2024-05-06 Won News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the overall trend of the exchange rates
Calculating moving averages over different lengths of time in the dataset provides a clearer picture of the overall trend. In this case, the exchange rate between the Korean Won (KRW) and another unspecified currency appears to be fairly stable over the period shown, oscillating around a central value of 0.001. There are a few small fluctuations, such as an increase to 0.00101 and decrease to 0.00099, but these are relatively minor. Consequently, the overall trend can be described as mostly stable with slight variations.
Identifying any seasonality or recurring patterns
To see if there are any patterns or seasonality in the data, a more detailed examination, like spectral analysis or autocorrelation, is needed. Based on the data provided and without knowledge of external factors, there doesn't seem to be any readily observable seasonality or recurring pattern in the exchange rates. Rates appear to fluctuate on a near-daily basis, but there's no clear pattern to these fluctuations, which could be affected by multiple local and global factors.
Noting any outliers
Outliers in this dataset would be values that significantly differ from the predominant rate of 0.001. However, all of the values provided are in close proximity to this predominant rate. The most 'extreme' values noticed are 0.00101 and 0.00099, which represent only a 1% deviation from the central value. This deviation is small and is not unparalleled – similar deviations occur multiple times throughout the dataset. Consequently, based on the provided data, there don't appear to be any significant outliers in the exchange rates.
External Factors
Although considering external factors was not requested for this analysis, it's important to note that external factors such as market opening/closing cycles, national holidays, announcements concerning the economy, and political news/events often have notable impacts on exchange rates. Thus, while the above analysis is based solely on the provided data, a more accurate and comprehensive analysis would ideally take these external factors into account.