Spike in TJS Exchange Rate Witnesses Unforeseen Shifts
2024-04-30
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
Upon initial inspection, the exchange rates show minor fluctuations but appear to trend upwards overall. The TJS exchange rate starts at around 0.12521 and ends at 0.12536, indicating a slight but steady increase. This overall increase suggests that the TJS might be appreciating during the period displayed in the dataset.
Seasonality and Recurring Patterns
Regarding seasonality, there are no clear patterns that emerge based on the daily timestamps provided. With the data available, we cannot determine intraday seasonality or the 'opening/closing hours' effect due to timestamps not being evenly distributed within a 24-hour trading cycle. Therefore, it would be needed to have additional data, such as hourly data, to discern more nuanced patterns.
Outliers and Key Observations
Upon analyzing the data, no significant outliers were identified. The rates remained relatively similar over the entire period, with fluctuations not exceeding a certain threshold. The highest value recorded was around 0.12616, and the lowest was around 0.12521 - a rather narrow range indicating minor volatility. This consistency may suggest a stable market condition. However, to have a solid understanding of the presence of outliers or any abrupt fluctuations, more advanced statistical analyses, like Z-scores or the Interquartile range, would be beneficial.
Note
It's important to reiterate that this analysis is basic due to the constraint we had of not incorporating specific events like market opening/closing hours, weekends/holidays, or release of key financial news and reports. For a more sophisticated understanding, it would be necessary to consider these factors since forex markets are significantly influenced by such variables. Furthermore, it's essential that the forecasting isn't part of this analysis and thus, the future trend is not predicted using this data.