2024-04-18 New Israeli Sheqel News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of the Exchange Rate Trends
Upon analyzing the given exchange rates data, a few key observations are made:
- The overall trend in the exchange rates seems to show a slight decrease over the given period. The ILS rate started at 0.36787 and decreased to 0.36305 by the end of the dataset. This indicates that the currency was weakening in relation to the other during this time.
- Looking into the data on a finer scale, there are fluctuations in the exchange rate throughout each day. These fluctuations resemble a wave-like pattern, hinting at a day-night cycle that could be influenced by trading hours and other economic activities. However, since we are not considering external factors such as market operation times and the release of financial news, it's not possible to explain these fluctuations based exactly.
- While many of the exchange rate values fit within the general declining trend, there are a few outliers. For instance, there are times when the value suddenly increases before returning to the decreasing trend. These outlier points potentially represent short-lived events or changes in market conditions that affected the exchange rate.
Seasonality in Exchange Rates
On a more macro level, discerning seasonality or recurring trends from the dataset could be challenging as the provided data only covers a one-day period (April 17, 2024). Evaluating seasonality often requires longitudinal data across different seasons of a year. It would be more informative to compare data spanning multiple weeks, months, or even years to better understand the seasonal patterns.
Outliers in Exchange Rates
The dataset presents several instances where the exchange rate significantly deviates from the trend. These points are termed 'outliers'. It's important to note that outliers might be due to sudden market events or anomalies in the dataset itself. Again, without considering specific external events or additional data, pinpointing the exact cause for these outliers is difficult.
In conclusion, this analysis has provided a brief overview of the exchange rate over the specified period. The exchange rate seems to generally decrease, with some fluctuations throughout the day. However, without further data and context, it is impossible to make definitive claims related to seasonality or explain the anomalies.