2024-05-02 Iranian Rial 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
Analysis of Exchange Rates Time-Series Data (IRR)
After examining the data that you have provided, it is apparent that the exchange rates for the IRR (Iranian Rial) remain incredibly stable throughout the entire dataset. The exchange rates remain at a constant value of 3.0E-5. This unchanging nature can be observed through all the timestamps on record.
Overall Trend
The overall trend of the IRR exchange rates during this period indicates complete stability with no increase or decrease whatsoever. Such consistency across a wide range of time intervals is remarkably rare in financial markets, which are often subject to volatility due to a myriad of factors both large-scale (e.g. geopolitical events or macroeconomic trends) and small (e.g. individual trades or specific economic reports).
Identifying Seasonality
Given that the exchange rates remain constant in the provided data, there are no discernible patterns, cyclical changes, or seasonal effects to note. Under normal circumstances, exchange rates can often show recurring patterns, either daily or annually, due to opening/closing of different global markets, business cycles, etc. However, none of these phenomena are detectable here due to an unchanging IRR exchange rate.
Outliers Identification
Concerning outliers, since the provided exchange rate data is constant, it means we do not have changes that could indicate an outlier. In a data series with variability, outliers would typically be rates that are significantly higher or lower than the trend or predicted value based on historical or surrounding data. In this dataset, all rates are identical, so no outliers can possibly exist.
To conclude, this analysis fully adheres to your constraints of not considering external factors or generating any future forecasts. However, it is essential to note that this kind of perfect rate stability over long periods is highly unusual in financial contexts, indicating that the given time-series data might not reflect actual market conditions.