2024-03-12 Rand News
2024-04-23
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 of Exchange Rates
Starting from the beginning of the dataset, at 00:00:02 on 2024-04-23, the exchange rate was 0.07141. By the end of the specified period, at 23:55:02 on the same day, the exchange rate had slightly increased to 0.07157. However, this does not imply a consistent upward trend throughout the course of the day. Rather, it appears that the exchange rate fluctuated, with both increases and decreases occurring at various points during the day. The lowest exchange rate during this period occurred at 08:25:03 (0.07116) and the highest at 23:50:02 (0.07157). The trend over the course of the given day seems to be generally upward, despite some fluctuations. This suggests that across the whole day the ZAR currency slightly appreciated.
Seasonality or Recurring Patterns
Given the data relative to a single day, it’s more challenging to discern clear seasonal patterns or recurrent trends in exchange rate fluctuations. For such analysis, a larger dataset each day might be necessary. Nonetheless, within this day, some fluctuations can be noted. For instance, the rate is generally lower during the early morning (around 08:00) and starts to increase slowly, hitting the highest point close to midnight. This could indicate a possible daily pattern, but longer trend data would be necessary for a reliable conclusion.
Outliers in the Data
Within the dataset, there are distinct points at which the exchange rate differs significantly from the surrounding data. Some of these instances include the times 07:25:03 (0.07116), 09:45:03 (0.07153), and 23:50:02 (0.07157). At these times, the exchange rate is notably different from the values immediately before and after. These differences could be caused by various factors, such as immediate reactions to the financial market or other economic influences. However, given that the dataset spans only a single day and these discrepancies are relatively small, these instances might not be true statistical outliers but rather typical market fluctuations.