Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Overall Trend of Exchange Rates
The data provided indicates some trends over a given period. From an initial view of the data, it seems there is a gradual increase in the exchange rates as time progresses. There are minor fluctuations between the rises and falls, which is typical in financial time-series data due to uncertainty and volatility in the market.
Seasonality and Recurring Patterns
Considering the time series data, no immediately apparent seasonality can be observed due to the relatively short timeframe. If there were data spanning multiple years, it might be easier to draw seasonal conclusions as exchange rates are influenced by macroeconomic events. However, based on this dataset, it appears the trends are more cyclical throughout the hours of the day rather than by season.
This dataset seems to contain few instances of significant outliers. While the rates show a varying level of volatility, most fluctuations seem to fall within a predictable range for this kind of financial data. Some unusual spikes or dips in rates might be considered as potential outliers. However, without knowledge of the market conditions during each time period, it's challenging to pinpoint whether these phenomena are truly abnormally relative to the market’s condition.
While the request was to not consider external factors such as market opening/closing hours, weekends/holidays, key financial news, and reports, it’s essential to note that exchange rates are generally very sensitive to these factors. As this analysis is based on data alone, any potential influences due to these extraneous factors would not be detected.
In-depth Analysis and Forecasting
For a more comprehensive and accurate analysis of the financial data or an accurate future rate forecast, a more exhaustive dataset would be required – ideally one that spans multiple years. It would also help to consider market contexts, like geopolitical events, shifts in economic policy, or major changes on the global economic stage. Contextual data like these are critical in predicting currency performance and truly understanding rate fluctuations.