2024-04-22 Russian Ruble News
2024-04-21
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
Overall Trend of the Exchange Rates
On analyzing the provided timestamped exchange rates from 2024-03-22 to 2024-04-19, it appears that there are minor fluctuations, but the overall rate seems relatively stable. The rate started at 0.01468 on 2024-03-22, and it displayed a very slight upward trend initially, peaking at 0.01476 on 2024-03-25, and then saw a slight decline to 0.0146 by 2024-04-10. After this, they slightly increased reaching 0.01484 on 2024-04-12. Finally, they declined back down to almost exactly where they started, at 0.01463 by 2024-04-19. Therefore, there is no significant long-term increase or decrease trend captured by this data although there were small day-to-day fluctuations.
Seasonality or Recurring Patterns
Looking for recurring patterns or seasonality in the data set, it was hard to determine any certain daily pattern given the irregular comparison points provided in the timestamp. Rates fluctuate throughout the day but end up relatively flat from one day to the next with minor increments and decrements. Furthermore, from the available dataset, there does not seem to be any obvious weekly patterns either in the exchange rates. Please note, a larger dataset might give more insights into this and improve the pattern analysis.
Outliers Analysis
The dataset that features values out of the general trend are considered as outliers. In the provided dataset, there're no apparent outliers. All values are in a reasonable range, given the opening and closing values, and considering the fluctuations in-between. There is a noticable jump from 0.01459 on 2024-04-10 06:00:02 to 0.01469 on 2024-04-10 08:00:03 and continues to rise till it reach 0.01474 on 2024-04-10 12:00:03. This could be due to several factors within the market, including specific buying/selling activities or economic updates but again this is not a significant inconsistency.
Note: This analysis is based on the given dataset and does not account for any external factors such as events in the real-world economy, market opening/closing hours, or weekends/holidays. A good time-series analysis usually involves such factors for a precise understanding of the trends and patterns - consider this in any further, in-depth analysis.