Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
To analyze this time series dataset about SCR exchange rates, we will identify the overall trend, check for seasonality or recurring patterns, and note any noticeable outliers.
Our dataset starts with an exchange rate of 0.10091 on 2024-02-23 00:00:02 and ends with a rate of 0.09899 on 2024-02-23 14:55:01. The most significant drop in the exchange rate happened around 2024-02-23 10:35:03, where the exchange rate fell dramatically to 0.09445.
In general, the SCR exchange rate over 24 hours fluctuated around an approximate average of around 0.100. There's a clear drop in exchange rate around the 10:30 mark, which could possibly be a temporal trend or part of a periodic regular fluctuation.
Seasonality and Recurring Patterns
Due to the limited time period (just over one day) covered in the dataset, it's hard to definitively identify any long-term seasonality or recurring macro patterns. However, micro patterns within the day can be observed.
Specifically, the rate seems to moderately fluctuate up and down throughout the observed period, with the exchange rate often appearing to ‘recover’ after a decrease. This could suggest that the exchange rate has some degree of autocorrelation, i.e., its current value is influenced by its recent past values.
The most noticeable outlier within the provided dataset is the aforementioned significant decrease to 0.09445 at 2024-02-23 10:35:03. This was the lowest rate within the entire observed day and was immediately followed by a slight increase, hinting at the possibility of an abrupt market event or anomaly at that point in time.
However, the dataset provided does not extend enough to comment on whether the 0.09445 value significantly deviates from what would be expected based on longer-term trends or seasonal patterns.
Remember, this analysis is based on statistical examination of the given numerical series and does not consider external factors that might have affected the exchange rates or should be considered for future forecasting.