2024-04-19 Baht News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
To analyze these data, I will divide the tasks into three main parts:1. Understanding the Overall Trend of the Exchange Rate
The data shows very minor fluctuations in the THB exchange rate over the given timeframe. However, we need to look at an aggregated view over a longer period to understand the overall trend. There does not seem to be a clear increasing or decreasing trend within the given data set. The data appears to be rather stable around the 0.0374 range. While minor fluctuations can be observed on this scale, they do not seem to significantly disrupt the overall stability of the rates.
2. Identifying Seasonality or Recurring Patterns
It is challenging to detect clear seasonality or recurring patterns within this dataset because the time span is relatively short, and data appears to be recorded every few minutes within a day. Despite this, by examining the data carefully, very slight fluctuations can be noticed at specific times of the day which might indicate some sense of daily recurring pattern. However, given the minor magnitude of these fluctuations, these should not be interpreted as strongly indicative of a daily trend. Further data spanning multiple days and weeks would be essential for a definitive conclusion about any potential recurring patterns.
3. Identifying Outliers in the Dataset
In terms of outliers, the dataset seems to be relatively consistent with no significant spikes or drops. There are few moments where the exchange rates drop to as low as 0.03735 and as high as 0.03745 which might seem a minor outlier in the dataset. However, given the overall consistency of the data and the minor magnitude of these variations, it may not be beneficial to consider these as outliers, especially without a clear and precise definition of what would constitute an outlier in this context. A more comprehensive statistical analysis would be necessary to definitively identify any outliers.
It should be noted that this analysis does not take into consideration external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, which can often have significant effects on exchange rates. The analysis was purely based on the provided data, and did not generate any forecast for future rates.