2024-05-06 Saint Helena Pound News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
In observing the provided dataset for the SHP exchange rates, it's apparent that there are fluctuations in the rates throughout the observed period. Looking at the dataset from the beginning on 2024-04-05 through to the end on 2024-05-03, one can observe several incremental shifts in the relative worth of the currency. Overall, the exchange rate peaked at 1.09276 on April 15th, and it reached its lowest point at 1.07431 on April 9th. From these observances, it appears that the exchange rate for this currency does not remain stable but sees regular increases and decreases.
Seasonality and Recurring Patterns
Upon looking for any seasonal or cyclical patterns, it can be seen that the data doesn’t exhibit clear seasonality or recurring patterns based on the timestamps. There appears to be more rapid fluctuation on a day-to-day basis rather than any significant changes occurring on a specific day or at a certain time. That being said, it's difficult to conclude definitive patterns without further statistical analysis. To better understand how this currency behaves over time, a more detailed, segmented time series analysis will be necessary.
Outliers and Exceptional Points
Throughout the period observed, there aren't any significant outliers that deviate drastically from the overall trend. While there are certain points where the value increases or decreases more than usual, they don't differ significantly from the surrounding data points. It’s worth noting some dates that saw the more significant changes, such as a dip on April 9th and the peak on April 15th. However, these don't appear to signify any underlying anomalies but rather standard market fluctuations. As expected within most financial data, there is a level of volatility with no drastic outliers spotted in the given dataset.