Reporting (fynance.plot)

Composable matplotlib figures and a one-call tearsheet performance report. Each plot returns an Axes/Figure and never calls show — usable headless, in a notebook, or embedded in an app.

tearsheet(result[, period, figsize, base, ...])	Build a full performance report figure.
tearsheet_text(result[, period])	Plain-text performance summary (for notebooks / CLI).
plot_equity(result[, ax, base, logy])	Plot an equity curve.
plot_drawdown(result[, ax])	Plot the underwater drawdown curve.
plot_returns_hist(result[, bins, ax])	Histogram of per-step returns.
plot_rolling_sharpe(result[, window, ax])	Rolling Sharpe ratio of the equity curve.
plot_contribution(asset_returns[, index, ax])	Plot the cumulative per-asset gross contribution of a book.
plot_turnover(positions[, index, ax])	Plot the per-asset turnover |Δ position| of a book.
plot_cost_decomposition(cost_components[, ...])	Stack the cumulative cost components as a share of capital.
plot_exposure(W[, ax])	Plot the book's gross and net exposure over time.

Factor tear-sheet

Panels for the factor-evaluation metrics in fynance.metrics.factor, plus a one-call factor_tearsheet.

plot_quantile_returns(result[, ax])	Plot the cumulative compounded return of each factor quantile.
plot_ic_series(ic[, w_smooth, ax])	Plot a rolling Information Coefficient with a smoothed overlay.
plot_ic_decay(decay, horizons[, ax])	Bar chart of the Information Coefficient across forward horizons.
factor_tearsheet(factor, prices[, ...])	Build a full Alphalens-style factor tear-sheet figure.