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

Upon the first glance, the trend of the ILS exchange rate from the given data gradually decreased throughout the period. Starting from a rate of around 0.36231 at the start of the period, it declined to approximately 0.3589 by the end. This suggests a downward overall trend in the ILS exchange rates. However, this decrease is minimal and could be argued that the exchange rate remains relatively stable. It is noticeable that the rate fluctuations within this period were not significant.

Seasonality and Patterns

Looking closer at the data, there doesn't appear to be a clear seasonality in the given data or specific times where the exchange rate changes consistently. The data we have is not over a long enough period to definitively comment on any seasonal trends or patterns. This could perhaps be identified if information were available over the period of several months or years.

Outliers

As for outliers, with the data provided, there doesn’t seem to be any significant outliers or instances where the exchange rate deviated largely from the trend. The given ILS exchange rate maintains between the range of 0.35883 and 0.36231. There are minor fluctuations within this range, but nothing that stands out as a significant deviation or outlier from the rest of the data. It is still advisable to complement this analysis with statistical test analysis in order to back this view.

Limitations

It is important to note that this analysis is purely based on the data provided and does not take into account possible impact factors such as market opening/closing hours, weekend/holiday effects, or the release of crucial financial news and reports. External factors, such as geopolitical events, changes in monetary policy, and global economic indicators could also significantly influence the exchange rate. Given the limited time span and the lack of more granular data (e.g., intra-day highs, lows, opening, closing values), the depth and granularity of analysis are somewhat constrained.

Furthermore, this analysis does not predict future rates and the observed trends may not continue into the future as financial markets can be influenced by numerous unpredictable factors. Lastly, exchange rate movements can be random and influenced by speculation; hence the past movement might not have any relation with the future performance. For drawing concrete conclusions or getting the holistic view about currency behavior, other factors affecting currency and proper fundamental and technical analysis are needed along with time series analysis.