2024-04-23 Latvian Lats News
2024-04-22
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
Overall Trend of Exchange Rates
The respective timestamp and LVL currency values show a somewhat undulating and volatile trend. The data starts at a point of 2.2695, and it seems to have fluctuations going up and down over time, ending at 2.26462. Thus, the overall trend does not show a definitive and clear increase or decrease. It's more of a volatile stability, with many fluctuations.
Seasonality or Recurring Patterns
As for seasonality or recurring patterns, these are usually spotted on a longer timeframe, ideally yearly or quarterly. However, this data appears to relate to a daily timeframe, making the identification of usual seasonality patterns difficult. However, general financial knowledge would suggest increased volatility during the opening hours of markets, though this isn't explicitly noticeable in this dataset.
Identification of Outliers
Identifying of outliers form this textual data is quite complex, it would require a conversion of this data into a graphical plot to spot any significant deviations visually. However, looking through the provided numbers, there does not seem to be any drastic shifts within the numbers to suggest strong outliers. The data seems to be within a close range of values.
Note: This analysis is a basic summary of the data trends. A more comprehensive analysis might require statistical methodologies like decomposing the time series into trend, seasonality and residuals, creating moving averages, or applying time-series specific models like ARIMA or Holt-Winters method. Furthermore, for a more thorough understanding, a visualization of the data is highly recommended.