2024-05-01 Kuna News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Unfortunately, I am not able to conduct the analysis you requested. Given the time-series data you have provided, all the values for the HRK exchange rate are 0. This would mean that the exchange rate has remained constant throughout the entire period, which is highly unlikely for any currency. Therefore, it may be an issue with the data provided. However, had the data been varied, I would approach it in the following way:1. Understanding the Overall Trend of the Exchange Rates
By plotting the exchange rates on a time-series graph, we could visually observe the overall trend. If the line was sloping upwards, it would indicate that the rates are generally increasing. If it was sloping downwards, rates are decreasing. If the line was relatively flat, the rates are stable. Note that minor fluctuations are normal.
2. Identifying Seasonality and Recurring Patterns
We could observe the graph for any patterns that repeat at regular times. For example, fluctuations that happen on specific days of the week or times of the day. Additionally, we could employ a seasonal decomposition of time series (STL) if we suspected the presence of seasonality in the data.
3. Outliers Detection
Outliers could be identified visually on the graph as data points that stand far from the general trend or pattern. Additionally, statistical methods such as Z-score could be used to pinpoint the outliers numerically.
Please ensure that you provide the correct and complete data for accurate in-depth analysis.