def _configure_plotting(self, strategy: bt.Strategy):
datas, inds, obs = strategy.datas, strategy.getindicators(
), strategy.getobservers()
for objs in [datas, inds, obs]:
for idx, obj in enumerate(objs):
self._configure_plotobject(obj, idx, strategy)
def build_strategy_data(self,
strategy: bt.Strategy,
start: Optional[datetime.datetime] = None,
end: Optional[datetime.datetime] = None,
num_back: Optional[int] = None,
startidx: int = 0):
"""startidx: index number to write into the dataframe for the index column"""
strategydf = pd.DataFrame()
start, end = Bokeh._get_start_end(strategy, start, end)
strat_clk: array[float] = strategy.lines.datetime.plotrange(start, end)
# if patches occured then we see duplicate entries in the strategie clock -> clean them
strat_clk = np.unique(strat_clk)
if num_back is None:
num_back = len(strat_clk)
strat_clk = strat_clk[-num_back:]
# we use timezone of first data. we might see duplicated timestamps here
dtline = [bt.num2date(x, strategy.datas[0]._tz) for x in strat_clk]
# add an index line to use as x-axis (instead of datetime axis) to avoid datetime gaps (e.g. weekends)
indices = list(range(startidx, startidx + len(dtline)))
strategydf['index'] = indices
strategydf['datetime'] = dtline
for data in strategy.datas:
source_id = FigureEnvelope._source_id(data)
df_data = convert_to_pandas(strat_clk, data, start, end, source_id)
strategydf = strategydf.join(df_data)
df_colors = FigureEnvelope.build_color_lines(
df_data,
self.p.scheme,
col_open=source_id + 'open',
col_close=source_id + 'close',
col_prefix=source_id)
strategydf = strategydf.join(df_colors)
for obj in itertools.chain(strategy.getindicators(),
strategy.getobservers()):
for lineidx in range(obj.size()):
line = obj.lines[lineidx]
source_id = FigureEnvelope._source_id(line)
dataline = line.plotrange(start, end)
line_clk = get_clock_line(obj).plotrange(start, end)
dataline = convert_by_line_clock(dataline, line_clk, strat_clk)
strategydf[source_id] = dataline
# apply a proper index (should be identical to 'index' column)
if strategydf.shape[0] > 0:
strategydf.index = indices
return strategydf
def _blueprint_strategy(self,
strategy: bt.Strategy,
start=None,
end=None,
tradingdomain=None,
**kwargs) -> None:
if not strategy.datas:
return
self._cur_figurepage.analyzers += [
a for _, a in strategy.analyzers.getitems()
]
data_graph, volume_graph = self._build_graph(strategy.datas,
strategy.getindicators(),
strategy.getobservers(),
tradingdomain)
start, end = get_strategy_start_end(strategy, start, end)
# reset hover container to not mix hovers with other strategies
hoverc = HoverContainer(
hover_tooltip_config=self.p.scheme.hover_tooltip_config,
is_multidata=len(strategy.datas) > 1)
figure_envs: List[Figure] = []
for master, slaves in data_graph.items():
plotorder = getattr(master.plotinfo, 'plotorder', 0)
figureenv = Figure(strategy, self._cur_figurepage.cds, hoverc,
start, end, self.p.scheme, master, plotorder)
figureenv.plot(master)
for s in slaves:
figureenv.plot(s)
figure_envs.append(figureenv)
for f in figure_envs:
f.bfigure.legend.click_policy = self.p.scheme.legend_click
f.bfigure.legend.location = self.p.scheme.legend_location
f.bfigure.legend.background_fill_color = self.p.scheme.legend_background_color
f.bfigure.legend.label_text_color = self.p.scheme.legend_text_color
f.bfigure.legend.orientation = self.p.scheme.legend_orientation
# link axis
for i in range(1, len(figure_envs)):
figure_envs[i].bfigure.x_range = figure_envs[0].bfigure.x_range
hoverc.apply_hovertips(figure_envs)
self._cur_figurepage.figures += figure_envs
# volume graphs
for v in volume_graph:
plotorder = getattr(v.plotinfo, 'plotorder', 0)
figureenv = Figure(strategy, self._cur_figurepage.cds, hoverc,
start, end, self.p.scheme, v, plotorder)
figureenv.plot_volume(v)
self._cur_figurepage.figures.append(figureenv)
def list_tradingdomains(self, strategy: bt.Strategy):
data_graph, volume_graph = self._build_graph(strategy.datas,
strategy.getindicators(),
strategy.getobservers())
lgs = list()
for master in itertools.chain(data_graph.keys(), volume_graph):
lg = FigureEnvelope._resolve_tradingdomain(master)
if isinstance(lg, str) and lg not in lgs:
lgs.append(lg)
return lgs
def list_tradingdomains(self, strategy: bt.Strategy):
"""Return a list of all trading domains to be found in a strategy."""
