2024-05-13 Moldovan Leu 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
Comprehensive Analysis of the MDL Exchange Rates
The dataset provided comprises timestamps and corresponding MDL exchange rates. By examining this data, we can identify trends, seasonality, and potential outliers. Below is the comprehensive analysis of this data.
1. Understanding the Overall Trend of Exchange Rates
The exchange rate of MDL seems to be slightly fluctuating. Starting from 0.07768 on 2024-04-12, there's a slight increase followed by a downward trend with occasional highs and lows till 0.07701 on 2024-05-10. The exchange rate isn't showing a steady increase or decrease trend but is generally varying around a stable value. This suggests that the rate may be more influenced by short-term events and fluctuations in the market.
2. Identifying Seasonality
Given the nature of the dataset provided, it seems difficult to determine concrete patterns of seasonality. The data covers only a time span of about one month which would not be sufficient to discern annual or semi-annual patterns. The dataset would need to be expanded to include a longer time frame to recognize distinct patterns of seasonality.
3. Noting any Outliers
In financial time series data like this, outliers are typically significant deviations from the ordinary range of values. With the exchange rate hovering between approximately 0.076 and 0.078, any values that are substantially below or above this range could be considered outliers. As per the provided data, it seems no apparent outliers can be observed. The exchange rates show typical market fluctuations, but none of these represent a significant deviation from the normal trading range.
In summary, the exchange rate of MDL over this period appears to be fluctuating within a specific range without any discernible long-term trend. There's no clear seasonality detectable from the provided dataset, and no significant outliers have been observed. Greater insights might be gathered with a larger dataset covering several years, potentially allowing for the identification of long-term trends or recurring patterns.