2024-05-06 Somoni News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend of the Exchange Rates
The TJS exchange rates show a fluctuating trend over the period of the data. The rates start at 0.1239 and end at 0.12538 which indicates a slight overall increase in the exchange rate during the time period observed. However, it’s not a straight trend upward; there are several ups and downs in between. In short, the exchange rate has been somewhat volatile, with minor increases and decreases over the timeframe.
Seasonality and Recurring Patterns
At first glance, there don't seem to be highly evident seasonal or recurring patterns in the exchange rates based on the provided data. The data doesn't provide clear repeats in the pattern that would indicate a cycle. Further sophisticated time series analysis methods may be used to extract potential subtle seasonality that might not be immediately visible.
Notable Outliers
Spotting outliers in the time-series data requires keen observation and analysis. An outlier is a data point that significantly differs from the other data points. It's hard to identify a clear outlier in this dataset without further statistical analysis as some spikes or dips could be considered as potential outliers. For example, at timestamp '2024-04-10 14:00:03' the exchange rate jumps to 0.12492 from 0.1237 at '2024-04-10 06:00:02'. This could be a potential outlier. However, specific thresholds and boundaries should be defined statistically to identify outliers.
Please note, outliers could be due to either a real trend or 'noise'. Real trend outliers should be investigated further as they may contain valuable information but 'noise' outliers are usually due to errors and should be removed or corrected for meaningful analysis.
Other Observations
Although the aim was not to consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, it’s worth noting that such factors could highly influence these exchange rates. For instance, rates might exhibit differing trends on weekdays vs. weekends, or during different hours of the day. Hence, even though our analysis did not identify a clear periodic trend or notable outliers, this doesn't mean that they don't exist. Market data is complex and often influenced by many factors.