2024-04-17 Argentine Peso News
2024-04-16
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
Based on your request, I've analysed the given time series financial data.
1. Understanding the overall trend of the exchange rates
Observing the data, it can be noted that the exchange rates of ARS remain constant over the given time period. The exchange rate has been consistently at the rate of 0.00159 with no changes noted. Thus, the trend of the exchange rate is perfectly stable during this period.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
As the exchange rate remains constant throughout the duration of this dataset, no patterns or seasonality can be identified. This indicates that during this specific time period, the exchange rate has been unaffected by any seasonal or cyclical factors. However, to confirm seasonality or recurring patterns in data, variation is needed in the dataset
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
Given the constancy of the exchange rate in this dataset, there are no outliers. An outlier would require a significant deviation from the observed rate, which hasn't occurred in this dataset.
In conclusion, this dataset suggests an exceptionally stable exchange rate for this period. However, this analysis is limited to the data provided and does not consider any external factors which might be relevant in a more in-depth evaluation. To gain a more comprehensive understanding of exchange rate behaviors, a larger and more varied dataset could provide more valuable insight.