Explore FX data visualization with pandas and matplotlib

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Goal

Create the first meaningful FX data visualization using pandas and matplotlib.

Why

The project roadmap includes visualization and historical exchange-rate analysis. This ticket creates the first small step toward that: load FX data, process it and show a useful chart.

Scope

• Collect or mock a small FX time series dataset
• Load the data with pandas
• Calculate at least one simple derived value, e.g.:
  • daily percentage change
  • absolute rate difference
  • rolling average
  • strongest/weakest movement in a small time window
• Plot one simple chart with matplotlib
• Save or display the chart

Acceptance criteria

• FX data can be loaded into a pandas DataFrame
• At least one simple transformation is performed
• At least one chart is generated with matplotlib
• The chart has title, axis labels and readable values
• Short note explains what the chart shows

Note

Type: Research / Feature
Priority: Should
Area: Data Analysis / Visualization