Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Overall Trend Analysis
Upon analyzing the dataset, it is observed that the exchange rate (UZS) remains constant over all the timestamps listed. This indicates a stable trend within this particular period. In financial terms, this suggests that the market conditions affecting this currency are steady within this frame of time.
Seasonality and Recurring Pattern Analysis
Seasonality refers to regular and predictable changes that recur every calendar year, but in this case, our dataset shows no such patterns within the dates provided. Given the stability of the rate, it is difficult to corroborate any significant seasonal influence or recurrent pattern in the data provided. However, a continuous and longer-term data collection could provide further insight into this aspect.
Outliers in time-series financial data typically represent surprising, abnormal, or suspicious observations that deviate significantly from other observations. However, based on our analysis of the data provided, there are no visible outliers. The exchange rate remains stable at 0.00011 at all given times.
From our analysis, we did not identify any instances where the exchange rate differed significantly. The exchange rate was consistently stable, and no significant fluctuations or variability were observed. While we have not considered external influences like market trading hours, holidays, or the release of key financial news and research, these factors could influence exchange rates over a broader period. Nonetheless, the data provided does not reflect any of these influences, suggesting a calm market condition for UZS within the analyzed period.
In conclusion, our analysis shows that the UZS exchange rate depicted a stable trend during the period in question. No significant changes, seasonal patterns or outliers were noted within this period. For a more in-depth analysis and understanding of the UZS trend, a larger and more diverse dataset, perhaps encompassing several months or years with varied market conditions, would potentially offer more nuanced insights.