2024-05-17 Som 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
Analysis of the Exchange Rate Data
The data provided includes timestamped records of exchange rates in KGS from May 16, 2024. These rates are tagged to various timepoints throughout the day. With this data, it is possible to complete an analysis of the general trends, seasonality and potential outlier values. Let's delve into each aspect.
1. Understanding the Overall Trend
From the dataset, it can be observed that the exchange rates started at a value of 0.01541 on the day and stayed flat for a significant period before starting to rise slightly. The rates hit a peak value of 0.01545 before descending back to 0.01542 and finally ending flat at 0.01544 at the end of the day. Overall the exchange rate displayed a slight increasing pattern although the changes were minimal.
2. Identifying Seasonality or Recurring Patterns
Given the limitations of a single day's worth of data, it is difficult to clearly identify any seasonality or recurring patterns. However, the dataset does show some patterns of fluctuations in the exchange rate during certain hours. The rate mostly remained stable during the early hours of the day, then started to rise slightly during the mid-hours, then decreased again, and finally ended with a slight increase. More data spanning over a larger timeframe (such as over several weeks, months, or years) would be required to discern if there is a recurring pattern or seasonality in the data.
3. Noting Outliers
Upon review of the data, there don't seem to be any significant outliers when observing the numbers provided. Most of the rates recorded stay within a tight range from 0.01541 to 0.01545 with no extreme or unusual values. Although there is a minimal fluctuation in the rates, these changes are quite small and don't stand out as abnormal.
In conclusion, the analysis has shown an overall increasing trend in the data with some minor fluctuations within specific time periods. However, due to the limitations of the data provided, it is challenging to firmly establish seasonality or recurring patterns. The outliers in this dataset are negligible, suggesting a stable market during the period analysed.