2024-05-03 Rial Omani News
2024-05-02
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 Analysis
The overall trend of a data series refers to the consistent systematic upward or downward movement of the data over a prolonged period of time. In the provided dataset, the overall trend appeared to be fairly stable with a sight downward movement over the course of the day. There are no significant increases or decreases visible.
2. Seasonality and Recurring Patterns
Seasonal patterns are recurring patterns that might occur at specific times. The pattern can be hourly, daily, weekly, or even annually. Examining this dataset, it doesn't appear to have any consistent seasonal patterns. Importantly, financial data like foreign exchange rates are influenced by many variable external factors, making it challenging to discern discernible patterns. However, this analysis is based solely on the given data, and more extensive data might yield different observations.
3. Identification of Outliers
Gratifyingly, it appears that there are few significant outliers in this dataset. An outlier in a distribution is a number that is distant from the other numbers in the distribution. In this series, the data points roughly move around the same range with no extreme peaks or drops, suggesting a relative stability in the rate changes. However, small dips and rises can be seen which can be considered as mild outliers but there are no significant deviations that might suggest abnormalities in the dataset. Therefore, no drastic measures, or 'shocks', as they're called in time series analysis, are needed for this series.