OMR Exchange Rate Reveals Unexpected Upsurge Throughout Days Trade
2024-04-29
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
Overall Trend of Exchange Rates
Based on the dataset provided, the overall trend of the exchange rate for OMR seems to be increasing. Starting at the rate of 3.54979, the data exhibits periods of rise and falls, however, by the end of the dataset, the rate has increased to slightly above 3.55409. This represents an overall upward trend, though the changes are quite small and gradual, spread out over the entire period.
Seasonality and Recurring Patterns
Analysing time-series data for seasonality or recurring patterns requires awareness of the time scale and the specific characteristics of the dataset. From the dataset, it is challenging to directly infer on a daily basis if there's any noticeable seasonality since the data points represent a single day. However, the data shows some regular fluctuations on an intraday level which can be associated with the daily trading session's volatility in the foreign exchange market. An in-depth historical dataset covering weekly, monthly or annually would aid in decrypting any seasonality of the OMR exchange rates.
Notable Outliers
Outliers in a dataset are values that are remarkably different from the other observations. In this exchange rate dataset, an outlier would be an exchange rate that is significantly higher or lower than the rates before and after it. Upon review, there don't appear to be any large jumps/drops in rates that would signify an outlier within this dataset. The exchange rates seem to fluctuate mildly in a possibly systematic manner rather than exhibit abrupt changes. However, for precise identification of outliers, a statistical model often proves helpful.
Please note, further in-depth analysis with more historical data and application of statistical modeling and hypothesis testing would provide more accurate insights and forecasts.
