2024-04-22 Dalasi News
2024-04-21
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
Overall trend of exchange rates
The overall trend of the GMD exchange rate over the period in this dataset shows slight fluctuation but generally remains stable. The rate starts at 0.01997 and ends at 0.02024 which implies no significant increase or decrease within this time period. While there are minor variations, no notable upward or downward trend can be observed.
Seasonality or recurring patterns
In the provided dataset, there are no obvious patterns that indicate seasonality. The exchange rates do experience fluctuations but these do not appear to be following a consistent seasonal cycle. This may imply that the exchange rate of the GMD is influenced more by factors not included within the dataset such as economic reports, financial news, or other external factors.
Outliers in the dataset
Digging deeper into individual instances of the data reveals only minor fluctuations, with no clear outliers detected. The rate mostly moves within the range of 0.0199 to 0.0203, and changes beyond this range are rare. This suggests a level of stability in the GMD exchange rate during the period in question, which is not disturbed by any major unusual occurrences or extreme events.
External factors and their impact
As mentioned, external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports were not considered in this analysis. The understanding of the GMD exchange rate trend is therefore purely based on the given numerical dataset. Any event outside this scope may likely influence the exchange rate, but these potential impacts could not be evaluated from the given dataset.
It's recommended that for a more comprehensive and detailed analysis, other potential influential factors should also be taken into account. This includes macroeconomic indicators, geopolitical events, and major financial news. However, these parameters are beyond the scope of the dataset provided and for a more precise forecast, additional data analysis and more sophisticated modeling techniques would be required.