2024-04-29 Kuwaiti Dinar News
2024-04-28
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
Overall Trend Analysis
By examining the data set, it is noticeable that the exchange rates (KWD) have witnessed a general trend oscillating up and down over time. However, identifying a precise overarching pattern - an increase, decrease, or stability – from the raw data is relatively challenging without further refining and examination. It would be beneficial to develop a line graph to visualize this data and better grasp the overall trend.
Seasonality Analysis
Given that the data is collected hourly throughout the week, it can be said that it provides a good opportunity to identify potential patterns or regular fluctuations - seasonality - concerning the hours of days or the days of weeks. However, any potential monthly or yearly seasonality can't be discerned from the dataset as it spans a relatively short period (less than a few weeks). Thus, drawing conclusions about broader temporal (seasonal) cycles in exchange rates may be limited with the existing dataset.
Outliers Analysis
By examining the dataset closely, we can see a few points where the exchange rate spikes up or down significantly, potentially indicating the presence of outliers. However, without detailed statistical analysis, it is hard to determine which deviation is significant enough to be flagged as an 'outlier'. More in-depth statistical tests like the z-score (standard deviation) method, or visualization techniques i.e., Box-plots can be useful for identifying outliers.
Key Observations
Though a comprehensive pattern is not explicitly discernible from the given data, a few observations can be made. Unlike financial markets that have predictable opening and closing hours that can have a significant influence on exchange rates, these digital currencies are traded 24/7. As a result, the impact of weekends/holidays or specific market hours might be less sharp or noticeable.
The raw data doesn't show considerable volatility where the rate would significantly shoot up or down within short time intervals. At first glance, it seems like the rates are broadly hovering between 4.39-4.48 with minor fluctuations. However, an in-depth statistical study could give more grounded insights regarding the pattern, volatility, and anomalies.
It's also important to note that the data is likely impacted by several other factors we can't discern from these figures alone. These elements might include geopolitical events, monetary policy changes, broader economic indicators, etc., which can dramatically impact exchange rates.