2024-05-10 Romanian Leu News
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend
Upon examining the data provided, it can be observed that the exchange rates for RON have experienced minor fluctuations throughout the given period. While there is no prominent upward or downward trend, it is clear that the exchange rate has predominantly hovered around 0.2964. Minor deviations from this central value are noticed, nonetheless, it can be concluded that the rates overall remained relatively stable. Any significant upturn or downturn trends are absent in the provided timeframe.
Identifying Seasonality or Recurring Patterns
Time-series data like these often reveal patterns of seasonality – periodic fluctuations that repeat over time. In the provided data, however, such seasonality is not distinctly visible. The exchange rate appears to fluctuate within a relatively tight band, without clear patterns or cycles of highs and lows repeating at regular intervals. The data points oscillate around the same value, suggesting the absence of regular cycles or seasonal effects in this dataset.
Noting Outliers
Moving on to outliers, which are data points significantly different from others, it's challenging to identify any from the given data at a glance. A more detailed analysis using statistical techniques would provide a better understanding of this. However, based on the data provided, the exchange rates do not exhibit large swings or abrupt changes that would suggest the presence of outliers. The exchange rate remains reasonably stable, with subtle fluctuations being the norm throughout the time period in the dataset.
Given that the requirement is to not consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, the above observations sum up the fundamental characteristics to be derived from this dataset in terms of trend, seasonality, and outliers.
Please note that for a more comprehensive and in-depth analysis, advanced statistical tools and techniques would be necessary.
