backtrader.bokeh.app module

Bokeh Application Core Classes

Provides integration between Backtrader and Bokeh

class backtrader.bokeh.app.FigurePage

Bases: object

Figure Page

Manages a group of related charts and data sources.

__init__(strategy=None)

Initialize a FigurePage.

Parameters:

strategy – Strategy instance associated with this figure page.

set_cds_columns_from_df(df)

Set CDS columns from DataFrame.

Parameters:

df – pandas DataFrame

get_cds_streamdata_from_df(df)

Get stream data from DataFrame.

Parameters:

df – pandas DataFrame

Returns:

Stream data dictionary

Return type:

dict

get_cds_patchdata_from_series(series)

Get patch data from Series.

Parameters:

series – pandas Series

Returns:

(patch_data, stream_data)

Return type:

tuple

class backtrader.bokeh.app.Figure

Bases: object

Single Figure

Wraps a Bokeh figure.

__init__(scheme=None)

Initialize a Figure.

Parameters:

scheme – Theme/scheme instance for styling the figure.

get_cds_streamdata_from_df(df)

Get stream data from DataFrame.

get_cds_patchdata_from_series(series, fill_nan=None)

Get patch data from Series.

fill_nan()

Return columns that need NaN filling.

class backtrader.bokeh.app.BacktraderBokeh

Bases: object

Backtrader Bokeh Application

Provides the following features: - Create and manage figure pages - Generate Bokeh models - Data processing and formatting

Parameters:

• style – Chart style, ‘bar’ or ‘candle’

• scheme – Theme instance

• use_default_tabs – Whether to use default tabs

• filter – Data filter configuration

Example

app = BacktraderBokeh(style=’candle’, scheme=Blackly()) figid, figurepage = app.create_figurepage(strategy) panels = app.generate_model_panels()

params = (('style', 'bar'), ('scheme', None), ('use_default_tabs', True), ('filter', None))

__init__(**kwargs)

Initialize BacktraderBokeh application.

Parameters:

**kwargs – Keyword arguments for configuration: - style: Chart style (‘bar’ or ‘candle’) - scheme: Theme instance for styling - use_default_tabs: Whether to use default tabs - filter: Data filter configuration

create_figurepage(strategy, filldata=True)

Create a figure page.

Parameters:

• strategy – Strategy instance

• filldata – Whether to fill data

Returns:

(figid, figurepage)

Return type:

tuple

get_figurepage(figid)

Get figure page.

Parameters:

figid – Figure page ID

Returns:

FigurePage instance or None

get_last_idx(figid)

Get last data index of figure page.

Parameters:

figid – Figure page ID

Returns:

Last index

Return type:

int

generate_data(figid=None, start=None, end=None, back=None, preserveidx=False, fill_gaps=False)

Generate chart data.

Parameters:

• figid – Figure page ID

• start – Start index

• end – End index

• back – Number of bars to look back

• preserveidx – Whether to preserve original index

• fill_gaps – Whether to fill gaps

Returns:

pandas.DataFrame

update_figurepage(filter=None)

Update figure page.

Parameters:

filter – Filter configuration

generate_model_panels()

Generate model panels.

Returns:

Panel list

Return type:

list

plot(strategy=None, show=True, filename=None)

Bindto strategy and generate static chart.

Parameters:

• strategy – Strategy instance

• show – Whether to show chart

• filename – Save filename

Returns:

Bokeh model or None