2024-04-19 Somoni News
2024-04-18
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Given the comprehensive dataset provided, let's delve into an analysis of the time-series exchange rates (TJS) data.Overall Trend of TJS Exchange Rates
Upon examining the provided dataset, the TJS exchange rate exhibits some fluctuations but essentially maintains a relatively stable trend. When we look solely at the figures, it initiates at 0.12627 and concludes at 0.12552. The minor difference in these values indicates that over the entire period, the exchange rate underwent a mild decrease. Although there were several ups and downs in the middle, the overall change was minimal.
Identification of Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, it's complex to make definitive conclusions only from this dataset. Given that the data is for one day, and the minimal range of variation in rates, it is challenging to establish recurring patterns. An examination of multiple days, weeks, or even the same day across different weeks would offer a more precise depiction of any seasonality or cyclical trends. However, based on this limited dataset, the fluctuations seem random rather than exhibiting a discernible recurring pattern.
Significant Outliers in the Data
In regards to outliers, the dataset most notably saw a sharp decline at '2024-04-18 20:05:03' where the rate dropped to 0.12546 from 0.126. This drop does not align with the otherwise more gradual fluctuations in the rates throughout the day. It is the most substantial single movement in either direction. Post this dip, the rate steadily increases again but does not reach previous values, indicating this could have been an extraordinary occurrence affecting the TJS exchange rate.
Note
This analysis has been conducted purely on the numerical data provided and does not account for any potential impacts from external influences such as market opening/closing times, weekends or holidays, or the release of any crucial financial news or reports. A more comprehensive analysis might include these factors to provide further context, understand anomalies, and interpret overall trends.