2024-04-22 Gibraltar Pound 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.Trend Analysis
From a quick observation, the exchange rate seems to exhibit a downward trend throughout the given period, with some fluctuations. However, it should be noted that multiple peaks and troughs occur but the general trend appears to steadily decrease. This might be attributed to natural market movements, influenced by supply and demand dynamics in the financial markets.
2.Seasonality Detection
Determining seasonality in such a dataset can be complex as it requires a longer temporal frame to accurately detect any recurring patterns. It's also crucial to note that exchange rates are subject to numerous influences, which can cause substantial noise in the data. Nevertheless, given the dataset provided, no clear seasonality patterns (i.e., consistent fluctuations that repeat in a predictable manner) seem to be identifiable. Although there are daily fluctuations, they do not seem to follow any consistent pattern that would define a seasonal cycle.
3.Identification of Outliers
In the provided dataset, there are no noticeable data points that differ significantly from the surrounding ones, thus potentially signaling an outlier. However, it should be noted that 'outliers' in the financial market context may not be relevant due to the high volatility often observed in these markets. For a more accurate detection of outliers, statistical techniques that consider the overall distribution and variance of the dataset, like Z-score or the IQR methods, need to be applied.
Please note that these observations are based on the dataset provided, and do not consider any external influences or events that could have impacted the exchange rate throughout the given period.