2024-05-03 Silver News
2024-05-02
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
From an initial glance at the dataset, it can be seen that the exchange rates fluctuously vary from the start at approximately 36.46175 to the end with a value around 36.54169. While there are changes observed in both increasing and decreasing trends, understanding a clear overall trend would require a more detailed time series analysis.
Seasonality and Recurring Patterns
Given the nature of the financial market, certain patterns or regularities could possibly occur due to cyclic factors such as market openings or closings, or weekly market cycles. However, given the request to avoid considering these factors, identifying a clear-cut pattern would not be ideal without taking into account these crucial influencers. A thorough pattern analysis would potentially reveal some interesting repeatable events retrospective to this dataset.
Outliers
Considering trends and patterns alone can overlook some important unexpected moments, i.e., outliers. These are the points that significantly deviate from the norm. Some outliers, especially when they consistently vary towards the start, mid and end of the dataset, are notable. However, a statistical summary and possibly a boxplot visualization would be perfect to show outliers in the dataset.
Remember, financial time series data is complex. It's often 'noisy', influenced by many factors and can have sudden jumps or falls (outliers) due to unforeseen events. Therefore, while it's important to identify these data characteristics, it becomes pivotal to examine them in context.
It is always a good idea to consult a data science professional who can leverage machine learning models to gain a deeper understanding of the time series data.
