Summary of Yesterday

• Opening:
• Closing:
• Difference of Opening & Closing:
• Daily High:
• Daily Low:
• Difference of Daily High & Low:

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend Analysis

Upon analyzing the timestamp compared to the XCD exchange rate, it is observed that the rate remains relatively stable over the period, with slight fluctuations of increase and decrease around what appears to be a constant value. The observed fluctuations do not present a consistent trend of increasing or decreasing over the timespan. The entirety of the dataset remains within a tight range of 0.50513 to 0.50791 and this narrow range underpins the hypothesis of a generally stable exchange rate.

Seasonality or Recurring Patterns

Within the stable exchange rate, there are indications of microscopic fluctuations that may point to a recurring pattern. For example, multiple instances of small decreases are often followed by small increases and vice versa, suggesting short-term predictability or cyclicality within the larger stability of the exchange rate. Without a larger and dilated dataset, conclusions about seasonal variations would be speculative as this data only includes one day's worth of observations.

Identifying Outliers

As per the volatility of the dataset, there seem to be no significant outliers of note. The XCD exchange rate throughout the analyzed period did not witness drastically sharp rises or large falls, which might have suggested an anomaly. All changes seem to be within the usual operating range for these types of financial assets, adhering to the stability of the exchange rate. There was a small spike experienced around 07:30, reaching a relative peak of 0.50791, however, it quickly stabilizes again.

Sourcing from the volatility of exchange rates largely stems from macroeconomic factors, such as changes in interest rates and inflation. The absence of these factors in the analysis must be considered while making any strategic decisions based on this data.

Without Considering External Factors

The dataset does not accommodate for external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. While it is critical to remember that temporal parameters often have a massive impact on exchange rates, the nature of this analysis does not account for them. Hence, considering these could potentially provide substantial insights into the reasons behind certain changes or phenomena observed in the data.

All these findings are underpinned on the notion that previous patterns will remain in future, which is not a guaranteed scenario in the ever-changing financial markets. Information derived from this dataset should be used in combination with other pillars of financial analysis for best results.