abaquant.visualization.market

Import path: abaquant.visualization.market

Domain: Matplotlib and Plotly visualization helpers with shared themes.

Purpose

Theme-aware market-price and financial-statement visualizations.

When to use it

Use these functions to inspect model behavior, portfolio allocations, market surfaces, credit assessments, calibrations, and dashboard outputs.

Public objects

  • function: visualize_price_history — Visualize one or more normalized market-price columns using one theme.

  • function: visualize_financial_snapshot — Visualize the latest numeric column of one normalized statement table.

Detailed reference

Theme-aware market-price and financial-statement visualizations.

abaquant.visualization.market.visualize_price_history(price_history, *, backend=None, theme=None, save_path=None, filename=None)

Visualize one or more normalized market-price columns using one theme.

Parameters:

  • price_history (DataFrame)

  • backend (Literal['matplotlib', 'plotly'] | None)

  • theme (VisualizationTheme | None)

  • save_path (str | Path | None)

  • filename (str | None)

abaquant.visualization.market.visualize_financial_snapshot(snapshot, *, statement='balance_sheet', backend=None, theme=None, save_path=None, filename=None)

Visualize the latest numeric column of one normalized statement table.

Parameters:

  • snapshot (object)

  • statement (str)

  • backend (Literal['matplotlib', 'plotly'] | None)

  • theme (VisualizationTheme | None)

  • save_path (str | Path | None)

  • filename (str | None)