2024-05-17 New Israeli Sheqel News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of Datasets
The provided dataset is a time series data that indicates the ils exchange rates (ILS) at numerous timestamps. By using these figures, the analysis will help us understand the trend, seasonality, and unexpected outliers of the exchange rates.
1. Understanding of Overall Trend
Based on examining the given dataset, it appears that the overall trend of the ils exchange rates does not significantly fluctuate. Both the highest and lowest values are fairly close to each other, suggesting that the exchange rate remained relatively stable across the observed period. However, only a further detailed and rigorous trend analysis can confirm this observation.
2. Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, it can be challenging to capture due to given data being in minute intervals. The fact that this is intraday data makes it challenging to pinpoint seasonal or recurring trends. However, a more comprehensive analysis with appropriate tools can provide a more concrete view on whether part of the day, specific hours, or moments demonstrate considerable changes in exchange rates.
3. Outliers
Identification of outliers or values that deviate significantly from the overall trend will require a statistical analysis. Anomalies may suggest an error in data collection, extreme events, or a major change in the circumstances underpinning the exchange rate. For instance, spikes or dips could be interesting to investigate further. But, within the context of this analysis, the outliers and their potential reasons cannot be accurately identified without additional information or analysis tools.
In conclusion, the ils exchange rate seems to display minimal fluctuations in the given dataset. This could point towards a more stable currency exchange condition during the observed period. More in-depth analysis with specialized financial analysis tools is advised for a more comprehensive understanding that includes trend, seasonality, and potential outliers in the ils exchange rate.