2024-05-03 Hryvnia News
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
The data demonstrates a time series type indicating changes in exchange rates (UAH) at different intervals. These intervals, otherwise known as timestamps, provide a sequential understanding of how the coefficient has changed. Aligning with the purpose of this analysis, three main objectives have been fixed - identifying the overall trend of exchange rates, noting any instances of seasonality or patterns, and calling attention to any outliers.Overall trend of Exchange Rates
Upon assessing the provided dataset, one can observe a relative stability in the exchange rates. The dataset begins with an exchange rate of 0.03479, and over the course of the time frame observed, it shows very slight fluctuations. The final recorded exchange value stands at 0.03466, demonstrating a minute decrease over the observed period. Therefore, it can be concluded that the general trend of the exchange rate over the given period does not show significant increase or decrease but rather a stability with minor fluctuations.
Identifying Seasonality and Recurring Patterns
While we observe little overall volatility in the exchange rates in the given dataset, it's important to evaluate the presence of any recurring patterns or seasonal trends. However, due to the minor range of fluctuations and short time span (one day), it's difficult to identify any clear seasonality or cyclical patterns in the data.
Outliers and Irregular Observations
If we inspect the exchange rates for extreme fluctuations, no significant outliers or anomalies were observed. All the exchange rates seem to follow a similar small range band without any significant variations or unexpected incidents.
In conclusion, the given set of data presents a case of a relatively stable exchange rate owing to the lack of significant change and absence of outliers. However, a more detailed analysis conducted over a larger dataset and time span could potentially reveal longer-term trends or seasonal patterns not immediately apparent in this limited dataset. While financial markets are inherently influenced by external factors such as market mechanisms and economic indicators, this analysis specifically refrains from such considerations as per your instructions.