data_graph, volume_graph = self._build_graph(strategy.datas,
strategy.getindicators(),
strategy.getobservers())
lgs = list()
for master in itertools.chain(data_graph.keys(), volume_graph):
lg = get_tradingdomain(master)
if isinstance(lg, str) and lg not in lgs:
lgs.append(lg)
return lgs
def find_by_plotid(strategy: bt.Strategy, plotid):
objs = itertools.chain(strategy.datas, strategy.getindicators(), strategy.getobservers())
founds = []
for obj in objs:
if getattr(obj.plotinfo, 'plotid', None) == plotid:
founds.append(obj)
num_results = len(founds)
if num_results == 0:
return None
elif num_results == 1:
return founds[0]
else:
raise RuntimeError(f'Found multiple objects with plotid "{plotid}"')
def build_master_clock(strategy: bt.Strategy,
start: Optional[datetime.datetime] = None, end: Optional[datetime.datetime] = None,
):
"""Build the master clock which is a clock line that is basically a merged line of all available clocks"""
master_clock = []
for obj in itertools.chain(strategy.datas, strategy.getindicators(), strategy.getobservers()):
line_clk = get_clock_line(obj).plotrange(start, end)
master_clock += line_clk
# remove duplicates
master_clock = list(dict.fromkeys(master_clock))
master_clock.sort()
return master_clock
def _get_strategy(strategy: bt.Strategy) -> str:
md = '\n# Strategy\n'
md += f'## {strategy.__class__.__name__}\n'
md += _get_parameter_table(strategy.params)
md += '### Indicators:\n\n'
for i in strategy.getindicators():
md += f'{i.__class__.__name__}\n\n'
md += _get_parameter_table(i.params)
md += 'Source Code:\n'
md += f'\n```\n{inspect.getsource(strategy.__class__)}\n```\n\n'
return md
def _get_strategy(strategy: bt.Strategy) -> str:
md = f'\n# Strategy: {strategy.__class__.__name__}\n'
md += _get_parameter_table(strategy.params)
md += '## Indicators:\n\n'
for i in strategy.getindicators():
md += f'### {i.__class__.__name__} @ {indicator2fullid(i)}\n\n'
# md += f'Data: \n'
md += _get_parameter_table(i.params)
md += 'Source Code:\n'
md += ''
return md
def _get_strategy(strategy: bt.Strategy, include_src=True) -> str:
md = f'\n# Strategy: {strategy.__class__.__name__}\n'
md += _get_parameter_table(strategy.params)
md += '## Indicators:\n\n'
for i in strategy.getindicators():
md += f'### {labelizer.label(i)}\n\n'
md += _get_parameter_table(i.params)
if include_src:
md += 'Source Code:\n'
md += f'\n```\n{inspect.getsource(strategy.__class__)}\n```\n\n'
return md
def _blueprint_strategy(self,
strategy: bt.Strategy,
start=None,
end=None,
tradingdomain=None,
**kwargs) -> None:
if not strategy.datas:
return
self._cur_figurepage.analyzers += [
a for _, a in strategy.analyzers.getitems()
]
data_graph, volume_graph = self._build_graph(strategy.datas,
strategy.getindicators(),
strategy.getobservers(),
tradingdomain)
start, end = Bokeh._get_start_end(strategy, start, end)
# reset hover container to not mix hovers with other strategies
hoverc = HoverContainer(
hover_tooltip_config=self.p.scheme.hover_tooltip_config,
is_multidata=len(strategy.datas) > 1)
strat_figures = []
for master, slaves in data_graph.items():
plotorder = getattr(master.plotinfo, 'plotorder', 0)
figure = FigureEnvelope(strategy, self._cur_figurepage.cds, hoverc,
start, end, self.p.scheme, master,
plotorder,
len(strategy.datas) > 1)
figure.plot(master, None)
for s in slaves:
figure.plot(s, master)
strat_figures.append(figure)
for f in strat_figures:
f.figure.legend.click_policy = self.p.scheme.legend_click
f.figure.legend.location = self.p.scheme.legend_location
f.figure.legend.background_fill_color = self.p.scheme.legend_background_color
f.figure.legend.label_text_color = self.p.scheme.legend_text_color
f.figure.legend.orientation = self.p.scheme.legend_orientation
# link axis
for i in range(1, len(strat_figures)):
