2024-04-19 Rial Omani News
2024-04-18
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. Overall Trend of Exchange Rates
Visually looking at the values, it appears that the overall exchange rate has a fluctuating nature. At the beginning of the period, the exchange rate is around 3.57314, and it experiences slight increases and decreases over time. Near the middle of the period, the rate goes up to about 3.57998 which is the highest, then there is a notable decrease near the end with a rate around 3.56600. It implies an overall trend of increase followed by a decrease over the time period shown, but more in-depth statistical analysis would be necessary to examine the rates further.
2. Seasonality or Recurring Patterns
At first glance, it's difficult to determine clear patterns of seasonality just by looking at the raw values, due to the high variability in the data. The data does not display clear cut repeating patterns or trends over equivalent time intervals. A further and deeper investigation like a periodogram or autocorrelation analysis could provide more concrete information about possible seasonality in the data.
3. Outliers Detection
When discussing outliers in this context, we refer to values that deviate significantly from other neighbouring points. Such points may occur due to market volatility, misentered data, or some other unpredictable event. However, based on the provided time series data, there isn't any blatantly clear outlier. Yet to be sure, it would be very beneficial to perform an outlier detection test using statistical methods as the human eye might miss some mistakes due to the large volume of the data.
