Research reporting options for ARGUS analytics

[BytecodeBrewer]

Goal

Research how ARGUS should generate analytics reports from market data, metrics and charts.

Why

ARGUS should not only display analytics in a dashboard, but also create reusable reports that summarize data, metrics and insights.

Before implementing reporting, the project should compare practical reporting options and decide what fits the current architecture.

Research questions

• What should an ARGUS report contain?
  • selected currency pair or asset
  • date range
  • data source
  • cumulative return
  • strongest / weakest movement
  • rolling volatility
  • charts
  • short interpretation notes
• Which report formats are useful?
  • Markdown
  • HTML
  • PDF
  • CSV/Excel export
  • Power BI connection later
• Which tools or frameworks fit best?
  • Markdown templates
  • Jinja2
  • pandas export
  • Plotly/NiceGUI export options
  • Power BI / external BI later
• Should reports be generated from live data, stored data or both?
• How could reports later connect to AI-assisted summaries?

Acceptance criteria

• Report content structure is proposed
• At least three report/export formats are compared
• Recommended first report format is selected
• Required data inputs are documented
• Relationship to NiceGUI and database/storage is explained
• Future Power BI or AI-summary options are discussed
• No production report implementation is required in this ticket

Note

Priority: Should