2024-04-19 Pula News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of the Dataset Trend
The overview trend analysis of the timestamp data series from 2024-04-18 00:10:02 to 2024-04-18 23:55:02 suggests subtle volatility in the BWP exchange rates. Although there is no frenetic fluctuation to suggest a hyperactive market, the exchange rate seems to fluctuate within a small range of 0.0998 to 0.0993 predominantly. The overall trend showcased a slight tendency towards a minor fall in the exchange rates over the period under review.
Seasonality and Recurring Patterns
Create a time series plot of your data to check for seasonality or recurrent patterns. Without such analysis, it's hard to identify such patterns from a raw data dump. However, a preliminary walkthrough reveals that the exchange rates do not depict an obvious evident seasonality or recurring patterns at different hours of the day. More nuanced statistical techniques may expose hidden patterns.
Outliers in the dataset
Outliers usually require a boxplot, scatter plot, or by applying the Z-score or IQR method. Judging from the raw dataset, no explicit outliers with significant divergence from the average are readily obvious. However, around 2024-04-18 20:05:03, we notice an unusual drop in the rate to 0.09937 - a level not seen in the preceding entries. This could potentially be an outlier or an indication of a 'shock' or sudden market movement.
Nonetheless, it's crucial to conduct a more exhaustive analysis using these or other statistical methods to pinpoint the outliers accurately. A full analysis would include isolated case studies of these outliers for identifying underlying trends or factors causing these anomalous variances.
Additional Comments
Although the dataset provides a time series of exchange rates, determining the reason for these rates fluctuations can be intricate and multifaceted. Factors can range from macroeconomic indicators, geopolitical events, monetary policy decisions, and market sentiment among others. As this analysis does not consider such elements, time and rate series are the sole basis for the insights provided.