2024-04-29 Quetzal News
2024-04-28
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. Understanding the overall trend of the exchange rates
Upon analyzing the given dataset, it appears that the gtq exchange rate seems to moderately fluctuate over the period shown. The exchange rate started at 0.17367, and by the end of the data set taken on 2024-04-26 14:00:01, it stands at 0.17567. This shows a slight increase in the gtq exchange rate. While the exchange rate does fluctuate during the period, the overall trend throughout this time series is moderately rising.
2. Identifying any seasonality or recurring patterns
In reviewing the dataset, some recurring patterns can be observed in the given timelines. However, it is challenging to identify precise seasonal trends strictly from the provided data, especially since there are multiple data for each day at various times. The GTQ exchange rate does appear to exhibit some degree of volatility, with periods of relative stability being punctuated by increases or decreases. The lack of clear seasonality might be due to the influence of various market dynamics that are not reflected in the dataset.
3. Noting any outliers
Several points can be considered as potential outliers where the exchange rate deviates from the typical range substantially. Instances include those where the exchange rate exceeds 0.176 or where it slides below 0.174. However, these outliers do not seem to be extreme or dislocated from the dataset significantly. These may be driven by various factors such as market dynamics, economic news, macroeconomic events among others. In identifying these outliers, it is vital to consider the inherent volatility of currency exchange rates, which can lead to sharp movements in either direction.
Final Thoughts
Note that analyzing time-series financial data like this requires advanced techniques to draw meaningful insights. In-depth and more accurate assessments can be often achieved through utilizing statistical techniques such as regression analysis, volatility modeling, or frequency domain methods. Additionally, taking into account market opening/closing times, weekends and holidays, and impacts of significant financial news or events might often be key in understanding exchange rate movements more accurately.