2024-05-01 Gibraltar Pound News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis Assertion 1: Overall Trend of Exchange Rates
Upon examining the observed data, I can identify a generally upward trend in the GIP exchange rate throughout the provided period. Starting from approximately 1.704 at the beginning of the recorded timestamps, the rate escalates, reaching near 1.717 towards the end of the listed dataset. This information indicates a steady increment of the GIP over the hours of the day on April 30, 2024.
Analysis Assertion 2: Seasonality and Patterns
In the context of seasonality or recurring patterns, the given dataset does not cover sufficient duration (like multiple months or years) to draw concrete inferences about seasonality aspects. Given the data is limited to a 24 hour timeframe on a single day, it inherently doesn’t capture more extensive temporal patterns or seasons. However, in terms of intraday patterns, the data shows a slight dip in the exchange rate in the early hours (around 07:30), followed by a surge (around 07:40). The rate continues its overall upward trajectory with slight volatility throughout the rest of the day.
Analysis Assertion 3: Identifying Outliers
Insight into outliers within this data is somewhat limited given the context and nature of the provided dataset. It’s hard to clearly identify significant rate deviances because substantial fluctuations could be representative of normal financial market movements, particularly in forex markets. However, a noticeable surge can be identified around 07:40, where the rate jumps from around 1.703 to approximately 1.709. Although without broader context, it can't be conclusively termed as an outlier.
Conclusion
In summary, the GIP exchange rate portrayed an overall upward trend on April 30, 2024, with minor intraday fluctuations. Recognizing any seasonality effects or identifying clear outliers needs a broader temporal context, usually spanning multiple months or years. This reflection relies solely on the GIP exchange rate changes given in the dataset and does not take into account any external factors like market timings, weekends, holidays, or financial reports that could significantly impact the exchange rates.