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

1. Overall Trend Analysis

Based on the time series data provided, it's observable that the XCD exchange rate fluctuated within a range of approximately 0.505 to 0.511 over the period represented. This fluctuation suggests a relatively stable market with minor volatility. To characterize the overall trend—whether it's increasing, decreasing, or stable—we must observe the data's initial and final points and its behaviour throughout the period analyzed. While there may be slight increases and decreases at various intervals, overall, the rates have mostly remained within the stated range, indicating a relatively stable overall trend.

2. Seasonality and Recurring Patterns

In the given dataset, it requires a more sophisticated method, such as decomposition or spectral analysis, to identify the existence of seasonality by separating the time series data into its components. However, upon preliminary observation, it's not explicit if there are significant seasonality or recurring patterns in the changes in exchange rates. If we observe the weekday/weekend difference or the differences between different times of the day (market opening/closing hours), there could be some regular fluctuations, but further analysis would be required to establish this with certainty.

3. Identification of Outliers

Provided the relatively tight range within which the exchange rates fluctuated (approximately 0.505 to 0.511), several data points could be considered outliers if they fall significantly outside this range. However, based on the given data, no such points are immediately identifiable. It's important to note that more sophisticated statistical techniques (like the Z-score or the IQR methods) can be used for a thorough identification of outliers.

Also, it's worth noting that the effect of this range might lower the effect of any potential outliers, as even the most drastic changes fall within a somewhat restrained scope. Overall, it seems that although minor fluctuations are fairly frequent, major anomalies are rare within the given timeframe.

Conclusion

In conclusion, the provided XCD exchange rate time series data showed a stable trend with slight increases and decreases over the period. In terms of recurring patterns or seasonality, no significant patterns were immediately identifiable, and likewise, no immediate outliers were found. In future analyses, it would be beneficial to incorporate factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports to provide a more comprehensive understanding of the dataset.