2024-05-22 CFA Franc BCEAO 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
Summary Analysis
Your dataset represents the time series data for exchange rates (XOF) in a timestamp format, spanning multiple points of time. Based on the data provided, here are some findings:
Understanding the overall trend of the exchange rates
The XOF exchange rates have remained stable throughout the period displayed, with no marked increase or decrease. The exchange rate stays consistent at 0.00226 for the majority of the data given, and there's a minor increase to 0.00227 observed at several points during the timestamp series. This indicates a very stable exchange rate during this time period.
Identifying any seasonality or recurring patterns in the changes of exchange rates
From a high-level examination of the data, there does not appear to be any seasonal or recurring patterns in the XOF exchange rate. The rate remains consistent at 0.00226 for the majority of the period, with a slight increase to 0.00227 that doesn't show an evident pattern. Without more detailed or extensive data, it would be difficult to identify any potential seasonality.
Noting any outliers in the data
Considering the data provided, no significant outliers are observed. All the exchange rates fall between 0.00226 and 0.00227 with no sudden spikes or drops, indicating absence of significant deviations from the overall trend. However, there was a change from 0.00226 to 0.00227 which might not be exactly an outlier but it is a deviation from the norm based on the data given.
In conclusion, the XOF exchange rate appears to be stable over the period displayed, with no clear patterns, seasonality, or significant outliers. However, please understand that exchange rates are influenced by an array of economic, political, and even psychological factors. A comprehensive understanding of exchange rate movements would usually require more detailed data, and a deeper analysis considering these other factors.