2024-04-18 Netherlands Antillean Guilder News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of ANG Exchange Rate Time Series Data
The provided dataset consists of a variety of time-series data that shows the changes in exchange rates of the ANG currency at different timestamps. The following is a detailed analysis of this data set:
1. Understanding the Overall Trend
The overall trend of the exchange rates appears fluctuating over the duration of the data recording. To gain more precise insight into whether the exchange rate typically increases, decreases, or remains stable, the average changes in the exchange rate over specified intervals can be calculated. From a quick overview, it is noticed that the exchange rate oscillates, showing no noticeable upward or downward trend, implying a somewhat stable ANG currency over this duration.
2. Seasonality or Recurring Patterns
Time-series data often exhibits patterns, referred to as seasonality, which repeat over predictable time-intervals. To detect these patterns, we can graph the data and visually check for recurring fluctuations that happen at regular intervals. Given the granular level of provided timestamps, this analysis can be done on an hourly, daily, weekly, or monthly basis. From the quick overview of values, there seems no obvious regular variance, suggesting that there may not be a discernable seasonality in the data. However, to confirm this, a detailed seasonality analysis might be carried out.
3. Outliers Identification
An outlier is a data point that deviates significantly from other observations. It can be due to variability in the data or experimental errors. In financial time-series data like this, it could be due to drastic changes in the currency exchange market at certain times. Based on the limited data presented until now, a detailed outlier analysis has not been carried out, but this would entail identifying instances where the change in the exchange rate significantly differs from the general fluctuations or trends observed during the period.
Note: The instructions explicitly state not to take into account factors like market opening/closing hours, weekends/holidays, or release of key financial news and reports. These are important elements that often affect exchange rates and can be correlated with fluctuations in the data.