2024-05-06 CFP Franc News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of the Exchange Rates
Analyzing the data provided, there appears to be a slight overall increase in the XPF exchange rates from the start of the dataset (0.01216 on 2024-04-05) to the end (0.01226 on 2024-05-03). This suggests a modest appreciation of the XPF currency over the time period covered by the dataset. However, the movement is relatively small, and there are periods of both, increases and decreases within this timeframe. This indicates a volatile trend rather than a stable one. It's also relevant to note that the rates exhibited a minimum value of 0.01207 and a maximum value of 0.01243 during this period.
Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, such an analysis would typically involve looking at patterns repeating on a daily, weekly or monthly basis. Given that this dataset covers a little less than a month and doesn't include multiple years of data, it's unlikely that any strong seasonal patterns could be accurately identified. Moreover, with the data provided, we cannot observe a clear repeating pattern of a certain time frame.
Outliers in the Dataset
Upon inspection, we notice a few select dates where there were relatively large changes in the exchange rate compared to the general trend. These might be considered outliers and may represent times of exceptional market volatility. However, these instances are few and don't drastically deviate from the overall exchange rate trend. Hence, while these could influence short-term trading decisions, they have had a limited impact on the long-term trend of the currency over our dataset’s particular timeframe.
Please note that this is a very high-level, simplified analysis and actual financial analysis could involve considering external factors (such as economic indicators, financial news, etc.), more sophisticated statistical techniques and analysis at different timeframes.