2024-04-22 Rufiyaa News
2024-04-21
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
1. Understanding the Overall Trend of the Exchange Rates
The dataset provided indicates fluctuations in the exchange rate (MVR) over time. From an initial glance, there doesn't appear to be a clear upward or downward trend. Instead, the exchange rate tends to fluctuate within a narrow range from around 0.087 to 0.089 from the start to end of the dataset. Therefore, considered overall, the exchange rate can be considered relatively stable for this particular time period. In addition, there is no noticeable sustained period where the exchange rate is exclusively increasing or decreasing significantly.
2. Identifying Seasonality and Recurring Patterns
Regarding any seasonality or recurring patterns, the dataset doesn't provide a full calendar year of data, which makes it difficult to determine any such patterns conclusively. However, within the available data, there doesn't appear to be clear seasonality or time-based patterns. Instead, fluctuations in the exchange rate seem to happen relatively randomly without a defined pattern. Therefore, significant care should be taken before any assumption concerning predicted patterns or cycles in the exchange data.
3. Noting Outliers and Abnormal Instances
In terms of outliers or significant deviations from the general rate, there appear to be several instances where the exchange rate reaches high or low points. For example, the highest exchange rate of about 0.0892 occurs at the timestamp 2024-04-12 14:00:01, while one of the lowest values of 0.087 occurs at 2024-04-04 08:00:03. These deviations, however, don't appear to stray significantly from the range within which the exchange rates generally fluctuate and thus can be considered as part of the typical volatility of the exchange rates rather than extraordinary outliers.
In sum, the exchange rates appear moderately stable with several points of fluctuations but without a clear upward or downward trend or noticeable seasonality. Extreme caution should be taken before making any financial decisions based on these observations, as market behaviours are affected by a multitude of various factors not directly observable in the dataset.