2024-05-16 Peso Convertible 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
Overall Trend Analysis
The dataset provided seems to exhibit slight decreasing trends in the exchange rate over the time period from 2024-05-15 00:00:02 to 2024-05-15 23:55:02. The exchange rate appears to start at around 1.36465 CUC and ends near 1.36069 CUC, though there are certainly periods with increasing or stable rates within this time frame. Specifically, much of the change seems to occur after around the 08:30:03 time point, when the exchange rate shows more fluctuation and general decrease.
Seasonality or Recurring Patterns
Regarding seasonality or recurring patterns, limitations of the provided dataset such as the inclusion of a single day without span into weeks or months make it challenging to definitively identify such features. However, some smaller scale habitual patterns might be present, one common thing that can be inferred from the data is a cyclic pattern where the exchange rate generally decreases for a time, followed by a recovery. This cycle tends to repeat multiple times throughout the dataset.
Outliers Discussion
Considering outliers in the dataset, the significant drop around timestamp 2024-05-15 07:35:03 with the exchange rate dropping to around 1.36021 from previous timepoint of 1.36312 stands out. Following this drop, the rate quickly recovers within the next few timepoints, indicating potential outlier behaviour. Other potential outliers could be present in form of sudden short-lived spikes or dips in contrast to the generally gradual changing nature of the exchange rates.
Conclusion
In conclusion, this analysis provides a basic understanding of the behavior of the exchange rate on 2024-05-15. The exchange rate showed slight decrementing trends over the course of the day, with regular small-scale cycles of decrease and recovery. A few potential outliers were also identified. As only one day's data is provided, no conclusions about longer-time trends or patterns are made.