2024-05-22 Aruban Florin News
2024-05-21
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
By looking at the data provided, we can see the constant fluctuation of the AWG exchange rates across different timestamps within the given period. However, to get a more comprehensive understanding of the overall trend of this exchange rate, we would need to visually depict this data. Yet, based on this data alone, it is challenging to decisively point out if the exchange rates generally increase, decrease or remain stable over this period without any statistical analysis or graphical representation.
Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in the AWG exchange rates might again require more rigorous statistical testing and data spanning over a more extended period. A simple visual examination of the provided data might not offer any clear seasonality or recurrence in the changes of exchange rates. However, it's important to mention that financial time series often involve some degree of seasonality, but identifying this purely from raw data can be challenging.
Outliers Identification
Just like the trend and seasonality, identifying any outliers or instances where the exchange rate significantly varies from what would be expected based on the trend or seasonality would require a more detailed analysis or graphical representation. However, by examining the numeric differences between consecutive timestamps, we might be able to spot some potential outliers or significant deviations from the norm.
In conclusion, the provided data represents a time-series of AWG exchange rates at different timestamps. To achieve a deep understanding of the data trends and patterns, methods like moving averages, auto-correlation plots, or more complex statistical modeling techniques might be applied when working with a larger dataset or a data visualization tool.