2024-04-29 Pataca News
2024-04-28
Summary of Last Week
- 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
Reviewing the data, the exchange rate appears to fluctuate slightly over the period shown, though the changes are generally minor. The rate begins at 0.16804, decreases slightly before increasing up to 0.17083 mid-data, and then generally fluctuating between minor increases and decreases throughout. The highest rate observed in the dataset is 0.17151 on the 16th of April, with the lowest at 0.16771 on the 3rd of April. Given the relatively narrow range of exchange rates throughout this period and the lack of a clear upwards or downwards trend, it might be concluded that the exchange rate remained relatively stable over the period the data covers.
Seasonality or Recurring Patterns
When analyzing time series data for seasonality, we usually look for patterns that recur at regular intervals. However, with the given dataset, the exchange rate does not seem to show identifiable daily or weekly seasonality, this might be due to the fact that exchange rates are influenced by myriad factors both domestic and international. Thus, despite minor fluctuations, discerning a clear repeated pattern within these data points is challenging.
Outliers Identification
An outlier in a distribution is a number that is distant from most other numbers in a set of data. In the provided dataset, there are no drastic jumps or drops in exchange rates to classify any observation as an outlier within this particular dataset. All the values fluctuate within a relatively narrow range, which suggests that the rate has been quite stable during the period under consideration.
Please note that this analysis is based on the dataset provided, and does not account for any external factors. To gain a deeper understanding of exchange rate movements, a broader set of data including market indicators, macroeconomic data, and geopolitical events, would be desirable.