2024-04-19 Azerbaijanian Manat News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
I am going to give a comprehensive analysis of the given dataset. This analysis is aimed at deducing the overall trend of the AZN exchange rates over the stated time, detecting any instance of seasonality or recurring patterns, and identifying any outliers.Analysis:
Looking at the general progression of data points throughout the provided dataset, it is evident that the AZN exchange rates do experience changes over time. Here is a detailed explanation of the trends, patterns, and irregularities observed:
1. Overarching Trends in the Exchange Rates:
Upon a closer analysis, the AZN exchange rate does not seem to follow a strictly increasing or decreasing trend within this particular dataset. Rather, the value experiences certain fluctuations, with periods of increase and decrease. Overall, the value seems relatively stable with minor differences in the exchange rates.
2. Seasonality and Recurring Patterns:
In this dataset spanning a 24-hour period, there is not clear indication of seasonality or recurring patterns in the changes of exchange rates. Considering that the time frame is relatively short, finding a seasonal pattern might be challenging. However, for a more accurate determination concerning seasonality, we would need data over a more extended period; for instance, an observation over multiple weeks, months, or years.
3. Outliers:
There are several instances where the exchange rate varies significantly from the average within a short period. Key examples include the drastic dip at the timestamp '2024-04-18 03:20:02' with an exchange rate of 0.77858, and the considerable spikes at '2024-04-18 21:55:02' and '2024-04-18 23:30:02' at rates of 0.84028 and 0.78569 respectively. It's important to point out that these anomalies may have been caused by a number of dynamic factors, which are not clearly identifiable within the scope of the given dataset.
In conclusion, the dataset reveals that the exchange rates do not strictly follow a specific trend, presenting both periods of increase and decrease. Seasonality or recurring patterns are not distinctly identifiable within the short frame of the data. However, there are definite outliers which warrant further investigation to determine the influencing factors.