2024-05-08 Forint 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
Overall Trend of the Exchange Rates
The dataset provided records the exchange rates of HUF against another currency over a specific time period. By observing the data, it is clear that the exchange rate remains relatively stable for most of the time. The rate started at 0.00379 and ended at 0.0038, showing a very slight increase over the observed period. The minute fluctuations observed are considered normal in the foreign exchange market.
Seasonality or Recurring Patterns in the Exchange Rates
From the supplied dataset, any concrete seasonality or recurring patterns are not readily apparent due to the relative consistency of the exchange rate in the given time period. In the forex market, seasonality trends typically emerge over longer durations rather than within a single day. Therefore, daily level data may not accentuate such patterns. A larger dataset spanning months or years may be required to properly analyze and identify these trends.
Outliers or Significant Divergences
Since the exchange rate values provided in the dataset are quite stable, there are no visible outliers, or instances where the exchange rate significantly differs from the expected value. Most values are either 0.00379 or 0.0038, with some tiny variations at certain timestamps. Such slight variations are quite common in currency exchange markets and do not generally signal outliers.
It should be noted that these results are based on the provided data alone. Other variables, such as market opening/closing hours, weekends/holidays, or the release of important financial news and reports, weren't taken into account given they were explicitly excluded in the instructions. This analysis is exclusively tailored to isolated examination of the trend, seasonality, and irregularities within the given dataset.
Please note this analysis is very preliminary and basic, and depends heavily on the limited subset of data provided. For a more comprehensive understanding, a more extensive dataset capturing a wider timeframe would be required, potentially incorporating other influential factors to account for comprehensive context.