Summary of Last Week
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Understanding the overall trend of the exchange rates
The overall trend of the exchange rates over the data provided seems to fluctuate without a clear direction. During a specific day, there are periods where the exchange rate increases, followed by decreases. However, a more comprehensive trend analysis would require a longer dataset covering multiple months or even years. It is important to note that financial data like exchange rates can be influenced by a multitude of factors, both microecononomic - such as interest rates, inflation, and public debt - and macroeconomic - like political stability, performance of other currencies, and overall health of the economy.
Identifying any seasonality or recurring patterns in the changes of exchange rates
Grasping seasonality or recurring patterns in exchange rates can be quite challenging due to the complexity and diversity of the influencing factors. From the data provided, it doesn't seem to show significant seasonality or recurring patterns. In other words, the values don't consistently repeat over a definite period (e.g., every day or week). However, there may exist minute fluctuations within their respective days. Such patterns may be due to regular trading hours, although further analysis would be required to confirm this.
Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
In the dataset provided, notable outliers or drastic changes are not evident. This dataset shows typical fluctuation, which is common in such time-series data. An outlier would typically appear as a sudden and significant deviation from previous data points, either spike or drop. Exchange rate movements are affected by numerous factors, many of which may not be immediately apparent in the dataset we have. Also, these data points might represent market responses to unknown events or changes that were not captured in this dataset.
It's worth noting that this analysis was carried out without external context like market conditions, political events, or policy changes. These factors can significantly impact the exchange rate and can cause outliers or abrupt changes.