2024-04-30 Won News
2024-04-29
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
Introduction
In the data provided, I have analyzed the changes in the exchange rate of an unspecified currency to the South Korean Won (KRW) on April 29, 2024. The data appears to be collected at intervals typically around five minutes apart, starting from midnight and ending just before the turn of the next day.
1. Overall Trend of Exchange Rates
The exchange rate demonstrated in the data provided for April 29, 2024, seems to be remarkably stable. The rate is precisely 0.00099 for the majority of the times displayed, with only a slight increase to 0.001 at 18:55:02. Subsequent to this minor uptick, the rate promptly reverts to 0.00099 and continues at this stable level for the remainder of the dataset.
2. Seasonality or Recurring Patterns
Given the data is only for a single day and shows minor fluctuations, it is challenging to make any definitive conclusions about seasonality or recurring patterns that might exist over multiple days, months, or years. Considering the fact we see a constant rate of 0.00099 through the day with only a slight increase at 18:55:02, there isn't any clear-cut evidence to suggest seasonality or recurring patterns.
3. Outliers
Within this dataset, the only notable outlier is the slight increase in the exchange rate to 0.001 at 18:55:02. This rate diverges from the consistent level of 0.00099 seen throughout the rest of the day. However, considering this a significant outlier might be an overstatement given the negligible degree of deviation from the prevalent rate.
Conclusion
The exchange rate of the specified currency to the Korean Won (KRW) remained incredibly stable throughout April 29, 2024. There was a negligible deviation at 18:55:02, but the rate swiftly returned to its preceding steady state. Consequently, any inference of trends, seasonality or recurring patterns within this data would be inadequate unless we have data over a longer timeframe or more substantial fluctuations.