2024-05-21 Latvian Lats News
2024-05-20
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the Overall Trend of Exchange Rates
The overall trend of the LVL exchange rate throughout the period in the dataset appears to be increasing. The rate starts at 2.24876 and ends at 2.25487, indicating a slight appreciation of the associated currency over this timeframe. However, the increment is quite minimal, suggesting a somewhat stable exchange market for this particular currency during the observed period. It's important to note that there are numerous fluctuations throughout the course of the day, with the exchange rate oscillating within a specific range.
2. Identifying Seasonality or Recurring Patterns
Examining the dataset did not reveal any apparent seasonality or recurring patterns in the LVL exchange rate changes. The dataset comprises an entire day of data, and the variations do not seem to be tied to a specific time of the day. The variability in exchange rates throughout the day appears more random than cyclical, suggesting that the shifts are driven by market forces rather than certain predictable time-based factors. However, for a more precise analysis of seasonality or recurring patterns, a more extended dataset covering multiple days, weeks, or months would be required.
3. Noting Outliers and Significant Deviations
Within this dataset, there are no substantial outliers or deviations from the apparent trend. The rate changes are within a reasonably tight range, with no huge jumps or drops that might suggest a significant event or anomalous transaction influencing the exchange rate. This implies that throughout this one-day period, the exchange market for the given currency was reasonably stable and without any severe disruptions or extraordinary events.
Please note that this analysis is a simplified review. For a more in-depth understanding, further statistical analyses, such as standard deviation, variance, or regression analysis, could be performed. Also, expanding the duration of the period studied would enhance the accuracy and applicability of the conclusions drawn.
