2024-05-22 East Caribbean Dollar 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
The dataset provided is a timeline of the exchange rate of a certain currency (XCD) recorded at different timestamps. After a detailed examination of the data, here are my findings:
1. Overall Trend of the Exchange Rates
Observations of the data show that the currency began at an exchange rate of approximately 0.50457 at the beginning of the timeline and ended with an exchange rate of around 0.50484. Thus, it exhibits a slightly increasing trend, albeit with some minute fluctuations in between. However, it's crucial to note that this increase is quite minimal and, in general, it can be roughly inferred that the exchange rate remains more or less stable throughout the examined period.
2. Seasonality or Recurring Patterns
Identifying seasonal patterns requires a larger dataset including multiple cycles of the time unit in which the seasonality happens (e.g., years, if the seasonality is annual). While the dataset provided does show some recurring fluctuations, the dataset does not span a long enough period to conclusively determine longer-term seasonality or regular patterns in the exchange rates.
3. Outliers Identification
There are no significant jumps or plummets visible in the data, suggesting that there are no notable outliers in this series of exchange rates. The rate seems to fluctuate within a consistent range, with no significant deviations from the overarching trend. However, a statistical test such as the Z-score or the IQR method would be more precise for outlier detection.
In summary, the given time-series dataset of exchange rates reveal a marginally increasing yet primarily stable trend, lack conclusive seasonal patterns due to the limited time scope, and seem to exhibit no noticeable outliers.