2024-04-23 Guarani News
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
Looking at the provided dataset, we can make several observations:1. Understanding the overall trend of the exchange rates
The data given is about the currency exchange rate from April 22, 2024. Each rate presented represents the price of an asset at a five-minute interval. Essentially, the given exchange rate (0.00019 and 0.00018) remains stable for most of the time. However, there's a slight decrease observed, changing the rate from 0.00019 to 0.00018.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
Time series analysis for such a small duration and without significant data fluctuations doesn't clearly indicate any form of seasonality or recurring patterns. Regularly, seasonality is implied over more extended periods such as months or years where clear patterns might emerge, such as peak and off-peak seasons. Therefore, concluding with such a small dataset could lead to incorrect generalizations. Yet, with the data given, no seasonality or recurring pattern is observed.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
From the dataset, no significant outliers or volatility can be identified. The currency rate appears rather stable with minimal variance. The variations between 0.00019 and 0.00018 are standard and might be influenced by market demand-supply mechanisms.
In conclusion, due to the very short period (only one day) and the stable data given (two minorly different rates), it's hard to determine a clear trend, seasonality, or to pinpoint outliers. For a comprehensive forecast model, more extensive and varying data would be necessary.