2024-04-30 Hryvnia News
2024-04-29
Summary of Last Month
- 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
Looking at the data provided, it seems that the overall trend of the UAH exchange rate is relatively stable over the given timespan. There is some minor fluctuation but there isn't any strong increasing or decreasing trend observed. The exchange rate starts at 0.0344 and ends at 0.03449, which shows only a very slight increase over the period.
Identifying any seasonality or recurring patterns
From a cursory inspection of the dataset, it is difficult to clearly identify any seasonality or recurring patterns in these exchange rates. Any minor fluctuations observed throughout the period don't seem to have an easily identifiable pattern, which is typical for foreign exchange rates as they are influenced by a myriad of factors, many of them unpredictable or random in nature. Detailed statistical analysis or machine learning techniques might be able to unearth any underlying, less obvious patterns or seasonality.
Noting any outliers
In terms of outliers, there does not appear to be any instances where the exchange rate differs significantly from the general range of values. All rates in the dataset seem to be within the range of 0.0344 to 0.03449, which indicates a relatively stable rate with no big spikes or dips. Hence, no particular outliers can be identified from this dataset.
Conclusion
In summary, the exchange rate of UAH appears to be relatively stable over the period covered by the dataset, with no clear upward or downward trend. There are minor fluctuations in the rate, but no discernible seasonal or recurring patterns in these variations. Similarly, no significant outliers are present in the data. It's important to note that exchange rates are influenced by a multitude of factors, many of which are not predictable or easily identifiable, hence more complex analysis methods would be needed for a deeper understanding of the trends and patterns in these rates.
