2024-05-02 Bulgarian Lev News
2024-05-01
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
The time series provided records the values of the BGN exchange rate against another unspecified currency over a single day from 2024-05-01 00:00:03 to 2024-05-01 23:55:02. The data indicates that the exchange rate started at around 0.75166 at midnight, fluctuated up and down during the day, and by the evening it had come down to near 0.74878. Therefore, the overall trend for this specified date is slightly downward. However, the fluctuation of the exchange rate maintains within a narrow range and the overall decline is quite small.
Seasonality and Recurring Patterns
Given the constraints specified in the analysis and the short time span covered by the data (24 hours), it is not possible to detect a solid seasonality or recurring patterns in the exchange rate from the dataset. In order to identify any seasonality or recurring patterns, more extended time series data stretching over weeks, months, or years would be required.
Identification of Outliers
Outliers represent the values that significantly vary from other observations. In this specific dataset, the minimum value of 0.74748 and the maximum value of 0.7518 are the potential outliers as they are the most distant from the mean rate. These outliers, however, are not representing a significant deviation since the variation of the data is quite small. As the given task precludes any consideration of external events, these potential outliers are not necessarily "unexpected".
Please note, this is a very high-level analysis based on the limited data provided and specific constraint of not considering external factors. For a more accurate, comprehensive, and meaningful financial analysis, greater contextual information, and a much broader dataset would be necessary. This would typically involve the analysis of data over a longer time period, considering external factors and understanding the macroeconomic factors at play during the period.