2024-05-06 Rand News
2024-05-05
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
Overall Trend Analysis
Looking at the dataset provided, it appears that the exchange rate has experienced both minor increases and decreases, making it somewhat volatile within the period. This behavior is often typical for financial markets. However, it's important to note that the changes are relatively small and without a clear, long-term increasing or decreasing trend. It suggests that the exchange rate remains pretty much stable within this period.
Seasonality or Recurring Patterns
From the data it seems there are daily fluctuations where there will be a period of increase, followed by a decrease, but these fluctuations do not necessarily appear to be consistent throughout. Therefore, no apparent seasonality or recurring pattern can be confidently identified from this dataset.
Outliers Analysis
An analysis of outliers is generally conducted to detect any values that deviate significantly from the general pattern, this might represent unusual events in the market or errors in data collection. A straightforward measurement like Z-score or a visualization method like box plot could be typically used. Such analysis requires calculated statistical measures like mean and standard deviation, which cannot be done just by examining the dataset on hand. Anyway, an in-depth outlier analysis would aid in giving more insights.
As per the requirement, any specific event or the external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports have not been considered. Therefore, some of the observations or patterns identified here might be the result of such external factors. An analysis of such factors could potentially bring out more patterns and insights.