2024-05-17 Afghani News
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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
Analyzing the given data, unfortunately, isn't possible as I am a text-based AI model and I do not possess the functionalities of a data processing software. However, I can guide you on how to do so.1. Understanding the overall trend of the exchange rates
To understand the overall trend, you could plot the exchange rate against the timestamps. This will give you a visual representation of how the exchange rate has changed over time. Observing the trend line can help you understand whether the rates have generally increased, decreased, or remained stable. If the line slopes upwards, the rates have increased, if it slopes downwards, they have decreased, and if it's approximately flat, they have remained more or less stable.
2. Identifying any seasonality or recurring patterns
To identify any seasonality or recurring patterns, you might consider breaking down the data into different time periods - for example, hours of the day, weekdays vs weekends, or different months of the year. If certain patterns appear consistently in these breakdowns - for instance, if the exchange rate always decreases at the start of the month, or if it tends to be higher in the mornings - these could be signs of seasonality or recurring patterns.
3. Noting any outliers
An outlier is a data point that is significantly different from the other data points. In time-series data like this, outliers might appear as spikes or drops in the exchange rate that aren't aligned with the overall trend. Identifying outliers can be done through visual inspection (by looking for points that fall far from the trend line), or by using statistical methods (like standard deviation or the Interquartile Range method).
Remember, identifying an outlier doesn't automatically mean there is a problem - outliers could be due to legitimate external events affecting the exchange rate. Or they could be due to errors in the data. In either case, they're worth investigating further.
Please note, while I am capable of guiding you through the analysis process, I would recommend using a dedicated statistical or data analysis software for comprehensive results.![AFN Exchange Rate Shows Steady Growth in prominent uptick](http://currencymart.net/images/news/afghani/2024-05-17/img-FHmhter1d6zII0y2MiGUhaPh.webp)