2024-05-06 Russian Ruble News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the Overall Trend of the Exchange Rates
Based on a review of the dataset provided, the Ruble exchange rate shows a slight overall upward trend over the timeframe, moving from around 0.01467 at the start of the data to peaks of around 0.01484 mid-April and 0.01483 late April. However, it's important to note that while there is a general upward trend, fluctuations are consistent throughout the dataset. The numbers vary mostly between around 0.0146 and 0.0148. It seems that the exchange rate remains relatively stable in general, neither sharply increasing nor decreasing in the provided timeframe.
2. Identifying Seasonality and Recurring Patterns
Upon reviewing the data, the day-to-day rate seems to have a specific pattern. There is a reoccurring hourly fluctuation detectable during the day, with lower rates generally reported around early to late morning, typically followed by a rise during the rest of the day. The exchange rate seems to drop slightly daily, before climbing back up.
3. Noting Any Outliers or Unexpected Instances
The dataset provided also contains a few notable outliers. These are moments where the exchange rate differed significantly from the general trend or the expected pattern based on the day-to-day fluctuations. For instance, after maintaining a value above 0.01472 on 15 April 2024, the rate dropped sharply to around 0.01461 on 19 April 2024, staying low for a short while before climbing back towards the 0.0148 region. Another sharp decrease can be observed on 29 April 2024, where the rate descends from 0.0148 to around 0.01462.
It is important to remember that this analysis is purely descriptive and does not take into account external factors. Characteristics of the forex market, such as its 24h operation cycle and varying activity hours throughout the world, can also contribute to the fluctuations observed in this data.