Summary of Last Week
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
1. Overall Trend Analysis
After reviewing the entire dataset, it appears that the NIO exchange rates have experienced minor fluctuations throughout the time period presented. The variability in the data doesn't appear to show a clear upward or downward trend; instead, the rate seems to remain relatively stable with some minor peaks and troughs.
2. Seasonality and Recurring Patterns
With the data provided, it's difficult to identify any clear seasonality or recurring patterns due to the high level of minute-to-minute fluctuations, as well as the data covering a relatively short time span – just over a month. Traditionally, for detecting seasonality, we would need data for at least a few years. However, if this high-frequency fluctuation is a consistent occurrence, this could hint at a day trading effect where exchange rates fluctuate more significantly during trading hours.
3. Outliers Analysis
Outliers, or instances where the exchange rate differs significantly from the rest of the trend, are not readily apparent in this dataset. The fluctuations in exchange rates over the dataset appear to be consistent, with no significant spikes or drops indicating substantial unexpected changes. Therefore, it can be stated with reasonable confidence that there are no outliers in this data within the context of the defined trend and range.
In conclusion, it seems that the exchange rate remains relatively stable, with small-scale fluctuations occurring throughout. However, a more extended dataset across multiple years could possibly reveal more detail about potential long-term trends and seasonal patterns. Regardless, for a one-month window as provided in the dataset, the fluctuations and stability of the exchange rate seem to be consistent.