2024-05-15 Pa Anga News
2024-05-14
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
From the given dataset, a preliminary visual analysis would be required to understand the overall trend. Unfortunately, it's impossible to provide visualization in this context, but I would suggest plotting the data using a line graph to observe the general direction of the trend.
The trend can be classified into three categories: upward, downward, or sideways (stable). Upward means the exchange rates generally increase over time and downward means they generally decrease. Sideways or stable means the rates don't show any dramatic increase or decrease but fluctuate around a consistent value.
Seasonality and Recurring Patterns
Understanding seasonality involves evaluating consistent patterns or cycles that repeat over the defined period. This could be hourly, daily, weekly, or annually depending on the data availability and business context.
In the given dataset, because timestamps are on an hourly basis within a single day, we could observe intraday patterns. Intraday patterns could reveal if exchange rates consistently rise, fall or remain stable during specific hours of the day. Understanding these patterns can help in effective decision making.
Identifying Outliers
Outliers are data points that are significantly different from others. They might be caused by volatility in the market, errors in data collection, or other unforeseen factors.
In this context, outliers could be times when the exchange rate dramatically increased or decreased compared to its general trend. Identifying these outliers helps to understand significant events or errors. Various statistical methods including Z-score, IQR method, or visualization methods like box plots can be used to identify outliers.
Remember, while analyzing financial data, outliers are not necessarily 'bad' or 'good', but they represent significant events that are worth understanding.
Note: This is a basic general analysis of the provided information. The specifics may vary based on the actual visualization and deeper analysis, and may require more complex statistical techniques.
