2024-05-06 Baht News
2024-05-05
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
Overall Trend Analysis
Upon analyzing the data set, we observe that the exchange rate value (THB) shows a general fluctuation over the given period; the rates overall increase or decrease but overall no specific long term upward or downward trend can be identified just from looking at the data. However, we can't conclude that rates are completely stable either, as the rates fluctuate frequently, although within a narrow range.
Identifying Seasonality or Recurring Patterns
With respect to seasonality or recurring patterns, the given dataset is not sufficient to establish any substantial seasonality trends, as the data set spans only a single month. Seasonality usually requires a longer timespan (e.g., several years) and a granularity matching the supposed period (e.g., daily data if we suspect a yearly cycle). Nevertheless, there are frequent ups and downs observable in the data, suggesting short-term correlations or autocorrelation in the time series. However, without a specific test (like an autocorrelation function test), it is not possible to definitively state that these recurring patterns are statistically significant or due to random noise.
Outlier Identification
In terms of outliers within this dataset, no significant outliers can be identified. The THB exchange rates generally fluctuates within a very close range and there are no instances where the rate differs significantly from the overall trend or range. Therefore, we could conclude this dataset doesn't appear to have any significant outliers, suggesting a stable foreign exchange environment during this time.