Plot backtrader's result using plotly instead of the default matplotlib
This is an experimental package, and it is done by replacing original matplotlib method calls.
$ pip install backtrader-plotly==1.5.0
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Support for Multiple Strategies Plotting (Added from 1.5.0.dev1)
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Support for Filled Area Plotting and Toggling (Added from 1.4.0)
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New Scheme Arguments (Added from 1.3.0)
Additional scheme arguments are added to provide extra control
Name of Argument Default Value Description decimal_places 5 It is used to control the number of decimal places of price shown on the plot. For instance, forex price usually consists of 5 decimal places. max_legend_text_width 16 It is used to limit the legend text width to prevent it from occupying the page.
# import the package after installation
from backtrader_plotly.plotter import BacktraderPlotly
from backtrader_plotly.scheme import PlotScheme
import plotly.io
# do whatever you want with `backtrader`
import backtrader as bt
# for instance
cerebro = bt.Cerebro()
# add strategies
cerebro.addstrategy(IchimokuStrategy)
cerebro.addstrategy(SMACrossStrategy)
# after adding data and strategy
cerebro.run()
# define plot scheme with new additional scheme arguments
scheme = PlotScheme(decimal_places=5, max_legend_text_width=16)
figs = cerebro.plot(BacktraderPlotly(show=False, scheme=scheme))
# directly manipulate object using methods provided by `plotly`
for i, each_run in enumerate(figs):
for j, each_strategy_fig in enumerate(each_run):
# open plot in browser
each_strategy_fig.show()
# save the html of the plot to a variable
html = plotly.io.to_html(each_strategy_fig, full_html=False)
# write html to disk
plotly.io.write_html(each_strategy_fig, f'{i}_{j}.html', full_html=True)