2024-05-09 Guinea Franc 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
Sure, from the data provided, it looks like the exchange rate data is indeed time series data. Here's an analysis of the dataset you've provided which answers your goals:1. Overall Trend Analysis
From the given timestamps and the associated GNF exchange rates, it is evident that the exchange rate has remained constant at 0.00016 throughout. This suggests there wasn't any significant increase or decrease observed in the exchange rates for the timeline mentioned in the dataset. The exchange rates remained pretty stable throughout this period, indicating a steady trend in the financial market in this particular context.
2. Seasonality and Recurring Patterns
Seasonality typically refers to regular and predictable changes that recur every calendar year. In terms of any seasonality or recurring patterns, since the exchange rate is constant throughout the data set, we see no seasonality. We would require a dataset that shows fluctuation in exchange rates to be able to identify any seasonality or recurring patterns.
3. Analysis of Outliers
As the given exchange rate remained constant throughout the provided timestamps, it's clear that there are no observed outliers. An outlier would be a significant deviation from the common exchange rate - since there is no deviation in our data, there are no outliers to report. In statistical terms, an outlier can be considered an observation that lies an abnormal distance from other values in a random sample from a population. This dataset showed a constant pattern and no abnormal distance from any value was observed during the specified time series.
In conclusion, this time series dataset indicates a stable financial market with constant exchange rates without any significant changes, seasonality, or outliers. For a more informative analysis, a more volatile dataset would help in identifying specific trends, recurring patterns, and outliers.