2024-05-15 Indian Rupee News
2024-05-14
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Firstly, let's structure the data into two columns: Timestamp and INR Exchange Rate. This structured dataset will make visualization and further analysis simpler.
Next, the following analysis will be a high level, descriptive analysis - interpreting the numbers and trends in your data, but not making any predictive forecasts.
1. Understanding the Overall Trend
The exchange rates slightly vary through the duration under review but they seem to generally remain stable without a significant increase or decrease. A potential inference from this could be that during this period, the currency in question (INR) had a stable value subject to minute fluctuations.
2. Seasonality and Recurring Patterns
Due to the short term nature of the provided dataset and lack of data points, a definite or visible seasonality or recurring patterns are not evident. However, a more granular examination might reveal minute to minute or hourly patterns, but that would require a more complex time series analysis methodology.
3. Outliers
The exchange rate displayed occasional minute variations. However, these variations don't appear to be significant. It's also important to note these could be due to common, everyday influences on exchange rates such as market dynamics and not necessarily indicative of an outlier or anomaly. With the provided dataset, no instances of significant and unexpected variations are visible.
As stated earlier, this analysis provides a general overview of the INR exchange rate's behavior over the specific duration but does not provide predictive insights or an in-depth minute or hourly analysis. Information outside the given data, such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, was not considered.