2024-04-17 Tanzanian Shilling News
2024-04-16
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 of Exchange Rates
Based on the given data, the exchange rates (TZS) generally show a stable trend over the time period shown. For most of the time, the rate remains consistent at 0.00053. However, there are instances around the timestamps "2024-04-16 01:40:02" and "2024-04-16 08:40:02" where the rate slightly increases to 0.00054. This increase, although minor, represents the highest rate in the given data set. It's important to mention that these slight variations are not maintained for a significant time period and the exchange rate returns to 0.00053 soon after.
Seasonality or Recurring Patterns
Upon reviewing the data, there doesn't appear to be any clear seasonality or recurring patterns. The instances where the rate swings to 0.00054 occur at different times and do not show a recurring pattern based on the time of the day or specific time intervals. It is also worth noting that the timestamp for this dataset seems to be in hours-minutes-seconds format which could limit our ability to detect any seasonal or recurring pattern in this exchange rate data on a broader time scale such as monthly or yearly.
Outliers in the Data
The data does not seem to have significant outliers. The exchange rate is generally stable at 0.00053, with only very brief periods where it rises to 0.00054. These instances could be considered as slight deviations rather than significant outliers. The exchange rate does not show any drastic or unexpected variation that could be termed as an outlier in the given context.
By maintaining a narrow range between 0.00053 to 0.00054, the time series data doesn't showcase any abrupt spikes or drops. This limited variation implies that the data is relatively smooth without any substantial fluctuations or outliers.
Note
For a more detailed and accurate analysis, it is important to consider external factors like market opening/closing hours, weekends/holidays, and the release of key financial news and reports. However, as per the request, these factors were excluded in this given analysis.