2024-05-07 Baht News
2024-05-06
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
Understanding the Overall Trend of Exchange Rates
Upon preliminary observation of the provided time series data, there seems to be less change in the THB exchange rate. The rate fluctuates between 0.03714 and 0.03725 throughout the day with no drastic rise or drop observed. It can be noted that the exchange rate remains fairly stable throughout this dataset, which only represents a single day's worth of trading hours.
Identifying Seasonality
The concept of seasonality typically refers to short-term regular variations or patterns in data that occur periodically within a one-year span. However, given the single day's worth of data presented, it's difficult to confirm any recurring seasonal patterns in exchange rate changes. For example, if we were to have a data set covering multiple days, weeks, or months, we may be able to observe recurring trends related to opening and closing of markets, weekdays versus weekends, or end of the month behavior.
Outliers Identification
When it comes to outliers, there appears not to be any highly unusual values that dramatically deviate from the general pattern in the dataset. The exchange rate fluctuates within a thin band, and without a significant spike or slump, we can conclude that there are no notable outliers in the data. However, keep in mind that interpretation of outliers can be subjective and can vary depending on analysis goals.
Note
Please note that without considering specific external events such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, the interpretation of the trends could be limited. These factors can largely impact the fluctuations in the exchange rates and provide deeper insight to the detailed analysis.
In addition, more historical data would provide a more comprehensive trend and seasonality analysis as this data set appears to represent just one day's worth of exchange rate data.