2024-05-17 Moldovan Leu News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis Result
The dataset provided is a time-series data spanning over 24 hours indicating the changes in exchange rate (MDL).
1. Understanding the Overall Trend
From the given dataset, it could be observed that the exchange rate started from 0.07745 and had a subtle rise throughout the first 20 hours with minor fluctuations until reaching a peak at 0.07759. Thereafter, there is a sharp decline to 0.07681, following which the rate stabilizes and continues to drop at a slower pace for the rest of the dataset. In essence, the trend for this given period shows a initial rise followed by a sudden fall and then a slow reduction.
2. Seasonality and Recurring Patterns
There doesn't appear to be any strong seasonality within the 24 hours period that is covered in dataset. However, there's a noticable recurring pattern where the exchange rate increases, stabilizes for a period, and then decreases. It is worth noting that during the stabilization period, there are slight fluctuations due to market behavior.
3. Outliers and Significant Variations
The most significant variance happened around the 18th hour, where the rate sharply fell from 0.07759 to 0.07681. This absolute shift of 0.00078 is noticeably larger compared to changes in other times within the provided dataset. The reason behind this sudden drop is not included within the scope of the provided data. Apart from this instance, the fluctuation range seems comparatively small, and no obvious outliers can be identified immediately.
The findings here purely rely on the given time stamps and corresponding exchange rate data, without consideration for external influences like market events, news, or even periodic events such as opening and closing hours of the market. Further details or a longer time-series data would likely provide a deeper understanding of the trend and these significant variances.