2024-05-01 Won 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
The data presented corresponds to timestamped values of exchange rate over a period. While the formatting doesn't allow direct importing into statistical software for detailed analysis, we can generate a broad understanding based on the general behavior of the data.Overall Trend
The overall trend seems to be extremely stable, with a flatlining at 0.00099 for most of the duration. This value deviates, however, at a specific point in time (2024-04-30 17:20:03 and consecutive timestamps) where the value increases to 0.001. It later drops back to 0.00099. One could infer from the dataset that the exchange rate is relatively stable, with a small fluctuation period.
Seasonality and Recurring Patterns
With the nature of the raw data provided, it's hard to pinpoint any visible seasonality or recurring patterns. Generally, the exchange rate is remarkably stable at 0.00099 throughout most timestamps until it slightly increases and drops back. No distinct pattern is noticeable that rigorously repeats itself. A more granular analysis would be necessary to uncover slight fluctuations in the exchange rate.
Possible Anomalies
The only potential outlier from this largely homogeneous dataset is the aforementioned rise in the rate to 0.001 for a specific period. This increase, although minor, deviates from the norm within this dataset. However, based on the time series data provided, it's difficult to infer the reason for this anomaly without considering external market factors.
Please note, a more comprehensive analysis would require employing statistical tools to better visualize these trends and anomalies. Also, keep in mind this analysis focused solely on data trends and did not consider external market factors or future forecasting.