2024-04-17 Indian Rupee 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
Overall Trend Analysis
The overall trend of the INR exchange rate data shows minor fluctuations within the dataset's timeframe. The initial rate is recorded as 0.01653, and completing a full cycle, it ends around the same value on the last timestamp presented in the data. While there are slight peaks and valleys, there isn't a significant increasing or decreasing pattern that can be gleaned from the data provided. The exchange rates largely remain stable, with minute oscillations.
Seasonality or Recurring Patterns
Given that the dataset is within a single day's parameter, we cannot present accurate findings regarding seasonality. Seasonality usually requires observations over various cycles, typically observed in larger timescales - monthly, quarterly, yearly. However, within the day, there do not appear to be consistent, recurring patterns of change in the INR exchange rate.
Outliers Identification
The spotting of outliers within financial time-series data indeed bears a crucial significance. However, in this dataset, the exchange rate doesn't show any substantial or abrupt inconsistencies. The dataset ranges from 0.01648 to 0.01655, a narrow range indeed, with most values hovering around 0.01652. Thus, based on the available data, there do not appear to be significant outliers.
All these insights are strictly derived from the provided dataset. The complexities involved in financial market dynamics are vast, with external factors such as macroeconomic indicators, news events, market hours can heavily influence fluctuations, which are not analyzed here. The above insights provide a basic understanding of the dataset patterns without any forecasting or future implications.