2024-04-18 Pataca News
2024-04-17
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
After examining the provided data, it can be noticed that the general trend of the exchange rate is relatively stable. The value began at about 0.17126, ranging to a high of about 0.17144 and reaching a low of about 0.17084. The minor fluctuations indicate a stable economy and consistent demand and supply within the foreign exchange market during this period.
Seasonality and Recurring Patterns
Seasonality in time series signifies the presence of variations that occur at specific regular intervals every day, week, month, or quarter. Regarding this dataset, upon an initial analysis, it appears there isn’t any noticeable seasonality or recurring patterns in the exchange rates fluctuations on the intraday level. This may indicate that the exchange rate is more likely impacted by a multitude of various micro and macroeconomic factors that change constantly throughout each day rather than cyclical factors.
Identification of Outliers
Outliers in the dataset might signify a significant event that had a temporary impact on the rates. After reviewing the data, there were no clear outliers identified. However, there are minor fluctuations that could be deemed as insignificant given that they're within an acceptable range for exchange rates variation on an intraday level. Hence, the relative lack of outliers implies a relatively stable period for the currency pair during the range of these timestamps.
Note:
For a more comprehensive understanding, a visual depiction of the data in the form of a line graph or time-series plot could be beneficial. This would visually emphasize outliers, trends, and patterns. Also, for a more detailed analysis, external factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports should be considered as they can influence the currency exchange rates.