2024-04-29 Congolese Franc News
2024-04-28
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 Exchange Rates
The overall trend of the exchange rates appears to be relatively stable, remaining between 0.00047 and 0.00050 over the observation period. However, slight fluctuations can be observed at certain points within the dataset. This slightly increased volatility might contribute to the overall variability of exchange rates. While there are small variations in the exchange rates, there is no clear increasing or decreasing trend over the provided observation.
Seasonality and Recurring Patterns
In terms of seasonality or recurring patterns, there is no obvious repetitive pattern within the provided dataset. The provided time-series data does not coincide with common seasonal cycles (e.g., monthly, quarterly). The data seems to fluctuate around a constant mean, suggesting a lack of noticeable seasonality. While intra-day, major fluctuations were not apparent in this dataset; subtle, significant patterns can emerge and be identified with more advanced analytical methods such as time-series decomposition or Fourier analysis.
Outliers
There are no significant outliers observed in the provided dataset. There are no instances of exchange rates that significantly deviate from the general range of 0.00047 to 0.00050. An outlier would typically involve a sharp increase or decrease in value that doesn't align with the general trend or pattern, however, such occurrences are not found in this dataset. Therefore, the data seems to demonstrate a stable and consistent exchange rate, without prominent abrupt changes or extreme values.
In conclusion, the understanding of this dataset emphasizes a generally stable exchange rate with minor fluctuations across the specified timeline. Despite a lack of discernable seasonal trends or significant outliers, dataset demonstrates how exchange rates can exhibit stable patterns over extended periods. Financial time-series data requires sophisticated analysis for in-depth understanding, and such techniques could shed further light on sophisticated market dynamics captured in such data sets.