2024-04-18 Guernsey Pound News
2024-04-17
Summary of Yesterday
- 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
The overall trend of the exchange rates from the given dataset indicates that there is a decrease in the exchange rate value. Starting from 1.72162 at the earliest timestamp (2024-04-17 00:00:02), it does fluctuate over the course of time reaching a peak of 1.72349 at (2024-04-17 01:05:01) but generally, it shows a downward trajectory ending at 1.71332 at the latest timestamp (2024-04-17 23:50:02). Therefore, in this period, despite some fluctuations, the exchange rate is depreciating.
Identifying Seasonality and Recurring Patterns
In terms of seasonality or recurring patterns, it's hard to draw a definitive conclusion without more descriptive information related to periods. However, if we consider the hourly data, there is a minimal fluctuation in exchange rates, at times the rates increase and decrease alternatively. Unless a meaningful 'season' can be established (such as business quarters, or specific months/weeks of the year), it would be difficult to definitively say if there is a seasonal pattern to the data.
Outliers Identification
Without a statistical analysis or a plotted graph, it's challenging to pinpoint exact outliers within the provided data. Yet, by examining the data, extreme values or large fluctuations in short periods could be considered as potential outliers. For instance, the exchange rate jumped from 1.72228 at (2024-04-17 00:30:02) to 1.72311 at (2024-04-17 00:55:02). However, this being an exchange rate, which is highly susceptible to a multitude of factors, fluctuations are pretty common and hence the concept of outliers might not be always relevant here.
Further and more precise analysis would require advanced statistical methods or graphic plotting through specialized software to obtain a more accurate understanding of outliers and to validate these initial observations.