2024-05-03 Gibraltar Pound 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
From the first glance at the dataset, it is clear that the GIP exchange rate has both increases and decreases over the specified period of time. Let's go into more detail on each goal.Overall Trend of the Exchange Rates
Over the observed period in the provided dataset, the exchange rate has experienced irregular fluctuations. Starting at approximately 1.70938, the rates have followed a general downward trajectory, reaching its lowest value at 1.70174 on the same day.
However, it is crucial to note that the exchange rate has not steadily declined - there have been several significant increases and decreases throughout the day, which indicates volatility in the exchange rate within these timestamps.
Seasonality or Recurring Patterns
Given that the provided dataset only covers a single day in granularity of every 5 minutes, making conclusions about seasonality or long-term recurring patterns is challenging. However, there seem to be certain periods with more volatility, whereas others are comparatively stable. For instance, from 06:00 to 14:30, the exchange rates have been mostly decreasing, then from 14:30 to 20:00 the trend reverses and the rates start to relatively increase.
It's hard to draw a strong conclusion about seasonality from this data as it covers a very short period. Longer-term data - for example, over multiple months or years - would be needed to reliably identify and analyze seasonal trends.
Outliers
There are instances where the exchange rate differs significantly from the general trend, suggesting the presence of outliers. Notable examples include dropping from 1.70981 at 05:20 to 1.70881 in the next 40 minutes, and increasing from 1.70169 at 21:05 to 1.70226 in the next 5 minutes. Such events might be triggered by specific market events and would need to be further investigated to obtain a clear understanding.
Keep in mind that the identification of outliers can also depend on the context and underlying factors (which are not considered in this analysis). It might be useful to take into consideration the conditions of the market and any economic or political events occurring during the time of these outliers.
To accurately interpret and predict time-series data such as this, more comprehensive data is desirable, and external factors, such as market conditions, political events, and economic indicators, should be taken into account. Please keep in mind that this analysis doesn't provide any prediction or forecasting. Each data point (every 5 minutes) is treated independently without considering any possible correlation between them. Please consult a financial market professional or use a prediction model to make any financial decisions.