2024-04-18 Congolese Franc News
2024-04-17
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overview of the Exchange Rate Trend
Looking at the dataset, the CDF exchange rate seems relatively stable, mostly ranging between 0.00049 and 0.0005. This narrow fluctuation suggests the currency remained relatively stable over the dataset's timespan. However, there are two distinct levels of the exchange rate in the dataset: an earlier period where the rate was mostly 0.0005 and a later stage where it was largely 0.00049. It is not clear from the dataset alone why there was this slight decrease in the rate and when exactly it happened.
Seasonality and Recurring Patterns
The data does not contain any clear signs of seasonality or regularly recurring patterns. The exchange rates do not seem to follow a predictable pattern understanding from timestamps concerning different times of the day or specific days. The shifts from 0.0005 to 0.00049 seem to occur irregularly and without a recurring time pattern, making it difficult to identify any seasonality using the data at hand.
Presence of Outliers
The exchange rates in the dataset are consistent without significant deviations. The prices neither spike nor drop drastically at any given point, suggesting that there are no notable outliers in this dataset. Both rates 0.0005 and 0.00049 occur repeatedly and frequently, so neither can be considered an anomaly.
Considerations not Included in the Analysis
It is important to note that this analysis is only descriptive and does not account for potential influencing factors not included in the dataset, such as market opening and closing times, weekends and holidays, news releases, economic or political events, etc. Real-world exchange rates are influenced by a vast range of factors, many of which are not reflected in this dataset. Also, no predictive analysis was performed; only previously existing data was analyzed for trends, patterns, and outliers.
There is scope to conduct more comprehensive and accurate analysis if more information relevant to the financial market becomes available or if the scope of the analysis expands to include predictive modeling.
