2024-05-01 Lebanese Pound News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Upon inspecting the provided data, it is observed that it indicates changes in a given exchange rate (LBP) at various timestamps. However, it should be noted that all the exchanged rates recorded are 2.0E-5 uniformly which implies that there is no change or fluctuation in the exchange rate throughout the time series data provided.
1. Trend Analysis
An overall trend analysis refers to the direction in which the data points are generally heading over time. In the context of this dataset, since all the exchanged rates are constant at 2.0E-5, it can be concluded that the exchange rate has remained stable over the period shown with no observable trend of increase or decrease.
2. Seasonality and Recurring Patterns
Seasonality refers to predictable and repeatable patterns in the data set that occur periodically over time. It's typically associated with weather or holidays but can also occur due to regular human behaviors or institutional practices. However, as the data provided shows a uniform rate of 2.0E-5 across all timestamps, it implies that there is no seasonality or recurring patterns observable in these exchange rates.
3. Outliers
Outliers are individual values that significantly deviate from other observations in the dataset. They can be the result of variability in the data or errors. In this dataset, since all the values are the same (2.0E-5), we have no outliers. This is because outliers require a significant deviation from other data points, and since all our data points are the same, we cannot have any deviations significant or otherwise.
In conclusion, the provided dataset showcases stability in the exchange rate with no observable changes in its trend, no seasonality or recurring patterns, and the absence of any outliers.
