2024-03-12 Guarani News
2024-04-23
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 the exchange rates
Analysing the timestamp data against the foreign exchange rates (PYG), it's apparent that the value mostly fluctuates between 0.00019 and 0.00018. There is a general decline around the period 2024-04-23 02:30:02 until 07:40:03, where the rate drops to 0.00018. This value then stabilizes for a considerable period, indicating a downward shift in the exchange rate during this timeframe. The rate then gets back to 0.00019 around 20:05:02 and keeps this level until the end of the provided period.
Seasonality or recurring patterns in the changes of exchange rates
While more data would be needed to make conclusive statements about seasonality, with the dataset provided, there are no immediate indications of cyclical or seasonal patterns. The exchange rates consistently stay around the 0.00019 and 0.00018 mark with a very low level of volatility. The downward shift around 02:30:02 and the climb back up around 20:05:02 are noteworthy events but do not necessarily imply a recurring pattern. More data running across multiple days would be needed to confirm or deny this potential pattern.
Identification of Outliers
Given the small range of variability, i.e., between 0.00019 and 0.00018, there are no noticeable outliers within the provided dataset. All recorded exchange rates huddle close to the mean, indicating consistently low volatility during this specific time period.
Additional Notes
While this dataset does not explicitly indicate any specific events or show the effects of the opening/closing of markets or the release of key financial news reports (as these factors have been disregarded in this analysis), the analysis does suggest a fairly stable market for the PYG currency during the period shown. It further stresses the importance of looking at more data over a longer period to understand cyclical patterns better and locate potential outliers more decisively.