2024-04-23 Baht News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Overall Trend of Exchange Rates
Upon initial inspection of the given dataset, it appears that the rates fluctuate rather linearly over time, with minor ups and downs. It's worth noting that the value mostly stays around 0.03700 - 0.03720 throughout the dataset, suggesting some stability. However, without more context or external factors, it is not possible to definitively determine whether the rates generally increase, decrease or remain stable.
2. Seasonality or Recurring Patterns
Directly eyeballing the data does not present any apparent seasonality or recurring patterns. Nonetheless, time-series analysis techniques offer a more granular view into potential recurring patterns. These include examining auto-correlations, or looking at the rate of change at similar intervals. From the overview, however, no clear seasonal effect or periodic fluctuation is visible.
3. Outliers
Finding patterns and outliers in time-series exchange rates, especially in the absence of external news events or context, is challenging as exchange rates are influenced by a multitude of factors. In this series, however, no significant outliers are immediately noticeable. The exchange rate sticks around a certain range throughout the series. There are no sudden spikes or drops which deviate from the rest of the data that could be classified as outliers.
More thorough statistical analysis might uncover subtle outliers or variations, but within this first level of analysis, the exchange rates presented are relatively stable, without any drastic peaks or valleys.
Conclusion
While more in-depth analytics might reveal nuances, the primary pass at the data indicates a generally stable exchange rate, lacking clear trends, seasonal effects, or noticeable outliers.
