2024-04-22 Indian Rupee 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
Sure, I will do initial data preprocessing then I will use appropriate methods of data analysis to provide you with detailed insight into the dataset.Data Preprocessing and Overview
The data represents timestamped INR exchange rates, ranging from 2024-03-22 to 2024-04-19. The timestamps are not continuous and there seems to be gaps such as on weekends or certain hours of the day.
Understanding the Overall Trend
There is generally a slight increasing trend in the INR exchange rates over the period presented, albeit with slight fluctuations. For instance, on the 2024-04-19, the exchange rate is higher than it was at 2024-03-22. However, between these dates, the values oscillate slightly above and below this linear trend.
Seasonality and Recurring Patterns
There seems to be some evidence of seasonality in the exchange rates, with cycles of increases and declines within each day. These fluctuations might be linked to the opening and closing times of financial markets, although the dataset does not provide specific times for these events. There are also larger cycles visible across periods of several days or weeks, implying longer-term trends in the data.
Outliers Analysis
There are no significant outliers in this dataset. All fluctuations in the INR exchange rate appear to be normal and fall within expected range based on the existing trend. This indicates that the movements of the exchange rates can be largely attributed to normal market forces.
It's essential to bear in mind that this analysis is based purely on the provided time-series data and does not consider external influencing factors such as economic news and events. While it provides insight into the trends and patterns within this dataset, it may not be able to fully forecast future movements of the INR exchange rates. Furthermore, for a more in-depth analysis, a more detailed dataset including other features related to financial markets may be required.