2024-05-15 Cabo Verde Escudo 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
Based on the request, here's the analysis:Overall Trend of Exchange Rates
Upon reviewing the dataset, it appears that the exchange rates remain relatively stable throughout the period. The dataset captures the daily exchange rates from the timestamp '2024-05-14 00:00:02' until '2024-05-14 23:55:02. Within this period, we observe slight fluctuations, with the exchange rate varying between a minimum of 0.01335 and a maximum of 0.01339. However, this difference is not substantial, indicating no significant increase or decrease in the period observed.
Seasonality or Recurring Patterns
Looking at the timestamps provided, the data does not display marked seasonality or recurring patterns based solely on the exchange rate changes. Since the period spans only a single day and the variations in rates are very minimum, we cannot establish a pronounced seasonality or pattern within this specific dataset. However, a larger dataset that includes hourly data for a longer span like months or years might reveal such patterns, as exchange rates can exhibit cyclical trends over extended periods.
Outliers and Significant Divergences
In the given data span of approximately 24 hours with 5-minute intervals, there do not appear to be any significant outliers or instances where the exchange rate deviates considerably from the observed trend. The rates maintained stability, with only slight variations not exceeding a difference of 0.00004 from the highest to the lowest point. Without access to more extensive data, it's impossible to determine whether these minor changes are within the expected range or not.
Remember that this analysis is based only on the data provided and does not take into account the external factors that could impact the exchange rate, such as changes in economic indicators, market news, or global events. A more robust analysis would require additional information and historical data.