2024-05-13 Tala News
2024-05-12
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 Analysis
The exchange rates demonstrated in the dataset seem to fluctuate over the given time period. To demontrate this, a detrended time series analysis would be needed. From a cursory glance, there seems to be a decreasing trend from in the first few days (April 12-18), but then it fluctuates. In the second week, the rates decrease again (April 24-May 1) and then start becoming a bit more volatile towards the end of the dataset.
Seasonality Analysis
As far as seasonality is concerned, in-depth analysis with specific seasonal decomposition models would be required for a better understanding. However, upon simple observation, there seems to be a cyclical pattern which correlates with the weekdays. This may be due to the opening and closing of the different global markets. It should be noted that more comprehensive investigation using decomposition models can further illuminate the patterns and their periodicity.
Outliers and Unexpected Values
An outlier analysis would require statistical testing but a basic surface level approach would be useful in a simple observation and interpretation case. From the data provided, there doesn't seem to be any significant outliers that would suggest unusual activity. However, a more accurate analysis should consider confidence intervals and measures such as standard deviation to accurately pinpoint any possible outliers.
Conclusion
In conclusion, from a basic visual and interpretative analysis, the dataset suggests that the exchange rates are generally decreasing but showing some cyclic behaviour likely related to weekday trading activity. No remarkable outliers have been observed in this evaluation. A more in-depth statistical analysis would be recommended to further study and validate these initial findings.
