2024-04-26 Yuan Renminbi News
2024-04-25
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. Overall Trend of the Exchange Rates
In reviewing the whole dataset, the exchange rate of CNY has demonstrated a gradual yet minor decrease from the starting value of 0.18893 to 0.18842 over the period in question. Although there are fluctuations in the data, the general trend appears to be a subtle downtrend. However, it's significant to acknowledge that the range of the movement is narrow, signifying a relatively stable exchange rate during the examined period.
2. Seasonality and Recurring Patterns
Due to the limited scope of the provided data, and without including external factors such as weekdays/weekends and market opening/closing hours, definitive seasonal or cyclical patterns are difficult to ascertain. However, a certain level of intraday volatility can indeed be inferred, suggesting that minor fluctuations in the exchange rate are not unlikely. More extensive data or information on external factors would be necessary to identify clear patterns in exchange rate changes.
3. Outliers in the Data
With regard to outliers, or significant deviations from the anticipated values based on the identified trends or patterns, they seem not to be exceedingly apparent in the given dataset. This applies specifically when considering that the overall range of the exchange rate is narrow in the observed period. Nevertheless, any abrupt jumps or dips could have been influenced by factors not provided in the dataset like the effect of unforeseen news events or market reactions.
Please remember that this analysis is based solely on the data provided and does not consider other potentially influencing factors such as geopolitical events, policy changes, or economic indicators. Further, expert judgment and domain understanding are integral to enhance the interpretability and usability of this data analysis.