2024-05-15 Cuban Peso News
2024-05-14
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
Looking at the figures at a macro level, we can see that the numbers fluctuate between 0.05146 and 0.05163 throughout the course. However, the average values show a consistent stability, indicating that there isn't a significant increasing or decreasing trend over the given period. Rather, the numbers show a trend of mild fluctuations within a very narrow margin.
Patterns and Seasonality
Due to the limited scope of the data provided (roughly a day), it's challenging to confidently determine any seasonal patterns. Exchange rates typically require long-term data analysis to be able to identify any recurring seasonal patterns. That being said, examining the data within the given timescale doesn't show any apparent recurring patterns at hourly periods.
Outliers and Abnormalities
Considering the relatively steady nature of the data, there are no drastic spikes or drops within the reported timescale. This means we do not have apparent outliers in the current dataset. The minimal fluctuation stays around the same narrow margin indicating a quite stable rate within this period.
Important Note
As it was requested, external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports weren't considered in this analysis. However, it's important to know that such factors can significantly impact exchange rates. For a more exhaustive and precise understanding, these factors should ideally be taken into consideration.
Another important thing to note is the small size and short span of the dataset. A more accurate and detail-oriented analysis would necessitate a larger dataset that spans a more extended period. This would allow not only for a more reliable understanding of the overall trends but also for a more confident detection of recurring patterns, outliers, and potential external influences.