Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Data Interpretation:

The dataset comprises a time-series data of changes in the exchange rate referred to as GTQ taken at different timestamps. An examination of the dataset can yield interesting characteristics such as trends, seasonal patterns, and outliers. These findings provide an in-depth understanding of the data.

Overall Trend:

The overall trend of the exchange rates in this dataset seems to be fairly stable, with a slight increase over time. There's a small decline in the first couple of hours from 0.17607 to 0.17598. After this initial dip, the trend stabilizes and then slightly increases across the given period to reach a high of 0.17681, before it starts to stabilize again. Though the changes are not drastic, this does showcase a potential upward trend in the data.

Seasonality or Recurring Patterns:

From the given dataset, no obvious seasonal or recurring patterns can be identified. Exchange rates vary throughout the day, but there doesn't seem to be a fixed pattern when the rates increase or decrease substantially. This suggests that more granular data might be needed to observe daily patterns or that the rates are impacted by factors not included in this data set.

Outliers:

A detailed statistical analysis would be required to provide a robust identification of any outliers in this dataset. However, from an initial view, there don't appear to be any drastic or sudden changes in the exchange rate that would signal an outlier. The rates seem to change gradually and consistently throughout the dataset. Again, a deeper analysis might reveal subtle movements that could be considered outliers within their context.

It's vital to remember that these insights are based on an initial, simple analysis. Deeper and more advanced statistical methods could yield additional insights, nuances, and patterns in the data.

External Factors:

Although not directly asked for, it's worth noting the significance of external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. While these factors aren't considered in this analysis, they may indeed have an impact on the exchange rate fluctuations and could be leveraged in a more advanced analysis of the data.