2024-05-17 Indian Rupee News
2024-05-16
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of the Provided Dataset
The provided dataset reflects the time-series data for the exchange rate of INR against a reference currency at different timestamps. Herein, we observe a range within timestamps from 2024-05-16 00:00:02 to 2024-05-16 23:55:01.
Understanding the Overall Trend of the Exchange Rates
Upon a visual inspection of the dataset, we note that the exchange rate seems predominantly stable throughout the given time period. The data fluctuates between 0.0163 to 0.01633, suggesting very minimal changes in the INR exchange rate throughout a single day. Hence, the overall trend signifies a relatively stable exchange rate during this time frame.
Identifying Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, it's important to recognize that the data given is within a single day, which doesn't offer a broad-enough perspective to conclusively identify any seasonality in the exchange rates. Weekly, monthly, or annual data might provide a clearer view of such patterns. However, we can analyze intraday patterns within this day's data. If these patterns occur every day, we might infer a daily recurring pattern. Unfortunately, according to the dataset provided, the exchange rate appears consistent throughout the day, hence no distinct intraday pattern is apparent.
Noting any Outliers
An outlier is usually defined as a data point that significantly differs from other similar points. In this dataset, all data points range within a very tight band (0.0163 - 0.01633), with microscopic deviations along the way. No extreme spikes or falls in the exchange rate indicate the presence of outliers in this dataset.
Conclusively, this dataset signifies a stable INR exchange rate across the reported day with no visible outliers, seasonality, or notable recurring changes.