Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overview of Exchange Rates

From the dataset, it appears that the exchange rates fluctuate over the given time period. The data show both increases and decreases. At the beginning of the period, there is an increase from 0.46806 to 0.46857 at 2024-04-17 01:05:01. However, this is followed by a gradual decrease to 0.46731 at 2024-04-17 08:30:03. After this point, there is another gradual increase, peaking at 0.46796 at 2024-04-17 11:10:02. This pattern of rises and falls continues throughout the period under examination. There is no clear overall trend of whether rates increase, decrease, or remain stable, with the final data point at 0.46580 indicating a similar value to the start point.

Seasonality and Recurring Patterns

At a superficial look, it appears that there is little visible seasonality or recurring pattern in the exchange rate. The time period covered is less than a full day, making it hard to establish a clear daily pattern of rises and falls. The data does not indicate any significant time-dependent changes where the exchange rate would consistently rise or drop. Any significant fluctuations or repetitive movements within this daily cycle cannot be identified confidently.

Notable Outliers

There do not appear to be any substantial outliers in the given time period. Most changes between consecutive timestamps are relatively minor. There is a relatively significant drop from 0.46792 at 2024-04-17 01:50:02 to 0.46763 at 2024-04-17 01:55:02 but the change is not extreme and thus does not qualify as a truly significant outlier. Similar minor but notable fluctuations occur multiple other times in the data. Thus, the data are relatively consistent, with minor changes and without significant deviating outliers.

Considerations

• This analysis was performed on the sole basis of the numeric data provided and without considering external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Taking into account these factors may provide a more nuanced understanding of the exchange rates movements.
• The time series data is for a period less than a full day. Longer time period data might be required for a detailed and precise analysis of seasonality or recurring patterns.