Summary of Last Week
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
From the given Time-series data on exchange rates, we can draw a meaningful conclusion about the trend, patterns, fluctuations, and shocks in the rates.
Understanding the overall trend of the exchange rates:
The overall trend of the exchange rate over the period illustrated on the dataset can be analyzed by considering the starting and ending points of the data, as well as visualizing the data in a time series plot. Generally speaking, if the ending point of the trend line is higher than the starting point, it denotes that the exchange rates have increased over time. Conversely, if the ending point is lower than the starting point, it means the rates have decreased over time. If there are no significant differences, then the trend is relatively stable.
Seasonality refers to periodic fluctuations that occur regularly based on a season. It's a pattern that repeats for a fixed period. It could be observed in the dataset for the XDR exchange rate with some days of weeks/months showing higher exchange rates than the others. For instance, if every month has a peak in a specific period week/month, we could say that there is a monthly seasonality.
Outliers in Exchange Rates:
An 'outlier' is an observation that lies an abnormal distance from other values in a random sample from a population. The outliers in this dataset are notable instances where the exchange rate significantly diverges from what was anticipated according to the trend or seasonality. Detecting outliers in the dataset would require statistical analysis using measures like the Z-score, IQR score, etc.
Please note: This analysis doesn't consider specific events or factors like market hours, weekends, holidays, or financial news and reports. Such external factors can significantly impact the foreign exchange market and thus the XDR exchange rates as well, but they are beyond the scope of this analysis.
Remember, this assessment is not predicting future rates but rather analyzing the existing data pattern.