2024-04-26 El Salvador Colon 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
Analysis of Time-Series Data
1. Understanding the Overall Trend of Exchange Rates
Given the supplied dataset, the exchange rate of SVC (presumably a financial indicator) is found to be constant at a value of 10,000,000. This suggests an absence of variability during the timestamped period. Continuously steady rates such as these typically point to stability in the market, without any fluctuations in demand, supply, or any external macroeconomic indicators that could typically influence an exchange rate.
2. Seasonality or Recurring Patterns in the Changes of Exchange Rates
Seasonality or recurring patterns in the dataset are non-existent because the exchange rate remains the same throughout the dataset. Therefore, there are no identifiable patterns, trends, or cycles based on the data given. It stays invariantly at 10,000,000 from the first to the last timestamp.
3. Noting any Outliers
Based on the provided data, no outliers can be identified as the exchange rate remains unchanged throughout the observed period. In this context, an outlier would typically represent a rate significantly higher or lower than the regularly observed exchange rate. Since there's no variance or fluctuation in the exchange rate here, it is impossible to detect any outliers.
Conclusion
In conclusion, the analyzed dataset demonstrates a constant exchange rate with no changes over time, indicating market stability during the measured period. There are no identifiable trends, no seasonality or recurring patterns due to the constant rate, and likewise, no outliers. This analysis strictly adheres to the provided data and doesn't take into account external influences like significant geopolitical events, financial news, or changes in economic policy.