2024-05-21 Leone 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
From the data provided, there doesn't appear to be a significant upward or downward trend in the exchange rates. The SLL exchange rate remained at 6.0E-5 for the vast majority of the time period shown, indicating a relatively stable rate. However, there are two brief periods where the rate increased to 7.0E-5, the first around 07:45 to 08:05 and the second, more prolonged increase from approximately 20:35 until the end of the dataset at 23:55. This represents a slight increase in the SLL exchange rate during these periods.
2. Identifying Any Seasonality or Recurring Patterns
Given the limited scope of the data (spanning only a single day), it isn't possible to make confident assertions about long-term seasonality or recurring patterns. However, it's interesting to note that both increases in the exchange rate occurred around the same time, suggesting there may be a daily pattern that could be investigated with additional data. It's also noteworthy that these increases coincide with typical opening and closing hours for businesses, which may potentially influence exchange rates.
3. Noting Any Outliers
The two periods where the exchange rate increased to 7.0E-5 could potentially be considered outliers, as they depart from the dominant trend of the 6.0E-5 rate. It would be useful to have additional data for more context - if similar increases are common over a larger timeframe, it would suggest these are not true outliers, but part of a regular pattern. Without such context, we might infer that these increases are somewhat unusual events in the dataset provided.
It should be noted that there weren't any extreme outliers in this data, with all rates falling within a narrow band of 6.0E-5 to 7.0E-5.
In this analysis, I've not considered nuanced factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. For a more detailed analysis, these aspects would likely feature significantly.
