2024-04-19 Armenian Dram News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the Overall Trend of Exchange Rates
From the first glance at the data, it seems that the balance of the AMD exchange rate was relatively stable throughout the provided period with minor oscillations. The rate majorly revolved around 0.00349 to 0.00350, with the highest rate encountered being 0.00350 and the lowest rate being 0.00347. The data doesn't show any noticeable uptrend or downtrend. Instead, we can see a minor fluctuation of the rate within a relatively small range indicating that the market was quite stable during this period.
Identifying Seasonality or Recurring Patterns
Patterns of seasonality or reoccurrences are identifiable when there's a predictable and repeating movement within the data set. However, with the given data, we don't see a clear indication of seasonality. The range of the exchange rates, which falls between 0.00347 and 0.00350, remained consistent throughout different hours of the day. Due to the lack of significant variation in the exchange rates, it might not be possible to infer any seasonal influence or recurring patterns from this dataset.
Noting Outliers
In this dataset, any rate that is significantly different from the range limit (0.00347-0.0035) could be considered an outlier, because it would be far different from the majority of observed rates. However, from the available data, the values primarily remain within this band. Hence, no significant outliers can be identified from this particular series of data.
In conclusion, the AMD exchange rate during this period was relatively stable; maintaining consistency with minor extent of fluctuation.
Keep in mind that without considering external factors such as market dynamics, fiscal news, and geopolitical events, etc., these findings represent a surface-level inference from the given dataset. A more in-depth analysis would require considering such factors which are not part of the provided data.