## Goal Identify simple but meaningful metrics for analyzing exchange-rate data. ## Research questions - What simple metrics are useful for FX time series? - Which metrics are realistic for a beginner-friendly Python project? - What can be calculated from daily exchange rates? - Which metrics are visually useful in charts? ## Candidate metrics - Daily percentage change - Absolute change over time - Rolling average - Min/max rate in selected period - Volatility approximation using standard deviation - Strongest and weakest currency movement in a sample ## Deliverable Create `docs/fx-analysis-research.md`. ## Acceptance criteria - [ ] 4–6 simple metrics are listed - [ ] Each metric has a short explanation - [ ] Each metric has a possible chart idea - [ ] One metric is selected for first implementation - [ ] Research stays practical and project-oriented > [!NOTE] > Type: Research > Priority: Should > Area: Data Analysis
Goal
Identify simple but meaningful metrics for analyzing exchange-rate data.
Research questions
Candidate metrics
Deliverable
Create
docs/fx-analysis-research.md.Acceptance criteria
Note
Type: Research
Priority: Should
Area: Data Analysis