2024-05-14 Moroccan Dirham News
2024-05-13
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Based on the dataset provided, it is observed that the exchange rate (MAD) has shown little fluctuation over the period in review. The rates have remained generally stable, with slight movements throughout various timestamps. The MAD was in the range of about 0.1361 to 0.13645, indicating mild movement of fluctuations but no significant increases or decreases.
Seasonality or Recurring Patterns
From the time-series dataset provided, it is hard to identify a clear seasonal trend or recurring pattern within the day solely based on the provided data. There are slight variances between rates at different times, but they do not appear to be following a consistent, recurrent pattern that could be considered as seasonality. There is a need for longer-term data to ascertain any seasonality in the exchange rate data.
Outliers Analysis
Across the dataset, there don't seem to be any significant outliers within the exchange rate data. The deviation from the mean is small across all timestamps, indicating a lack of any anomalous exchange rate fluctuations that would skew the overall data trend.
Summary
- The overall trend in the MAD exchange rate was relatively stable with micro fluctuations within the given timestamps.
- No discernible recurrent pattern or seasonality was observed in the exchange rates on the intra-day level.
- No significant outliers were detected in the provided dataset.
This analysis does not take into consideration the external factors such as the opening and closing of different financial markets around the world, weekends and holidays, or the release of globally significant financial news and reports, which could significantly influence the currency exchange rates.
For future analysis and better understanding of the data, it would be advisable to include these macroeconomic indicators, which could provide a richer context for understanding the micro flunctuations in your dataset.
