2024-05-06 Tanzanian Shilling 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
Based on the dataset provided, the exchange rates for TZS (Tanzanian Shilling) have been relatively stable throughout the period shown. The value has consistently remained at 0.00053, with a minor increase to 0.00054 on two instances: 2024-04-15 22:00:02 and 2024-04-17 02:00:02. However, these increases were not sustained and the exchange rate quickly returned to its consistent rate of 0.00053.
Seasonality or recurring patterns
After analyzing the data, it appears that there is no noticeable seasonality or recurring patterns in the exchange rates for TZS. The values remain consistent almost every day at every timestamp, and the minor fluctuation that has occurred does not appear to follow any discernible pattern.
Identifying any outliers
The data provided contains minimal outliers. As noted earlier, there were two instances where the exchange rate increased to 0.00054 from the usual 0.00053. These instances could be considered outliers as they deviate from the regular price. However, they are not significantly different from the common rate and did not persist for a long duration, indicating that these may have been caused by minor short-term fluctuations in the currency market.
Impact of External Factors
The data does not present any variations that would suggest external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports impacting the exchange rates. However, it is worth noting that without information on such events in the dataset, a comprehensive analysis on the impact of these factors cannot be performed.
Conclusion
Overall, the TZS exchange rate appears to be stable, displaying no noticeable patterns, seasonality, or significant outliers. While various external factors can influence exchange rates, their impact is not discernible from the given dataset.