2024-04-26 Rand News
2024-04-25
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Certainly, I'll provide a simplified comprehensive analysis of the data. Firstly, it will be important to note that this analysis will solely be based on the present data given, without regard to specific events or external factors such as market opening/closing hours, weekends, holidays, or the release of key financial news and reports. Also, this analysis will not forecast any future trends.Overall Trend Analysis
The ZAR exchange rate seems to show a generally increasing trend over the period under review. Although there are slight fluctuations, it can be observed that the opening rate at 0.07126 gradually rose to 0.07218 around 2024-04-25 06:45:02. Even though it decreased shortly after, it picked up again and continued increasing to end at 0.07175. Nevertheless, the rate did not substantially deviate from the initial rate, signifying a relatively stable trend.
Seasonality or Recurring Patterns
Upon examination of the dataset, it appears there is no evident seasonality or recurring pattern in the changes of exchange rates. Although there is a certain level of variation in the rate, the deviations seem more random than systematic and do not indicate a clear consistent pattern or cycle. Therefore, one could say the changes in the rate at the timestamp intervals are possibly influenced by factors not included in the given dataset.
Outliers Identification
Outliers in financial time-series data can often indicate anomalies in market conditions or transitions in financial policies. However, within the provided dataset, no significant outliers are present. The exchange rates seem to hover within a relatively tight range, suggesting a certain level of market stability during the period in question. While there are minute fluctuations between timestamps, none of these signify a significant deviation from the general trend.
This analysis provides a broad overview of the dataset and identifies key features. However, it is also worth noting that a deeper analysis could potentially reveal more intricate patterns and nuances not immediately evident in this elementary stage.