KWD Exchange Rate Witnessed Subtle Swings over a Daylong Trading
2024-05-14
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Assessment
This data includes the exchange rates for each timestamp, reflecting the price changes of KWD currency. The dataset spans across an unspecified time period with observations taken after approximately every 5 minutes.
Overarching Trend
The first step is to decipher the main trend. At a quick glance, it's evident that the exchange rates exhibit minor fluctuations within the data range, but without a considerably clear upward or downward trend. A more in-depth analysis would facilitate uncovering subtle shifts across the seen period.
Seasonality and Recurrent Patterns
Concerning seasonality, or repetitive patterns in the data, time-series analysis like autocorrelation or Fourier analysis could prove beneficial. However, even on the naked eye level, there doesn't seem to be an obvious cyclic pattern within the exchange rates.
Outliers Noted
Outliers are data points that drastically differ from the general pattern. Despite minor fluctuations, this dataset does not manifest extreme instances or outliers that could vastly change the expected trend or seasonality.
External Factors
Your request involves not considering external factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports. Nevertheless, it's worth noting that such factors often play a substantial role in financial time-series data, including exchange rates. Thus, while not examined in this analysis, the influence of these elements is inevitably present.
Forecast Notes
As per your request, this analysis does not provide a forecast for future rates.
Conclusion
In summary, the KWD exchange rate time-series data demonstrates minor fluctuations but does not present a distinct overarching trend or seasonal pattern based on the evaluation criteria. There are no noticeable outliers in the dataset. External factors such as market and holidays are assumed to influence these rates yet were not considered explicitly in this analysis. Please note that this is a high-level assessment and more sophisticated methods such as time-series decomposition or machine learning-based anomaly detection could yield further insights.
