2024-05-06 Rial Omani 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
Understanding the Overall Trend of the Exchange Rates
From the given dataset, it seems that the overall trend of the exchange rate over the period seen is an increase. There are fluctuations in the rate during the period - some periods of stability and some of decrease - but overall, the start value is around 3.52476, while the end value falls at 3.55540, which hints a general increase. However, fluctuations in the exchange rate indicate that there are times when the rate decreases before it increases again.
Identifying Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in a time-series dataset like this can be quite challenging, especially without the consideration of external factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports. However, the data provided does not seem to show any conspicuous seasonality or recurring patterns in the exchange rates, with the rates appearing to fluctuate in a somewhat random manner. There might still be more subtle patterns that are not immediately visible without a more in-depth analysis.
Outliers Identification
An outlier is a data point that differs significantly from other points in the dataset. From the data provided, there are no standout instances where the exchange rate differs significantly from what would be expected based on the trend. The values fluctuate between 3.52 and 3.58, indicating that the exchange rates stayed within a relatively narrow band during the period covered. It suggests that there is no extreme instability or unexpected changes in the market conditions during this period.
Please note that this is a simplified analysis, and much deeper insights could be gained through the use of more sophisticated statistical analysis methods and forecasting models.