2024-04-19 Kina News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of Exchange Rates
Upon analyzing the supplied dataset, it appears the progression of the exchange rate does not follow a consistent or straightforward upward or downward trend. Instead, the data shows some degree of volatility, with the exchange rate at times experiencing increases or decreases, and other times maintaining relative stability.
Seasonality and Recurring Patterns
An analysis for recurring trends or seasonality requires a longer period and a broader dataset than the one supplied. In this dataset, it's difficult to conclusively determine distinct patterns or the presence of seasonality due to the lack of provided contextual data (e.g., accompanying economic indicators or relevant events).
Outliers in Exchange Rates
While assessing the dataset, there were few notable fluctuations, the most significant being from 0.36183 to 0.36812, then to 0.3682, 0.36839, and similarly until 0.36881. Post this, the exchange rate dips to 0.36117, which has likely contributed to the overall volatility. These could be potential outliers as these values differ from the overall trend. However, without understanding the economic or market conditions driving these changes, it's tricky to pinpoint these as genuine outliers.
Remember, financial data is greatly influenced by real world events which this analysis does not take into account. As such, these conclusions are based solely on numerical data analysis, and it would be beneficial to complement this with additional financial information for a comprehensive understanding of the exchange rates' behavior.