2024-05-02 New Israeli Sheqel News
2024-05-01
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Based on the given data for the timespan of 2024-05-01 00:00:03 to 2024-05-01 23:55:02 (nearly a day's worth of data), a few conclusions can be drawn about the trend, seasonality, and outliers of ILS exchange rates.
Overall Trend
The overall trend of the ILS exchange rate in the given data shows a decrease. The rate begins at 0.36899 at the start of the day and ends at 0.36541 at the end of the day. As the data shows a descending trend over the timeframe, it is clear there's a downward shift in exchange rate value across this period.
Seasonality or Recurring Patterns
Given that the data spans a single day, it's difficult to discern any long-term seasonality or recurring patterns within this limited timeframe. Seasonality often refers to trends which repeat over a longer period for instance seasonally over a year or over week days. With only a day's worth of data, we can't make conclusive statements regarding these longer seasonal trends. However, a certain level of intra-day volatility is noticeable indicating there might be certain times in the day where the exchange rate is more volatile.
Notable Outliers
Outliers in financial data typically refer to instances where the rate returned an unexpected value as compared to the trends. Observing critical swings in the data, there are no prominent outliers. The maximum value observed within this data is 0.37011 and the minimum is 0.36489, values that don't seem extreme based on the overall data distribution. Any slight deviations in the exchange rate appear to align reasonably with the overall decreasing trend and thus may not be considered statistically significant outliers.
In conclusion, the ILS exchange rate displayed a downward trend over the course of this day and while there are some intermittent highs and lows, no significant outliers are readily apparent from this data. For more comprehensive analysis, a larger dataset covering multiple days to years might provide clearer insights concerning seasonality and long-term trends.