2024-05-16 Guernsey Pound News
2024-05-15
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
To begin with, let's narrow down the vast dataset to key findings:Overall Trend
From an analyzed examination of the data, the exchange rates between different currencies over time show a slightly decreasing trend. The rate starts at about 1.71417 and ends with about 1.7092, and there are several fluctuations in-between, but generally, the overall trend is slightly downwards.
Recurring Patterns and Seasonality
On a detailed look into the dataset, there are no clear seasonal patterns or other recurring patterns visible. However, it's important to note that financial data is complex and influenced by a myriad of different factors which this analysis might not be taking into account - such as the release of key financial news or economic indicators, market opening and closing hours, weekends or public holidays and so forth.
Outliers
There are few instances of a notable difference from the majority of data points, indicating potential outliers. For instance, the exchange rate dips to 1.7086 around the timestamp '2024-05-15 07:35:03', which is significantly lower than the data points around it. Investigations into these outliers could provide further understanding of factors influencing the exchange rate.
Fluctuations
Throughout the data, there are considerable fluctuation rates, despite the overall slightly downward trend. This is not unexpected in financial data, as exchange rates are influenced by many factors, including economic indicators, geopolitical events, and market psychology, leading to frequent changes.
In conclusion, the data shows a slight overall decline in the value of the currency in question over the period. There is also a significant degree of volatility, as is often seen in financial data. It is crucial to note that various external factors are not taken into account in this analysis, which could potentially explain the observed patterns and fluctuations.