Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Understanding the Trend of Exchange Rates
From an initial glance of the dataset, the exchange rates display slight fluctuations, with rates that both increase and decrease throughout the period. There does not appear to be a strong trend towards either increasing or decreasing rates overall. More specific insights would require deeper analysis and computations using statistical models.
Identifying Seasonality or Recurring Patterns
- Given the format and the contents of the data, it is challenging to conclusively detect any seasonality or recurring patterns.
- This is mainly because the data points are spaced at intervals of approximately 5 minutes and there is no clear cyclical pattern detectable at this frequency. Any seasonal patterns would usually be identifiable at larger time scales (e.g., daily, monthly, or yearly).
Noting any Outliers
A more detailed statistical analysis would be required to reliably detect outliers within this data. However, at a superficial level, there are no extreme fluctuations in the exchange rate that stand out as being markedly different from the rest of the dataset.
The exchange rates seem to be relatively stable, fluctuating between approximately 0.745 and 0.747. There do not appear to be any instances where the exchange rate diverges significantly from this range.
As per the request, external factors such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports were not taken into consideration for this analysis.
However, it is important to note that these factors could potentially have significant impacts on the exchange rates. This means that a more comprehensive analysis that does take these factors into account may yield different insights.
Forecasting Future Rates
As per the request, this analysis does not include any forecasting of future exchange rates.
However, it is worth noting that forecasting future exchange rates would involve building a predictive model based on the historical data. This model would attempt to capture the underlying trend and any seasonal patterns, and could then be used to project future rates.
Given the volatility of exchange rates, such a predictive model would also need to incorporate measures of uncertainty, providing a range of plausible values rather than a single point forecast.