2024-04-22 Pataca News
2024-04-21
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
1. Understanding the Overall Trend
The dataset provided depicts a relative stability in the exchange rates over the time period. An upward and downward trend is apparent, but the variations are quite small and they always revolve around the value of 0.17. The lowest exchange rate value recorded was 0.1672 while the highest was up to 0.1715. This suggests there wasn't a large fluctuation in the exchange rates during the given period.
2. Identifying Seasonality or Recurring Patterns
Given the data at hand which spans for just a little over month, and without additional context (like daily trading volume), it is difficult to precisely ascertain any strong seasonality or recurring patterns in the exchange rates. However, it is noticeable that the rates tend to rise and fall within a day and with no significant wider weekly visible pattern.
3. Noting Any Outliers
In this dataset, no significant outliers were observed. The exchange rates remained within the range of 0.167 to 0.1715, suggesting that no sudden spikes or drops occurred during the period examined. The tight grouping of the data also rules out the possibility of a strong outlier skewing the overall analysis. It can be concluded that the exchange rates remained relatively stable and behaved within expectations.
In conclusion, based on the data analysis of the exchange rates from this period, it can be said that the rates are relatively stable without any large fluctuations or outliers. It is important to note that the data only covers a short period of time and a more long-term dataset would provide a better analysis of trends, patterns, and outliers. Additionally, the availability of high frequency data (like intra-day-level data) and external factors such as trading volumes, major political/economic news etc. could provide a deeper analysis and enable accurate predictions of exchange rate movements.