2024-05-06 Isle of Man Pound News
2024-05-05
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
Observations and Results:
Before we delve into the analysis, it is critical to note that, as per your instructions, this analysis is purely based on the provided data and does not consider external influences such as market opening or closing hours, weekends or holidays, or the release of financial news and reports.
1. Overall Trend:
From a high-level perspective, the exchange rates specified in the time series data display moderate fluctuations but generally indicate a slight increase over the time period under consideration.
2. Seasonality and Recurring Patterns:
While it's challenging to determine precise patterns due to the nature of financial markets and the fact the timestamps do not follow a strict daily regularity, it appears there is some degree of variability between particular time intervals. The dataset does not show clear seasonality or recurring patterns in changes of exchange rates.
3. Outliers:
Significant jumps or drops in the exchange rates, which could be categorized as outliers, are rare in the dataset. Most of the changes are rather incremental and consistent, suggesting a moderately stable market condition during this period. Nevertheless, without a defined 'normal' range, we cannot explicitly label any particular value as an outlier. It would require more sophisticated statistical methods or domain knowledge to detect outliers in terms of exchange rates.
In conclusion, financial time series data, like the one provided, can be quite complex due to the numerous factors potentially affecting the exchange rates. While we've provided a basic snapshot based on the given dataset, a more in-depth analysis incorporating additional information might uncover more nuanced insights or patterns in the dataset.
