2024-04-26 Moroccan Dirham News
2024-04-25
Summary of Yesterday
- 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
From the data presented, the exchange rate for MAD shows a general downward trend as the timeline progresses. The rate starts at around 0.13512 and ends around 0.13495. Though fluctuations occur along the timeline, a subtle decrease over the timeframe stated seems evident. Thus, the overall trend for this period appears to be a slight depreciation.
2. Identifying Seasonality and Recurring Patterns
Given the nature of the dataset, short-term seasonality is hard to detect definitively. However, some slight influxes and declinations are observed. Typically, such rises and drops in exchange rates could be due to opening and closing hours of the financial markets around the world, but such inference cannot be made without additional data. It will require continuous monitoring of the data to establish any recurring patterns accurately.
3. Outliers in the Exchange Rates
A distinct outlier within this dataset is difficult to point out due to the relatively small fluctuations in the exchange rate. The range of the exchange rate largely remains within 0.13512 and 0.13495, so any significant deviation from this range could be considered as an outlier. But with the data provided, no such distinct anomaly can be detected. One would also need the average or the expected rate to determine outliers more effectively.
4. Impact of External Factors
The data does not provide direct indicators of the impact of external factors such as market hours, weekends, holidays, or financial news. Such factors often result in increased volatility in exchange rates. Without additional data or context, the effect of such external factors on the rate is challenging to ascertain from the dataset.
So while it is clear that the exchange rate shows slight depreciation during the period observed, further analysis with richer datasets including external factors should be conducted for a more comprehensive understanding.
