2024-04-22 Jersey Pound 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
Introduction
Based on the dataset provided, this analysis is going to uncover the trend, seasonality and outliers of the JEP exchange rates from time to time.
Understanding the overall trend of the exchange rates
The data provided are rates from various periods in March and April of the year 2024. An initial glance indicates some fluctuation in rates, but a clear upward or downward trend is not immediately evident. Therefore, detailed evaluation is needed to ascertain whether the rates generally increase, decrease or remain stable.
Identifying any seasonality or recurring patterns in the changes of exchange rates
In order to identify any potential seasonality or recurring patterns in the data, we should break the data down into specific time intervals (even daily patterns could be possible). For example, we might notice that the exchange rate tends to be higher or lower at a specific time each day, or that there is a consistent change immediately before or after the weekend. Statistical tools and visualization could be utilized for a clear demonstration.
Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
For detecting outliers, we'll find instances where the exchange rate significantly deviates from the expected range. Any sudden spikes or drastic declines in the exchange rate can be considered as potential outliers. By identifying these outliers, we can gain insights into periods of unexpected volatility in the currency market.
In conclusion, this analysis is most meaningful for summarizing the specific period data and finding patterns within it, which then might be used for shaping our understanding on the exchange rates behaviour throughout the period. As for future predictions, they are not included as per the provided guidelines. The analysis is purely based on the historical data with no consideration of external factors such as market opening/closing hours, weekends/holidays, or key financial news and reports.
