2024-04-22 Baht News
2024-04-21
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of the Trend
From the data provided, we can observe that the exchange rate of THB has exhibited a subtle volatility throughout the timeline. Nonetheless, it's essential to note that the fluctuations are not indicative of an explicit upward or downward trend. Instead, the rate appears to oscillate around a particular mean, implying a relatively stable trend within this given period. The rates range between approximately 0.03674 and 0.03775.
Identifying Seasonality
The dataset provided does not seemingly exhibit a seasonality pattern. The changes in exchange rates appear to be random variations rather than recurring patterns over periods such as days, weeks, or months. This randomness implies that the exchange rate changes are likely influenced by numerous complex factors, including economic indicators, market demand and supply, among others.
Outliers in the Data
While a more detailed statistical analysis would be needed to definitively identify outliers, a general overview of the data does not indicate the presence of significant outliers. The exchange rates provided in this dataset fall within a relatively tight range, and no values deviate excessively from this range.
However, the highest value 0.03775 and the lowest value 0.03674, though not necessarily classified as outliers, do standout in this dataset and would warrant further investigation. Yet, they do not drastically diverge from the overall trend and may be attributed to routine market fluctuations rather than anomalous events.
Note: It is important to bear in mind that financial times series data, such as exchange rates, are influenced by a myriad of factors (economic indicators, geopolitical events, etc.) that cannot be effectively captured by viewing the data in isolation. Therefore, further impacting the variability and unpredictability of such data series.
