2024-04-16 Falkland Islands Pound News
2024-04-15
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend of Exchange Rates
The overall trend of this data suggests that the exchange rates are showing a slight tendency to increase over time. We start on the 15th of April, 2024, with an initial rate of 1.71343. Towards the end of the dataset, on the same date, the rate seems to have slightly risen to around 1.71925. While there are fluctuations throughout the data, there is a general slight increase that we notice here.
Identifying Seasonality or Recurring Patterns
In terms of daily seasonality, there seem to be several fluctuations, indicating potential rise and fall of the exchange rate throughout a certain day. There is no explicit pattern on an hourly basis as such. The granular details (spread over just a day) do not show a clear cut pattern of seasonality or recurring highs and lows in this dataset. A longer dataset spread over months or years could potentially present clearer seasonal patterns.
Noting Outliers or Significant Differences
Regarding outliers, the data seems to contain few, if any, points where the exchange rate deviates significantly from the general trend. Most of the fluctuations in rate lie within a close range, suggesting there were likely no major unusual events impacting the exchange rate on this day.
Please note that this analysis is a simplistic interpretation based on the single day of data provided. For a more comprehensive analysis, other factors like weekends and holidays, the opening and closing of stock markets, and the release of significant financial news and data should typically be considered. These factors can heavily influence the fluctuations in the exchange rates. This analysis exclusively focuses on the internal patterns and trends visible in the given dataset without generating any predictions for future trends. For a more accurate and comprehensive analysis, considering a financial calendar, more extended historical data, possibly several months or years long, could offer more insightful trends, seasonality, and potential predictions.