2024-05-01 Malagasy Ariary News
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis Of Exchange Rate Data
The provided data set contains time-series financial data about the exchange rates (measure in MGA) at different times. Here is the detailed analysis on the data focused on identifying the trend, seasonality and outliers.
1. Trend Analysis
Upon examining the data, it's observed that the exchange rates are constant at 0.00031 throughout the entire time frame provided. This implies that the rate neither increases nor decreases during this period. Thus, it can be considered as a stable trend with no variation.
2. Seasonality
The concept of seasonality refers to a periodic and predictable pattern in a time series dataset that happens over different time frames such as hourly, daily, weekly, monthly, etc. In the case of the given dataset, no seasonality is detected. The exchange rate remains the same irrespective of the time of day or the day of the week.
3. Outlier Detection
An outlier is a data point that differs significantly from the rest of the data. "Significantly" is subjective and can be defined by the analyst based on the specific situation and requirements of the scenario at hand. In our data, as every data point is exactly 0.00031, there are no data points that significantly differ from the other. This means that no outliers are identified in the dataset.
4. Additional Information
- The data is quiet, meaning it has low variance or no variance at all, and thus does not give much information aside from the main value 0.00031.
- An increase or decrease in data variability may indicate a signal that should be explored further. However, in our case, no such signal is observed.
- For a more detailed analysis in the future, it will likely be beneficial to collect data points at more diverse times rather than fixed intervals to capture a fuller picture of exchange rate behavior.
Remember, every financial analysis should consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. However, as per your request, this information was disregarded in the current analysis.
