2024-04-26 Nepalese Rupee News
2024-04-25
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Detailed Analysis
The comprehensive analysis of your given dataset, which represents exchange rate (NPR) versus different timestamps, is as follows:
1. Understanding the Overall Trend
Observing the given data, it can be noted that overall, the exchange rates do not experience significant fluctuations. They largely remain stable within the range of 0.01026 to 0.01031 over the duration of one day represented in the dataset. This is quite an unexpected trend as financial markets are usually subject to volatility. However, it is still important to note that even slight changes in exchange rates can have considerable financial impacts due to the large volumes involved.
2. Seasonality Or Recurring Patterns
With respect to identifying any seasonality or recurring patterns, the provided data set only spans over a day, which limits the possibility of deducing concrete information about seasonality or recurring cycles. You might need a dataset for a minimum period of a few months to a year to try to identify such patterns.
3. Outliers Identification
From the data provided, no extreme value, also known as an outlier, can be identified. The values in the dataset all lie within the above-mentioned range, remaining relatively stable and consistent. There isn’t any significant spike or drop in the exchange rates, which signifies that no specific event drastically impacted the rates during this period. This further suggests stability in the economic parameters during this timeframe. Always remember, recognizing outliers is important because they can lead to significant insights about certain events or errors in data recording.
Remember, the financial market is very dynamic, and the stability seen in this small dataset might not represent the overall behavior of the exchange rates.