strat_figures[i].figure.x_range = strat_figures[0].figure.x_range
# configure xaxis visibility
if self.p.scheme.xaxis_pos == "bottom":
for i, f in enumerate(strat_figures):
f.figure.xaxis.visible = False if i <= len(
strat_figures) else True
hoverc.apply_hovertips(strat_figures)
self._cur_figurepage.figure_envs += strat_figures
# volume graphs
for v in volume_graph:
plotorder = getattr(v.plotinfo, 'plotorder', 0)
figure = FigureEnvelope(strategy,
self._cur_figurepage.cds,
hoverc,
start,
end,
self.p.scheme,
v,
plotorder,
is_multidata=len(strategy.datas) > 1)
figure.plot_volume(v)
self._cur_figurepage.figure_envs.append(figure)
def _blueprint_strategy(self,
strategy: bt.Strategy,
start=None,
end=None,
**kwargs):
if not strategy.datas:
return
if not len(strategy):
return
strat_figures = []
self._fp.analyzers = [a for _, a in strategy.analyzers.getitems()]
st_dtime = strategy.lines.datetime.plot()
if start is None:
start = 0
if end is None:
end = len(st_dtime)
if isinstance(start, datetime.date):
start = bisect.bisect_left(st_dtime, bt.date2num(start))
if isinstance(end, datetime.date):
end = bisect.bisect_right(st_dtime, bt.date2num(end))
if end < 0:
end = len(st_dtime) + 1 + end # -1 = len() -2 = len() - 1
# TODO: using a pandas.DataFrame is desired. On bokeh 0.12.13 this failed cause of this issue:
# https://github.com/bokeh/bokeh/issues/7400
strat_clk: array[float] = strategy.lines.datetime.plotrange(start, end)
if self._fp.cds is None:
# we use timezone of first data
dtline = [bt.num2date(x, strategy.datas[0]._tz) for x in strat_clk]
# add an index line to use as x-axis (instead of datetime axis) to avoid datetime gaps (e.g. weekends)
indices = list(range(0, len(dtline)))
self._fp.cds = ColumnDataSource(
data=dict(datetime=dtline, index=indices))
self._build_graph(strategy.datas, strategy.getindicators(),
strategy.getobservers())
start, end = Bokeh._get_start_end(strategy, start, end)
# reset hover container to not mix hovers with other strategies
hoverc = HoverContainer()
for master, slaves in self._data_graph.items():
plotabove = getattr(master.plotinfo, 'plotabove', False)
bf = Figure(strategy, self._fp.cds, hoverc, start, end,
self.p.scheme, type(master), plotabove)
strat_figures.append(bf)
bf.plot(master, strat_clk, None)
for s in slaves:
bf.plot(s, strat_clk, master)
for v in self._volume_graphs:
bf = Figure(strategy, self._fp.cds, hoverc, start, end,
self.p.scheme)
bf.plot_volume(v, strat_clk, 1.0, start, end)
# apply legend click policy
for f in strat_figures:
f.figure.legend.click_policy = self.p.scheme.legend_click
for f in strat_figures:
f.figure.legend.background_fill_color = self.p.scheme.legend_background_color
f.figure.legend.label_text_color = self.p.scheme.legend_text_color
# link axis
for i in range(1, len(strat_figures)):
strat_figures[i].figure.x_range = strat_figures[0].figure.x_range
# configure xaxis visibility
if self.p.scheme.xaxis_pos == "bottom":
for i, f in enumerate(strat_figures):
f.figure.xaxis.visible = False if i <= len(
strat_figures) else True
hoverc.apply_hovertips(strat_figures)
self._fp.figures += strat_figures
def _blueprint_strategy(self,
strategy: bt.Strategy,
start=None,
end=None,
**kwargs):
if not strategy.datas:
return
if not len(strategy):
return
self._figurepage.analyzers += [
a for _, a in strategy.analyzers.getitems()
]
st_dtime = strategy.lines.datetime.plot()
if start is None:
start = 0
if end is None:
end = len(st_dtime)
if isinstance(start, datetime.date):
start = bisect.bisect_left(st_dtime, bt.date2num(start))
if isinstance(end, datetime.date):
end = bisect.bisect_right(st_dtime, bt.date2num(end))
if end < 0:
end = len(st_dtime) + 1 + end # -1 = len() -2 = len() - 1
strat_clk: array[float] = strategy.lines.datetime.plotrange(start, end)
