Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
First, let's start with the dataset provided. The time-series data provided gives exchange rates at regular and specific intervals, allowing us to do some form of an analysis. Right away, it's important to note that the data provided does not seem to have any missing timestamps or exchange rates, hence it's a complete dataset for the period specified.
Understanding the Trend of Exchange Rates
Without proper visualization, obtaining an actual trend might be challenging. However, basic interpretation from the data points to a generally increasing trend in the exchange rates. For instance, the rate starts at around 0.88194 and ends at around 0.88622. During the period, the exchange rate seems to have increased, albeit slightly. Thus, this indicates a general upward trend in the value of the AUD during the dataset's period.
Identifying Seasonality in the Changes of Exchange Rates
Identifying the seasonality of exchange rates typically requires a larger dataset spanning at least a year. That would allow identification of repeated patterns during specific seasons or months. From the given timeframe of data, which is around a few days, making conclusions about recurring patterns of change during the day might not be very accurate.
Generally, exchange rates fluctuate depending on the market opening and closing, geopolitical news, and different economic activities. From the data given, it is not easy to define a specific pattern of change recurrently. The data does not show a stable cycle that would indicate a pattern in the exchange rates.
Identifying Outliers in the Exchange Rates
Outliers are significantly different values from the rest. They can be way higher or lower than the normal trend. From the data provided, there isn't a conspicuously high or low rate that deviates significantly from the rest. Therefore, it can be concluded that there are no significant outliers in this dataset.
A more robust analysis might require further exploration, including visualizing the trend and performing statistical tests for understanding whether the increases and decreases are significant or random, and detecting outliers.
It should also be noted that exchange rates are highly impacted by a lot of variables like trade balances, inflation, interest rate changes, geopolitical stability, and so on. Hence a thorough foreign exchange analysis requires a lot of multidimensional socioeconomic data.