2024-05-07 Liberian Dollar News
2024-05-06
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
Analysis of Trends
Upon analyzing the provided data set, a persistent stability in exchange rates (LRD) over time can be inferred. They kept remained in a finite range between 0.00706 and 0.00708 from the start until closing. There were only a few instances when a slight increase or decrease in rates occurred, such as between the timestamp of 14:30:02 to 15:20:03 where the rate decreased from 0.00707 to 0.00704. The graph representing these rates against time would be a relatively flat line, showing not much fluctuation throughout. Thus, the overall trend of the exchange rate shows a stability over the time.
Seasonality or Recurring Patterns
In the given data it is difficult to determine a seasonal trend because the data covers a single day, and determining seasonality usually requires a year's worth of monthly, weekly or daily data. However, if we interpret seasonality as within a day trend, it's hard to find any specific pattern because the exchange rate remains mostly flat. Therefore, there's no clear evidence of seasonality or recurring patterns in the short period of time examined.
Outliers and Unexpected Instances
Upon reviewing the data, it was found that there were no significant unexpected instances or outliers. Outliers are usually values that are significantly higher or lower than the rest of the data. Here, there are no such extreme values, thus no outliers present. Despite no significant fluctuations, slight changes in the exchange rates were observed. For instance, a close-to-peak value of 0.00708 at the timestamps of 00:00:02 and 00:30:02, and a close-to-low value of 0.00704 at the time stamp of 14:55:03 to 20:55:03. This could be associated with normal economic variables that fluctuate throughout the day.
Disclaimer: Please note that this analysis is based on the data provided and does not take into account external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, and no forecast for future rates is made based on this analysis.