2024-05-21 Saint Helena Pound News
2024-05-20
Summary of Last Month
- 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
The provided dataset indicates that the exchange rate has shown some upward and downward movements over the given period. If we were to plot this data on a graph, one would likely observe several peaks and valleys corresponding to increases and decreases in the rate, but it is hard to definitively say if the overall trend is increasing, decreasing, or stable without precise graphical or analytical tools. There seems to be a very mild increase in the exchange rate, especially noticeable through the changes from 1.07662 to 1.07954, but to make a clear conclusion a statistical analysis would be appropriate.
2. Identifying Seasonality or Recurring Patterns
The dataset provided consist of intraday data, with data points collected every few minutes. This short-term data can sometimes exhibit recurring patterns or 'seasonality' within each day, such as greater volatility during certain hours. However, within the resolution of this dataset, it is hard to conclusively identify such patterns solely based on a visual inspection of the data. A frequency analysis or autocorrelation analysis could help identify if any such patterns exist.
3. Noting Any Outliers
Outliers, or individual data points that differ significantly from the trend or surrounding data points, can often be indicative of unexpected events or errors in data collection. In the provided dataset, it's hard to convey if there are any particular outliers without conducting an appropriate statistical analysis or creating visualization methods like a box plot. Although, no significant jumps or drops in the exchange rate are apparent upon visual inspection of the data.
Note: The analysis above is based on a preliminary, high-level inspection of the provided dataset. A more detailed analysis, including precise trend identification, seasonality detection, and outlier identification, would require specialized statistical and analytical tools.