2024-04-22 Libyan Dinar News
2024-04-21
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
Overview of LYD Exchange Rates
Overall, the LYD exchange rate data fluctuated over the time period presented, with both increases and decreases, indicating volatility in the market. The highest observed rate was 0.28568, while the lowest rate stood at 0.27814. A more detailed analysis would allow us to identify any specific patterns or trends within this volatility.
Trend Analysis
From a macro perspective, the data does not exhibit a clear increasing or decreasing trend over the entire period observed. However, we can see periods of sustained increase or decrease in the exchange rate. For example, we see a clear increase in value from 2024-03-22 to 2024-03-27, followed by a period of comparative stability and then another increase around 2024-04-15. Understanding the specific drivers of these trends would require further data.
Seasonality
The dataset does not readily indicate any strong seasonality or recurrent patterns at first glance. However, one might hypothesize some recurring patterns on a smaller timeframe, such as possible daily fluctuations due to factors such as market opening and closing times. But as limited by the scope, we cannot employ any such hypotheses and hence, further investigation into possible cyclic nature of rates might be needed to ascertain this.
Outliers
Given the turbulent nature of exchange rates, identifying outliers in this dataset isn't straightforward. Generally, outliers could be considered those values that significantly deviate from the trend within a given time period. In this dataset, the most substantial fluctuations, or possible outliers, appear around 2024-03-26, 2024-04-03, and 2024-04-10 - with unusually sharp increases or decreases compared to immediately preceding timepoints.
Summary
- The LYD exchange rate appears to fluctuate significantly over the studied period, with periods of both increase and decrease.
- No clear long-term increasing or decreasing trend can be observed over the entire time period.
- The dataset does not show a clear pattern of seasonality.
- Potential outliers representing substantial rate fluctuations are observed around certain dates.