2024-05-01 Silver News
2024-04-30
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
The overall trend of the XAG exchange rate for the provided dataset can be observed by plotting or modeling the data. However, analyzing the given set of data, it appears that the exchange rates fluctuated between 36.20303 and 36.77417. It's not feasible to categorically state whether the rates generally increased, decreased, or remained stable overall without a specific modeling. Still, some points depict an increase followed by a decrease, suggesting some volatility in the rates.
Identifying Seasonality or Recurring Patterns
Time series data often have a seasonal component, this means the data shows a repeated pattern over time. For this dataset, the seasonality or recurring patterns aren't straightforward to detect just by reading the data. Advanced analytical models such as autocorrelation functions or Fourier transformations would be more suitable for finding cyclical patterns. However, without using these tools, there isn't a clear indication of a particular seasonality or recurring pattern in the given exchange rates.
Outliers and Significant Changes
An outlier in this context would refer to a significant variation in the exchange rate, which is markedly different from the previous or following values. This significant change might be due to a variety of factors. When manually inspecting the dataset, there doesn't seem to be extreme outliers. However, as the data seems volatile, there are slight ups and downs representing small fluctuations through the timeline. Finding accurate outliers would demand further algorithmic or statistical analysis.
As per your request, external factors like market opening/closing hours, weekends/holidays, or the release of key financial news, and reports weren't considered to deliver these insights. The generated analysis is purely an observational overview of the provided dataset. For deeper insights and accurate interpretations, employing data analysis tools and methodologies would be recommended.