2024-05-06 Kuwaiti Dinar 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
The overall trend of the exchange rate (KWD) from the given data seems to be somewhat fluctuating. However, there appears to be a slight increase overall in the rate from a range of approximately 4.4115 at the beginning of the period to about 4.453 around the end. However, this trend is not strictly upward, and considerable fluctuations are observed throughout the period.
Identifying any seasonality or recurring patterns in the changes of exchange rates
Identifying seasonality or recurring patterns in financial time series data like exchange rates can be a little challenging. From the given data, there don't seem to be apparent recurring patterns. However, there is some degree of cyclic fluctuation observable, indicating potential daily patterns. It might be due to typical daily economic activities or trading. But definitively stating the existence of seasonality would require further statistical analysis which is not covered here.
Noting any outliers or instances where the exchange rate differs significantly
From a cursory look at the data, a few potential outliers or significant differences can be noted. For example, the jump in exchange rates from about 4.41055 on 2024-04-10 06:00:02 to 4.43857 on 2024-04-10 08:00:03 is quite significant. Likewise, the drop from 4.48763 on 2024-04-16 10:00:02 to 4.47997 on 2024-04-16 14:00:03 stands out. Such cases, where the exchange rate differs significantly from the overall trend in a short period, are of interest for further in-depth analysis. This however, may require additional information or investigation into what was occurring in the broader economic context during these times, which is not provided within this dataset.
Please note, these observations are made based on the given data, and for a more thorough and accurate analysis, a more granular or longer-term dataset may be necessary, along with sophisticated econometric or time-series analysis techniques.