2024-05-22 New Israeli Sheqel News
2024-05-21
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Before diving deep into the analysis, the dataset has to be read and interpreted in a structure accepted by data analysis tools. This is a time series dataset with timestamps and the corresponding ILS exchange rates. By plotting this data in a suitable graph, trend analysis seems feasible. Considering this data, there appears to be a slight increase in exchange rates over a defined time period. This can be observed from the data starting from a 0.36942 exchange rate and ending with a 0.37211 rate. While the fluctuation is not high, there is still a noticeable trend of increase throughout the sample data set.
Seasonality and Recurring Patterns
A seasonality and recurring pattern analysis within a defined time scope usually requires a larger dataset that encompasses multiple seasons or clear cycles (days, months, or years). Based on the provided dataset, it is complicated to identify seasonality as the data set comprises exchange rates from a single day (2024-05-21). For a more precise seasonality analysis, we would need additional data over a more extended period. However, it appears to be slightly higher volatility during certain periods of the day suggesting potential intraday seasonality, but further investigation with more data would be needed to establish this conclusively.
Identifying Outliers
The data set appears to mostly follow a consistent trend with minor fluctuations. By making use of statistical techniques, such as determining the standard deviation and identifying data points that defer extremely from the mean, outliers could be spotted. In this specific case, there are no significant outliers within the series that considerably deviate from the overall trend.
It's important to note, these observations and interpretations are based only on the provided data, exchange rates in a single day. For more accurate and detailed insights, a larger and more diverse data set would be required.