2024-05-13 Australian Dollar News
2024-05-12
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
Based on the time series financial data provided which records the AUD exchange rate at different timestamps, we can provide a comprehensive analysis which addresses trend, seasonality or recurring patterns and any distinct outliers to give an overall understanding of this dataset.
Overall Trend
When interpreting this time series data, it is observed that there's a general fluctuation in the exchange rates over the given period. While specific figures aren't mentioned, it’s noticeable that there are periods of increase and decrease in the AUD exchange rate, creating a somewhat volatile trend. The noticeable rate fluctuations suggest that overall, the exchange rate neither consistently increases, decreases, nor remains stable over time.
Seasonality and recurring patterns
Reviewing the dataset for recurring patterns or seasonality, it appears there is no clearly discernible pattern repeating at regular intervals. The exchange rates show changes that do not seem to adhere to a consistent pattern tied to a specific time of day or specific dates, implying that other factors may contribute to these changes rather than time-bound factors alone.
Outliers
There are several instances where the exchange rate alters notably from the general trend. These instances may be considered as outliers as their occurrence sways from the expected exchange rate based on the prevalent trend. However, pinpointing specific cases is challenging due to the lack of a absolute consistent trend. These types of fluctuations are common in financial data and may be a result of various factors beyond the control of regular market mechanisms.
In conclusion, the AUD exchange rate over the provided period shows considerable fluctuation with no discernible consistent trend or seasonality and a number of standout fluctuations. This indicates the exchange rate is influenced by multiple factors and is not strictly time-dependent. It is advisable to use time series analysis methods along with consideration of external factors for more accurate forecasting in the future.
Note: As requested, specific external factors like market opening/closing hours, weekends/holidays, and any key financial news or reports were not considered in this analysis. Therefore, the assumptions made purely focus on the numbers and dates provided in the dataset.