2024-04-19 Australian Dollar News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1.Overall Trend Analysis
From a preliminary glance at the dataset, it's clear that we'd need a more rigorous method to determine the overall trend. However, if we consider the start and end points of the data series, we can observe a slight decrease in the exchange rate. This suggests that over the given period, the AUD has slightly depreciated against the other currency. Further analysis with a trend line would give a more conclusive picture.
2.Seasonality and Recurring Patterns
Identifying seasonality or repeated patterns from the raw dataset can be challenging due to the fine granularity (every 5-15 minutes) of the data. A graph with timestamps on the x-axis and exchange rates on the y-axis could be helpful in visually assessing any regular fluctuations, such as intraday movements. Furthermore, we could utilize time series decomposition methods to formally determine any seasonal patterns within the data.
3.Outliers Identification
Outliers in this context would be those values that deviate significantly from the general trend. Identifying outliers would require statistical analysis, including methods like Z-score, IQR method, or even a simple box-plot could help to visually identify any outliers. Based on these methods, we can establish a threshold beyond which the exchange rates would be considered extreme/outliers.