2024-05-06 Quetzal 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
1. Overall Trend of Exchange Rates
Starting from an exchange rate of 0.17388 on 2024-04-05, the rate shows fluctuations along the sampled timestamps, but towards the end date, we can observe a slightly higher value than the starting point. The highest value in this dataset is approximately 0.18, and the lowest is around 0.173. The exchange rate does not remain entirely static over the period, nor does it show a consistent growth or decrease. However, noticing the starting point and the overall highest and lowest points, it can be stated that there's a very slight increasing trend over the period.
2. Seasonality in Exchange Rate Changes
Upon studying the data, there doesn't appear to be a discernable recurring pattern that could point towards a seasonality effect within these observations. The changes in the exchange rate values seem quite random, with no consistent up or down pattern occurring across evenly spaced time intervals. It is important to note that time-series analysis often requires a larger dataset ranging for several years to clearly determine and validate the seasonal patterns.
3. Identified Outliers in Exchange Rates
On a quick review of the dataset, no significant outliers were immediately discernable. Most changes in rates throughout the dataset are in the order of thousandths, implying moderate fluctuation with similar magnitudes throughout the dataset. Major outliers - if any - would significantly deviate from this common pattern of fluctuation. However, a statistical analysis would give a more accurate identification of outliers.
4. Other Observations
While the overall trend shows a very slight increase, it's noteworthy that there are frequent dips and peaks within short periods, pointing to the GTQ's likely volatility during this period. Intriguingly, there seems to be generally a bit more variability between different readings on the same day compared to day-to-day changes. This could imply that the nature of the changes is rather quick and could be influenced by very short-term factors.