2024-04-23 Pula News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend of the Exchange Rates
After a careful inspection of the time series data provided, it can be observed that the exchange rate (BWP) exhibits minor volatility and tends to remain relatively stable within the range of 0.0987 to 0.0992 over the designated period. There are minor fluctuations in the rate throughout the day; however, these changes are quite nominal and do not point to a distinct upward or downward trend. It's worth noting that the exchange rate does show very slight overall growth from the start to the end of the date, but this growth is minimal and may not be economically significant.
Seasonality or Recurring Patterns
From the dataset, it is not evident that there is any significant seasonality or recurring pattern. The exchange rate data does not show consistent periodic fluctuations that might suggest a seasonal pattern. Exchange rate values appear to be subjected more to irregular random noise rather than to a seasonal effect. However, to fully confirm this observation, one would need to conduct statistical tests or use more advanced time-series algorithms.
Identifying Outliers
In identifying outliers within the data, we observe a few moments where the exchange rate deviates slightly from the common range of rates. One such instance is when the exchange rate reaches a relative high of about 0.09918. However, these so-called 'peaks' and 'valleys' are relatively small and short-lived, quickly returning to the common range of rates. There are no drastic spikes or drops in the data that might suggest a significant event influencing the exchange rate.
Despite these observations, it must be stressed that all the conclusions drawn are limited by the short timeframe of data available. To make more accurate and reliable interpretations of trends, patterns, and outliers in the exchange rate, it would be necessary to consider a much longer timespan of data.
The analysis does not consider possible external factors affecting exchange rates such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, as per your instruction.