Striking Volatility Observed in JEP Exchange Rates
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates:
By observing the given dataset, it indicates that the JEP exchange rate experienced some fluctuations over the specified period. It appears to have started from around the 1.710 region, and towards the end, it appears to be near the 1.706 area. The values have oscillations in between these points, reaching highs around 1.711 and lows near 1.705. However, it's crucial to note that this analysis does not suggest a strong increasing or decreasing overall trend. Instead, the exchange rate seems to remain relatively stable as it revolves around a mean.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates:
With respect to the dataset provided, it's challenging to observe an evident pattern of seasonality within this time series data due to the short time frame and the higher frequency of data collection (every few minutes). Seasonality and recurring patterns tend to be more visible over a longer-term context, such as weekly, monthly, or yearly patterns. However, to confirm the presence or absence of notable cyclic patterns or trends, further statistical analysis, such as Auto-correlation, or decomposition methods may be required.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality:
Outliers in a dataset are values that are significantly higher or lower than the majority of the data points. In the case of this dataset, there are fluctuations in the exchange rate, but none of them appear to be extreme enough to be clearly identified as outliers. Additionally, the dataset appears to have a good dispersion of data across the exchange rate values, without major spikes or drops. Therefore, from manual observation, there aren't any major outliers within this dataset.
