2024-05-08 Iranian Rial News
2024-05-07
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 trend
The exchange rate given in the dataset for all periods is 0.00003, or 3.0E-5. This means that the rate is perfectly flat - there is no increase or decrease throughout the entire dataset, but rather, the rate remains the same. It is unusual for an exchange rate to be perfectly stable in this way, as rates are typically subject to fluctuations due to market dynamics, economic news, political events and changes in supply and demand.
Seasonality and Recurring Patterns
Given that the exchange rate is the same throughout the entire period there is no evidence of seasonality or recurring patterns in the dataset. Usually, with time series data, one might see patterns that correspond to specific times of day, days of the week, or months of the year. However, in this instance, the constant rate rules out the possibility of these patterns.
Identification of Outliers
An outlier in a dataset is an observation that lies an abnormal distance from other values in a random sample from a population. In this particular dataset, given that exchange rate is the same for the whole period, there cannot be any outliers.
It's worth mentioning, though, that this constant exchange rate is in itself out of the ordinary. Most financial time series data contain variability and aren't constant over time. The fact that these exchange rates are unchanging might suggest that they're being set or controlled in some way, rather than being subject to the usual market forces of supply and demand.