2024-04-19 Brazilian Real News
2024-04-18
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
On analyzing the provided time series data, it can be noted that the exchange rates (BRL) seem to have quite a bit of fluctuation throughout the time period on display. However, it can be observed that there is no consistent upward or downward trend with the exchange rates; they appear to have remained generally stable over time. Some periods are subject to larger swings, other periods experience smaller ones, but there is no clear progressive rise or fall in the values.
Pattern and Seasonality
As for seasonality and recurring patterns, no obvious seasonal patterns could be identified from the dataset at a glance. While there are rises and falls, these do not appear to be consistently cyclic in a way that would indicate a specific seasonal trend.
Outliers Analysis
Upon inspection of the data, there are a few instances where the exchange rate changes noticeably within a short period of time. These outliers do not fit into any discernible pattern or seasonality, nor do they systematically influence the general trend:
- Around the timestamp 2024-04-18 07:15:03, the exchange rate drops significantly to 0.26212.
- Close to the timestamp 2024-04-18 10:25:02, the rate again falls noticeably to 0.26139.
These significant changes could be due to a myriad of reasons, such as internal fluctuations in the exchange rate market, or external factors, which were outside the scope of this analysis according to the task instructions.
Final Remarks
It's worth noting that financial time series data, such as exchange rates, are highly stochastic and notoriously difficult to model due to the wide range of factors and potential disruptions that can affect them. This analysis only scratches the surface and provides a general sense of the data's pattern, trend, and outliers."
