliers can be seen in the dataset. Given the range of change is relatively small (it ranges roughly between 1.712 and 1.719), no individual data point differs significantly from this range. All values remain within a reasonably narrow band throughout this time series.
However, it is essential to mention that this analysis does not consider instantaneous changes or certain time points such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.
Recommendations
Given the minimal increase in the exchange rate over time, the data suggest a relatively stable market for the FKP. For more robust conclusions or decision making, having additional surrounding context around the data (such as considering the impact of significant economic indicators or news events) could be beneficial.