plot_cash_holdings

---

function backtide.analysis.cash_holdings.plot_cash_holdings(runs, title=None, legend="upper left", figsize=(900, 600), filename=None, display=True)[source]

Create a cash-holdings-over-time chart for one or more strategy runs.

For multi-currency strategies, one line is drawn per (strategy, currency) pair.

Parameters

runs : RunResult | list[RunResult] The per-strategy results to plot. title : str | dict | None, default=None Title for the plot. If None, no title is shown. If str, text for the title. If dict, title configuration. legend : str | dict | None, default="upper left" Legend for the plot. See the user guide for an extended description of the choices. If None: No legend is shown. If str: Position to display the legend. If dict: Legend configuration. figsize : tuple[int, int], default=(900, 600) Figure's size in pixels, format as (x, y). filename : str | Path | None, default=None Save the plot using this name. The type of the file depends on the provided name (.html, .png, .pdf, etc...). If filename has no file type, the plot is saved as .html. If None, the plot isn't saved. display : bool | None, default=True Whether to render the plot. If None, it returns the figure.

Returns

Figure | None The Plotly figure object. Only returned if display=None.

See Also

plot_mae_mfe

Plot Maximum Adverse Excursion vs Maximum Favourable Excursion per trade.

plot_price

Create a price line chart.

plot_rolling_sharpe

Create a rolling Sharpe-ratio chart for one or more strategy runs.

Example

>>> from backtide.analysis import plot_cash_holdings
>>> from backtide.storage import query_experiments, query_strategy_runs

>>> exp = query_experiments().iloc[0]
>>> runs = query_strategy_runs(exp.id)
>>> plot_cash_holdings(runs)