2024-04-22 Zloty News
2024-04-21
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
1. Understanding the overall trend of the exchange rates
Upon observing the given dataset it can be deduced that there is a subtle fluctuation in the exchange rates of PLN. The PLN exchange rate tends to fluctuate within a small range over the period of time in question, without showing a significant overall upward or downward trend. However, a closer inspection may be needed to determine if a more detailed view of the exchange rates over time will reveal more complex patterns.
2. Identifying Seasonality or Recurring patterns
Analyzing the timestamps transversely with the PLN rate, there isn't any visible seasonality or recurring pattern in the given dataset. The exchange rates do not appear to demonstrate a significant degree of seasonality within the days covered by the dataset. However, a further in-depth time-series analysis with a larger dataset spanning over months or years could be useful in pointing out seasonal trends or more accurate patterns.
3. Noting any outliers
In terms of outliers, there are no obvious instances where the exchange rate spikes or dips significantly, diverging from the overall pattern. The rates neither peaked drastically nor dropped suddenly, indicating a lack of extreme outliers in the given dataset. However, detailed statistical analysis is recommended to spot subtle outliers that may not be immediately noticeable from a general overview.
Please note that this analysis is a relatively basic interpretation of the given time-series data and more detailed analysis methods (e.g., using machine learning models or complex statistical analysis) may reveal deeper insights or more subtle trends.