2024-05-21 Netherlands Antillean Guilder News
2024-05-20
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
Overview of Trend
1. The data shows a variety of fluctuation in the ANG exchange rate over time. As it is time-series data, it reflects the value changes in a certain period - from 2024-05-20 00:00:02 to 2024-05-20 23:55:02. 2. The trend seems to show an overall increase in the exchange rate from a low of 0.75406 units to a high of 0.75806 units. Although there were times when the value decreased, on the whole, there was an upward trajectory.
Seasonality or Recurring Patterns
1. Understanding seasonality involves uncovering patterns of data changes at regular intervals. 2. At a glance, the dataset does not readily exhibit clear seasonality. The changes in exchange rates do not appear to be aligned with specific regular intervals. However, a more thorough statistical analysis (like autocorrelation) may reveal seasonal trends not immediately visible.
Identification of Any Outliers
1. Outliers are unique data points that deviate significantly from the expected trend. They can arise due to a variety of factors, including data input errors or genuine anomalies. 2. Without a more detailed statistical analysis, it's difficult to conclusively identify outliers in this dataset. While some exchange rates seem to buck the trend - such as the jumps to 0.75806 and drops to 0.75406 - it's hard to say if these are genuine outliers or part of the complex dynamic of the exchange rate.
Final Thoughts
It's important to conduct further in-depth analyses to confirm these observations and uncover more insights about the data. Although the provided analysis provides an initial overview of the dataset's characteristics, more sophisticated statistical modeling methods are required to fully ascertain and predict its future behavior.
