2024-05-22 Guarani 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 of Exchange Rates
The supplied data includes the PYG exchange rate recorded at different timestamps on 2024-05-21. With a cursory glance at the data, it appears that the exchange rate remains consistent at 0.00018 throughout the period. There are no indications of any increase or decrease during this specific day. The exchange rate appears to have remained remarkably stable over this period.
Seasonality or Recurring Patterns
Given that the data is for a single day only and considering the rate has remained constant, it would not be possible to give an assessment regarding the seasonality or recurring patterns of the exchange rate. Normally, to comment on seasonality or recurring patterns reliably, we would require a broader data set spread over more extended periods (typically at least a year or more). Seasonality generally refers to predictable changes that recur every calendar year and trends are long-term movements in time-series data after other components have been accounted for. It would also help if we had more information on relevant variables apart from the given fixed exchange rate.
Outliers and Significance
Based on the provided data, all observations are noted at the same value of 0.00018. This implies that there are no outliers in this dataset since an outlier would be a data point that diverges significantly from other observations. Outliers usually indicate significant, and sometimes critical, information about the dataset being analyzed. However, given the constant rate observed in this instance, there are no outliers to report.
In conclusion, without any varying data, there is no trend, no seasonality, and no outliers in this dataset. To perform a more comprehensive analysis, I would recommend obtaining a dataset that spans over a more extended period with varying exchange rates.