2024-05-06 Kina News
2024-05-05
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
Understanding the Overall Trend
The general trend of the PGK exchange rate, based on the provided dataset, indicates a degree of fluctuation with both periods of increase and decrease throughout the timeframe. The exchange rate starts at around 0.35352, fluctuates throughout the period, reaching a high of approximately 0.3687, and ends at 0.35671. Notably, it does not exhibit a strictly linear pattern of growth or decline, signifying that the exchange rate is affected by many variables and is subject to change over time.
Seasonality or Recurring Patterns
Although the dataset spans a limited timeframe and does not provide data for an entire year or multiple years, some patterns can be discerned. Morning timestamps often show a different rate compared to the evening timestamps of the same day, indicating some daily fluctuation. It is crucial to note that these patterns may not strictly hold over a longer timeframe as exchange rates are subject to many unpredictable macroeconomic factors. Therefore, a larger dataset spanning multiple months or years may be necessary to definitively identify any seasonal or recurring patterns.
Presence of Outliers
Outliers in a dataset are data points that significantly differ from other observations. They could represent measurement errors or valid but extreme variations in the measurement. From the provided data, it does appear that there are certain points where there is a significant change compared to the nearby points, such as around the timestamp '2024-04-16 08:00:02' where there is a notable jump to 0.36498. Similarly, timestamp '2024-04-18 14:00:02' records a spike at 0.3687. However, it's important to note that the determination of outliers is dependent upon statistical analysis that is beyond the scope of this qualitative assessment.
Conclusion
To summarize, the exchange rate as observed in the time-series data does not show a clear increasing or decreasing trend but fluctuates over time. Some degree of daily fluctuation can be noted, but a larger dataset might be required for a definitive interpretation of seasonality or recurring patterns. Certain points exhibit significant changes and could be identified as outliers, but a deeper statistical analysis would be needed to confirm this. The exchange rate, thus, seems to exhibit typical attributes of financial time-series data, primarily its unpredictability and volatility.