2024-05-13 Guernsey Pound News
2024-05-12
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
Understanding the Overall Trend of the Exchange Rates
The exchange rate data provided spans across an approximately one month time frame (April 12, 2024 - May 10, 2024). It appears that the overall trend of the exchange rates fluctuates over this period. The highest recorded exchange rate is 1.72888 and the lowest is 1.69961, indicating the volatility of rates over this period. On April 12, the rate was fairly high at 1.72126 and increased slowly until it reached its peak on April 15 at 1.72888. Afterwards, it gradually descended to its the lowest point at 1.69961 on April 26. The rate then slightly recovered and fluctuated with some slight upward trends and downward dips. However, it is difficult to discern an exact clear upward, downward or stable trend for the entire period as the rates vary significantly.
Identifying Seasonality or Recurring Patterns in the Changes of Exchange Rates
As the data spans a period of just one month, it's challenging to identify any definitive seasonality or recurring patterns. However, some observations can be made. For many days, the exchange rate seems to start low in the morning, peak around midday, and then reduce during the evening hours. This may suggest a daily cycle, although there are visible exceptions to this pattern. Thus, while there are mild indications of a daily rhythm, it would require more data and further analysis to determine a strong pattern or seasonal trend.
Noting any Outliers in the Exchange Rates
Outliers in the data are the values that distinctly deviate from other observations. In this dataset, the rate drops significantly on April 15th and again on April 26th, hitting the lowest point of 1.69961. Similarly, a sudden increase on April 15th stands out, reaching the highest point of 1.72888. However, fluctuations in exchange rates are not uncommon, and these could bear relevance to external events or data not included in the given dataset. As such, while these points are distinct when compared to the immediate datapoints around them, they might not necessarily be considered outliers.