2024-05-13 Zloty News
2024-05-12
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. Overview and General Trend
Based on the provided dataset, it's evident that the exchange rate has been demonstrating a variation across the timestamps. The exchange rate fluctuates slightly within a relatively narrow range, indicating a stable trend with some mild fluctuations. An initial look at the data doesn't show a clear increasing or decreasing pattern over the given timeline, signifying the absence of a significant directional trend.
2. Seasonality and Recurring Patterns
Time-series data often contain patterns, such as a trend, seasonality, or cycles. From the given dataset, no pronounced seasonality or recurring patterns can be easily observed. To ascertain the existence of any potential, subtle periodic patterns, elaborate statistical techniques that utilize autocorrelation, Fourier transformations, or wavelet analysis might be required.
3. Outliers and Unusual Instances
An outlier is a data point that differs significantly from other observations. In this dataset, no notable outliers are immediately evident, implying that there are no instances where the exchange rate strays too far from the general stability we've observed so far. However, outliers can sometimes be masked or seem less prominent in a raw dataset. In such cases, statistical tests or the construction of a box and whisker plot can be beneficial for accurate detection.
Please note: While this analysis provides an overview of the currency exchange rate behaviour over the given period, it is relatively simplistic and does not account for potentially complex underlying patterns or anomalies not immediately apparent in the raw data. For more accurate results, more sophisticated statistical tests, like the Augmented Dickey-Fuller test for trend detection or the Durbin-Watson statistic for autoregressive patterns, could be used in conjunction with advanced forecasting methods.