2024-03-12 Baht News
2024-04-23
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 Overview
The data set provided captures the exchange rates (Thai Baht - THB) at different time intervals. The timestamps range from 00:00:02 on April 23, 2024, to 23:55:02 on the same day - a complete 24-hour period. The exchange rates range between 0.03697 and 0.03708.
Overall Trend
The general trend of the exchange rate over this period seems to be quite unmoving. The figures of the exchange rate across the day show minute fluctuations, with somewhat seemingly random ups and downs. The rate starts at 0.03702 at the beginning of the day, experiencing slight decreases and increases throughout the day, and finally ends at 0.03704 at the day's end. Thus, the overall change in the rate during this period is quite negligible.
Seasonality
Within the context of this 24-hour period, there is no evident recurring pattern or seasonality in these exchange rates based on the data given. The exchange rate fluctuations do not show any clear repetition or periodic sequence at certain hour intervals. Any perceived patterns may require a longer period lens or additional external influencing factors to be considered which are not part of this specific analysis context.
Outliers
Regarding outliers, all values, namely the maximum value (0.03708) and minimum value (0.03697), fall within a very tight range with a difference of 0.00011. This suggests that there are no extreme outliers in this data set since all rates are relatively close to each other. However, a more technical statistical method might have to be applied to identify subtle outliers in the data set.
Conclusion
In conclusion, the THB exchange rates given in this succession of time series data for the 24-hour duration on April 23, 2024, show minor fluctuations, hardly maintain a stable rate throughout but do not provide clear evidence of any seasonal pattern within this specific duration. While there are no significant outliers in this simple observatory analysis, a more in-depth statistical analysis could provide a better classification of potential subtle abnormalities in the data.