2024-04-22 Balboa News
2024-04-21
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
1. Understanding the Overall Trend of the Exchange Rates
From an initial review of the dataset, it appears that the exchange rate fluctuates frequently throughout the given period. However there is no clear linear trend of consistent increase or decrease across the entire dataset. Nonetheless, certain short-term upward or downward trends can be observed within smaller subsets of the data. For example, a consistent increase can be seen in the period between March 22nd 2024 and March 26th 2024, while a decrease can be observed in the period from April 10th 2024 to April 11th 2024. Hence, it would be more accurate to state the exchange rate for this period displays volatility rather than a constant upward or downward trend.
2. Identifying Seasonality or Recurring Patterns
Due to the iterative nature of the data and the fact that it spans only a month, it is challenging to accurately identify any seasonality or recurring patterns. However, increased volatility can be observed at certain intervals, which may be indicators of potential recurring patterns. For instance, the exchange rates see significant movement around the start and end of the day with periods of lower volatility in between. However, without a larger dataset encompassing multiple years, it is difficult to firmly establish these as recurring patterns rather than coincidental occurrences.
3. Noting Outliers in the Data
Several outlier rates can be identified in the dataset where there is an unexpected sharp rise or fall. For example, the rate at '2024-04-16 08:00:02' was significantly higher than the surrounding data points, and similarly for the rate at '2024-04-10 08:00:03'. These outliers can sometimes be due to market-specific events, extreme macroeconomic conditions, or errors in data reporting. However, without additional information, it is not possible to validate the cause of these unusual fluctuations.
Please note this analysis is solely based on the provided data and does not incorporate any external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Further analysis could be conducted if these factors were to be taken into consideration.