2024-05-13 Pula News
2024-05-12
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Upon examining the provided time-series data, it can be observed that the exchange rates have shown both uptrends and downtrends across the time period. The dataset begins with an exchange rate of 0.1 on 2024-04-12 and ends with a rate of 0.1006 on 2024-05-10. This indicates a slight increase in the overall period. However, in between these dates, the exchange rates also experienced both spikes and dips. On 2024-04-12 through to 2024-04-16, for example, we can see a trend of slow increase in the rates. However, between 2024-04-15 - 2024-04-30, there was a consistent decreasing trend followed by a increase and then decrease again. This indicates that the exchange rates fluctuated frequently during these periods.
Seasonality and Recurrent Patterns
While conducting a time series analysis, one of the main objectives is to detect and explain any seasonality or recurrent patterns. Perfoming an assessment of this dataset, no consistent cyclical or seasonal patterns were detected. The relatively short time frame of the dataset and the high frequency of data points might make it difficult to identify consistent seasonal patterns without applying more complex analysis methods or having additional contextual knowledge. It appears that the exchange rates are more influenced by irregular fluctuations rather than seasonal factors over this time frame.
Outliers Detection
Outliers in a dataset are data points that are significantly different from other observations. They could be caused by variability in the data or potential measurement errors. In this dataset, a few potential outliers can be spotted where there are sharp changes in the exchange rate within a short period, these cases do not align with the general trend observed throughout the dataset. However, it's essential to note that 'anomalies' in financial markets can be quite common due to the multitude of factors influencing market rates. Hence, without the complete context or additional information explaining these spikes and drops, pinning these datapoints as 'outliers' might not be conclusive.
To summarize, this brief analysis has provided an understanding of the overall trend of the exchange rates and a preliminary understanding of potential recurrent patterns and outliers. For a more comprehensive analysis, additional data and further in-depth statistical analyses would be necessary.