2024-04-18 Silver News
2024-04-17
Summary of Yesterday
- 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
To simplify the interpretation of the trend, we only consider hourly data points. From the dataset provided, it is apparent that the exchange rates for XAG have experienced fluctuations from the beginning (38.98635) to the end of the period (39.0564).
From a broad perspective, the exchange rates seem to have increased moderately over the entire period. This can be seen as the final exchange rate (39.0564) is greater than the initial exchange rate (38.98635).
Seasonality and Recurring Patterns
Observing the XAG exchange rate data suggests some level of seasonality, yet no clear pattern. While there appears to be minor fluctuations with repetition, no distinctive cyclical pattern can be discerned.
The trade in the financial market can often display daily recurring patterns because of the open and close hours of the market. At this level of granularity, however, it is difficult to identify specific times of the day that might have a higher propensity for rate changes.
Outliers in the Exchange Rates
Regarding outliers, these are instances in the dataset where values significantly differ from the overall trend. A detailed statistical analysis, such as calculating standard deviations from the mean or quartile analysis, would provide a more definitive understanding of any present outliers.
Without more advanced statistical examination, we could consider the data points with the largest and smallest values as potential outliers. In this dataset, the highest exchange rate is 39.65579 and the lowest is 38.77322. If these values significantly differ from the rest of the dataset, they could be treated as outliers.
Please note that a more detailed analysis, considering other factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, might give a more comprehensive understanding of the dataset.