2024-05-13 Liberian Dollar News
2024-05-12
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
Analysis Introduction
This analysis focuses on the exchange rate of an unspecified currency with respect to Liberian Dollars (LRD), as per the dataset provided. The dataset consists of timestamped exchange rates that form a time-series data stream. The aim of the analysis is to identify key statistical features, including trend, seasonality, and significant outliers.
Overall Trend
The general trend of the dataset indicates a mild appreciation of the LRD over the given period. The initial exchange rate started at 0.00711 and ended at 0.00707, implying a slight decrease. However, the trend isn't strongly defined, and there are periods where the exchange rate actually increased. Notably, there's a peak value of 0.00729 recorded at the timestamp "2024-04-18 14:00:02", which stands as an outlier in the general tendancy of the LRD to appreciate.
Seasonality
Observing the data, there does not appear to be a clear seasonality. This lack of a cyclical pattern can owe to the fact that currency exchange rates are influenced by a host of factors beyond the simple mechanics of supply and demand, including interest rates, inflation, political stability, economic performance etc.
Outliers
The most notable outlier in the data is the aforementioned peak value recorded at "2024-04-18 14:00:02". There may be occasional spikes and drops in the exchange rate, but these do not form a consistent pattern and can be considered as random fluctuations rather than trend-defining movements.
Conclusion
In conclusion, the LRD exhibited a mild appreciative trend during the period covered by the dataset, with no clear indication of seasonality. The analysis noted occasional outliers, but these appeared to be random fluctuations rather than the result of a systematic influence. This analysis is solely based on the dataset provided and does not consider any external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.