2024-05-07 Rial Omani News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Trends
The given dataset shows changes in the exchange rates (OMR) at different timestamps. After analyzing the provided data, it seems that there is a general decrease in the exchange rate throughout the course of the dataset. This trend started from the rate of 3.55768 and ended at 3.55393.
Seasonality Evaluation
Talking about the potential seasonality or recurring patterns in the dataset, it appears that the data does not exhibit clear seasonality upon first observation. Any minor fluctuations could be possibly due to inherent market volatility, which would be aligned with the nature of foreign exchange markets.
Identification of Outliers
Judging by a quick visual inspection of the dataset, no prominent outliers are noticeable. The variance overall seems to be quite steady, and there doesn't seem to be any drastic jumps or dips that could be regarded as rare or abnormal. However, a statistical test such as the Z-score or the IQR method may provide a more concrete conclusion on this subject.
Additional Context
It's important to note that these exchange rates can be influenced by a plethora of factors. The rates are highly sensitive to geopolitical events, economic news, and other macroeconomic indicators, which have not been considered in this analysis, as per your instructions. Therefore, this interpretation of the trend, of outliers and potential seasonality, should be understood as a basic, high-level analysis that does not account for such factors.