2024-05-03 Sudanese Pound 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
Overall Trend Analysis
From the quick observation of the raw data, it appears that the SDG exchange rate has stayed relatively stable within the range of 0.0024 to 0.00241 for most of the timestamps, with a slight decrease in rates during some parts of the day on 2nd May 2024 - touching to as low as 0.00227. However, a comprehensive analysis would require charting these rates against the timestamps for a clear visual interpretation.
Seasonality and Recurring Patterns
Identifying seasonal patterns in time series data involves looking for regular, predictable changes in the data that recur every calendar year. From the provided dataset, it is difficult to determine if there is seasonality or recurring patterns since the data only spans for one day. A proper analysis in this regard might require a broader dataset which covers multiple days, months, or even years. This broader dataset would give a clearer picture if the SDG exchange rate has any hourly, daily, weekly, monthly, or annual seasonality.
Outliers
The exchange rate seems to have a sizeable yet temporary decrease at certain points where it drops to 0.00228 and then further to 0.00227. These instances could be considered as potential outliers in this dataset as the exchanged rate differed significantly from the stable rate of 0.0024 - 0.00241. However, a deeper analysis would be needed to formally classify these points as statistical outliers using approaches like the Z-score method or the Interquartile Range method.
Additional Considerations
External factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports have been noted as not to be considered in this analysis. These factors do tend to have an impact on exchange rates, yet will not form part of this data interpretation in line with the given directives
Note
It must be noted that this analysis is a very basic interpretation from a simple view of the data. For a more in-depth analysis, more sophisticated statistical and data analysis techniques would be needed, and also a broader dataset which covers a wide timeline would provide much more insights into trends, seasonality, and outliers.