Major Fluctuations Observed in BMD Exchange Rates Over 24 Hours
2024-03-12
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Based on the data provided, I will guide you through each step to understand the overall trend, the seasonality, and the outliers of the exchange rate of BMD.Understanding the Overall Trend
Looking at the given data points, while the changes are not drastic, the general trend of the exchange rate seems to fluctuate rather than strictly increasing or decreasing. The rates start from 1.34747, reach a peak at 1.35246, and end up at 1.34949. Therefore, the changes are not consistently in one direction.
Identifying Seasonal Patterns
Due to the continuous nature of Forex markets, and robustness against seasonality, it's tough to say anything about daily, monthly, or yearly seasonality from the specific given data of one day. Furthermore, it's expected that exchange rates show less noticeable seasonality unless we consider high-frequency intra-day data or long-term economic variables.
Noting Outliers
Identifying outliers in the financial market is often quite a challenge, given that exchange rates can be highly volatile and swayed by a multitude of economic factors. In for this specific dataset, the fluctuation in the exchange rate is between 1.34675 to 1.35246, a small range of variation. There doesn't appear to be an explicit outlier in this short time-frame dataset which deviates significantly from its neighboring values. That said, precise identification of outliers would require more advanced statistical methods or models.
In conclusion, this time-series data shows some fluctuation, lacks apparent seasonality, and has no explicit outliers for this one specific day. Please remember that this is a simple overview based on the provided data, and a more comprehensive analysis would require extended data over a longer time period and possibly applying more computational techniques.