2024-05-22 Yuan Renminbi News
2024-05-21
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates:
From the provided time-series data, the typical trend observed is a gradual fluctuation in exchange rates. The varying values of the exchange rates from 0.1884 to 0.19081 show periods of both increases and decreases. Overall, the exchange rate seems predominantly stable with minor fluctuations. It might not be possible to clearly state if the pattern is generally increasing or decreasing without a graphical representation, as there are similar periods of increase and decrease throughout the dataset.
2. Identifying seasonality or recurring patterns:
As the data provided is for a single day, determining a seasonal trend is not possible directly from this dataset. Seasonality usually references annual patterns and necessitates several years of data. There might be certain intra-day patterns prevailing, however, those would require more sophisticated time-series analysis techniques to accurately detect.
3. Noting any outliers:
The exchange rates values in this dataset all appear to fall within a tight range, suggesting that there may not be any significant outliers. Determining outliers in a definitive manner would require a statistical analysis, such as calculating z-scores or implementing a machine learning algorithm for anomaly detection. Without these analyses, it is not possible to confirm the presence or absence of outliers based on the provided dataset.
Please note that this analysis is solely based on the face value of the numbers. A deeper analysis, specially including graphical plot analysis, could yield more detailed insights.