2024-05-09 Tanzanian Shilling News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Introduction
Here is a comprehensive analysis of the time-series data, which represents the variation in exchange rates (TZS) at different times. In this analysis, we observe the overall trend, seasonal variation, and outliers in the provided data.
Trend Analysis
Upon reviewing the dataset, it can be seen that the rates have remained essentially constant for all the time stamps provided. Throughout the given period, the exchange rate of TZS was 0.00053 without change. At no particular point did the rate increase or decrease; it maintained a steady state.
Seasonality Analysis
In terms of seasonality, given that the exchange rate did not fluctuate and remained constant for the timeframe provided, we can't draw a conclusion about any recurring or seasonal pattern. A seasonal pattern would typically show repetitive and predictable movements around the trend line, but such movements are absent in the data set.
Outliers Analysis
Regarding the outliers or instances where the rate might differ significantly from what one would expect based on a trend or seasonality, no such instances occur in this dataset. The value 0.00053 stayed the same, leaving no room for any unexpected deviation or outlier in the data since there weren’t any fluctuations in the rates at all.
Summary
The dataset provided does not show any changes in TZS exchange rates over time. It remained constant at 0.00053, showing no trend, seasonality, or outliers within the timeframe provided. For a more dynamic analysis, a dataset with more significant fluctuation or change over time would be preferable. This stable trend implies a static market with no economic influence or variation. But please note, this analysis assumes that there are no external economic or market factors affecting the rate.