2024-04-16 Quetzal News
2024-04-15
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
General Overview of Data
The given data is in time series format that indicates the GTQ exchange rate changes at different instances of time, specifically every 5-minute intervals. This microscopic interval allows for a comprehensive view of how the rate changes within a day and across days. By focusing on this data, we can gain actionable insights about its overall trend, seasonality or recurring patterns, and unusual behaviour.
Trend Analysis
The overall trend of the GTQ exchange rates needs to be visually evaluated using a trend line or moving average in a time-series plot. However, from a glance at the data, it and appears that the GTQ exchange rate fluctuates within a narrow band for the period observed. Any clear upward or downward trends will only be confirmed by a detail plot.
Seasonality and Recurring Patterns
By analysing hourly, daily, and possibly weekly patterns, we can determine if any seasonality exists in the data. The objective is to find patterns that repeat at regular intervals. This can be done by visually inspecting the data or through time-series decomposition.
Outliers Analysis
We can observe for any significant spikes or drops in the exchange rate, which can be classified as outliers. In the event of deviations significantly from its local average value, we may require more advanced statistical methods, such as the Z-score or the Interquartile Range (IQR), to confidently detect and verify these outliers. Such occurrences might indicate drastic market events during those periods. However, specifically looking at minute by minute data, these might also just be noise introduced by the high frequency of the data.
Considering the stipulations provided that external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports should not be considered, this analysis focuses purely on statistical and data-driven insights.