2024-05-06 Iranian Rial News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Upon observing the dataset provided, we can carry out some basic trend analysis and pattern recognition. However, please note that without further context, our findings will be purely statistical and may not account for market nuances.
1. Observing the Overall Trend
The exchange rates (IRR) displayed in the dataset provided surprisingly remain constant at the value of 3.0E-5 throughout the entire date range. To understand the trend, typically, we would either look for increases, decreases, or fluctuations over time. But in this scenario, there's no trend as such since the value is static.
2. Seasonality or Recurring Patterns
Again, due to the constant nature of the data provided, there are no visible indications of seasonality or recurring patterns in the exchange rates. Usually, recurring patterns might occur daily (e.g., specific hours), weekly (e.g., specific days), or monthly (e.g., specific dates), but it is not applicable in this case.
3. Outliers
Given that the entire dataset is constant and has no variations, there are no outliers to note in the Exchange rate data. In general, outliers could be identified by sudden unexpected spikes or dips - none of which exist in this dataset.
It's rather unusual for exchange rate data to remain entirely constant without any changes over a long time span, considering the nature of the forex market's volatility. The results of this analysis could be influenced by a number of factors, such as the data's narrow range, potential errors at the source, or the lack of volatility in the forex market for the exchange rate being observed.