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

Data Analysis

Before starting with the analysis of the XCD exchange rates over different time frames, it's important to note that the nature of financial data is fairly complex. This complexity stems from the fact that financial data does not always follow a predictable pattern and can be influenced by many macroeconomic factors.

Overall Trend

From the provided data, the exchange rate seems to be fluctuating continuously, but within a specific range. It shows both upward and downward movements over time but maintains a certain level of balance. According to the initial and final data points, the rate has a slight increase trend, rising from approximately 0.50 to 0.51 over the analyzed period. But nothing can be inferred from this slight increase and overall the exchange rate seems to be fairly stable during this period.

Seasonality or Recurring Patterns

As the data provided covers a limited duration and is not divided into specific seasons or cycles, identifying seasonality or recurring patterns is not an easy task. However, it's always beneficial to plot the data over time to visually identify any potential patterns or seasonality. In the case of this particular dataset, due to its short duration, no evident recurring pattern or seasonal trend can be made out, based solely on the figures provided.

Outliers

Generally, outliers in financial time series data are the results of an abrupt reaction to an unanticipated event. Unfortunately, without explicit anomalies or the context of events, it can be difficult to accurately identify outliers in the dataset. Nonetheless, sudden large upward or downward movements in the exchange rate, significantly different from the rest of the data, may be considered as potential outliers. From the dataset provided, there is no such extreme deviation observed.

Conclusion

In conclusion, while the exchange rates fluctuate over time, they maintained relative consistency within a certain range in the period shown. The rates show no evident seasonality or recurring patterns based on the existing data, and there are no clear outliers that suggest significant deviations from an established trend. Please note that in-depth analysis of financial time series data often requires a more detailed dataset as well as the knowledge about external factors like market events and news, which were excluded from this analysis.