2024-05-01 Cordoba Oro News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of Exchange Rate
From the provided time-series data, below is an analysis of NIO's exchange rate from the 30th of April, 2024.
1. Overall Trend of Exchange Rates
From the timestamped data provided, overall, the exchange rate shows an increment pattern over the period. It started at the rate of 0.03697 and ended at 0.03719. It can be seen that, although with several fluctuations, the general trend of the NIO exchange rate is gradual increase.
2. Recurring Patterns and Seasonality
Regarding the recurring pattern and potential seasonality in the data, I can't really discern an obvious seasonality or recurring pattern in the data, it appears there is a subtle up and down fluctuation between approximately 0.03698 and 0.03701 prior to 06:20:01 timestamp where there is a sharp increase up to 0.03718 and remained relatively stable till around 08:00:04 afterwards, we sees an acquired and preserved bullish trend up to 0.0375 at 18:20:03 whereby a bearish activity clearly sets in. Therefore, It seems to follow no regular seasonality and depends on a variety of unpredictable factors at different intervals of time.
3. Notable Outliers
Looking at the data, there is a significant change in exchange rate at timestamp 06:25:02 where the exchange rate jumps from 0.03699 to 0.03717. Another notable instance is at 20:15:02 where the rate drops from 0.0375 to 0.03719. These instances may be considered possible outliers since these exchange rates differ significantly from the trend observed in the nearby time points. It should be noted that without information related to external factors, it is not possible to definitively identify the cause of these events.
Note: It would be easier to identify whether there are outliers or instances of seasonality if a more detailed dataset which covers a longer timespan, or more data points per day, was provided.