2024-04-18 Rand News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. General Trend of ZAR Exchange Rates
The dataset provided spans over approximately 24 hours, presenting a short-term view of the ZAR exchange rate. Examining the series, it appears that the exchange rate remained relatively stable throughout this window. The exchange rate started at 0.0726 and ended around 0.07248, with minor fluctuations in between. Although some increases and decreases can be noticed at different time intervals, the exchange rate generally remained within 0.0723 to 0.0729 range with no significant downward or upward trend identified.
2. Seasonality in Exchange Rate Changes
Given the limited time window, it is challenging to confidently point out any recurring patterns or seasonality. While there may be slightly more fluctuations during certain hours, it does not provide a strong basis to infer concrete seasonality trends. An analysis over a longer period may yield clearer evidence of any recurring hourly, daily, or weekly cycles in the data.
3. Outliers in the Exchange Rate
Most of the rates are around the 0.0724 to 0.0726 area. However, there are a few datapoints that stand out as potential outliers. For example, the rates of 0.07276 and 0.07233 recorded at the timestamps 2024-04-17 16:05:03 and 2024-04-17 16:20:03, respectively, significantly deviate from the trend. Such movements could be due to an array of factors like sudden changes in market conditions, economic indicators, or other market sentiment factors. However, the analysis of such factors is outside the scope of this review as per the instruction.
Overall, the ZAR exchange rate depicted within this 24-hour window showed stable behavior with slight fluctuations from time to time. Notably, no clear increasing or decreasing trend was present, and while a few potential outliers were identified, no definitive trend of seasonality or periodicity could be determined given the short timeframe of the data.