if self._figurepage.cds is None:
# we use timezone of first data
dtline = [bt.num2date(x, strategy.datas[0]._tz) for x in strat_clk]
# add an index line to use as x-axis (instead of datetime axis) to avoid datetime gaps (e.g. weekends)
indices = list(range(0, len(dtline)))
self._figurepage.cds = ColumnDataSource(
data=dict(datetime=dtline, index=indices))
data_graph, volume_graph = self._build_graph(strategy.datas,
strategy.getindicators(),
strategy.getobservers())
start, end = Bokeh._get_start_end(strategy, start, end)
# reset hover container to not mix hovers with other strategies
hoverc = HoverContainer(
hover_tooltip_config=self.p.scheme.hover_tooltip_config,
is_multidata=len(strategy.datas) > 1)
strat_figures = []
for master, slaves in data_graph.items():
plotorder = getattr(master.plotinfo, 'plotorder', 0)
figure = Figure(strategy, self._figurepage.cds, hoverc, start, end,
self.p.scheme, master, plotorder,
len(strategy.datas) > 1)
figure.plot(master, strat_clk, None)
for s in slaves:
figure.plot(s, strat_clk, master)
strat_figures.append(figure)
for f in strat_figures:
f.figure.legend.click_policy = self.p.scheme.legend_click
f.figure.legend.location = self.p.scheme.legend_location
f.figure.legend.background_fill_color = self.p.scheme.legend_background_color
f.figure.legend.label_text_color = self.p.scheme.legend_text_color
f.figure.legend.orientation = self.p.scheme.legend_orientation
# link axis
for i in range(1, len(strat_figures)):
strat_figures[i].figure.x_range = strat_figures[0].figure.x_range
# configure xaxis visibility
if self.p.scheme.xaxis_pos == "bottom":
for i, f in enumerate(strat_figures):
f.figure.xaxis.visible = False if i <= len(
strat_figures) else True
hoverc.apply_hovertips(strat_figures)
self._figurepage.figures += strat_figures
# volume graphs
for v in volume_graph:
plotorder = getattr(v.plotinfo, 'plotorder', 0)
figure = Figure(strategy, self._figurepage.cds, hoverc, start, end,
self.p.scheme, v, plotorder,
len(strategy.datas) > 1)
figure.plot_volume(v, strat_clk, 1.0)
self._figurepage.figures.append(figure)
def _plot_strategy(self,
strategy: bt.Strategy,
start=None,
end=None,
**kwargs):
if not strategy.datas:
return
if not len(strategy):
return
strat_figures = []
# reset hover container to not mix hovers with other strategies
hoverc = HoverContainer()
for name, a in strategy.analyzers.getitems():
self._fp.analyzers.append((name, a, strategy, None))
# TODO: using a pandas.DataFrame is desired. On bokeh 0.12.13 this failed cause of this issue:
# https://github.com/bokeh/bokeh/issues/7400
if self._fp.cds is None:
# use datetime line of first data as master datetime. also convert it according to user provided tz
dtline = pandas.Series([
bt.num2date(x, strategy.datas[0]._tz)
for x in strategy.datas[0].lines.datetime.plotrange(
start, end)
],
name="DateTime")
self._fp.cds = ColumnDataSource(data={'datetime': dtline})
self._build_graph(strategy.datas, strategy.getindicators(),
strategy.getobservers())
start, end = Bokeh._get_start_end(strategy, start, end)
for master, slaves in self._data_graph.items():
plotabove = getattr(master.plotinfo, 'plotabove', False)
bf = Figure(strategy, self._fp.cds, hoverc, start, end,
self.p.scheme, type(master), plotabove)
strat_figures.append(bf)
bf.plot(master, None)
for s in slaves:
bf.plot(s, master)
for v in self._volume_graphs:
bf = Figure(strategy, self._fp.cds, hoverc, start, end,
self.p.scheme)
bf.plot_volume(v, 1.0, start, end)
# apply legend click policy
for f in strat_figures:
f.figure.legend.click_policy = self.p.scheme.legend_click
for f in strat_figures:
f.figure.legend.background_fill_color = self.p.scheme.legend_background_color
f.figure.legend.label_text_color = self.p.scheme.legend_text_color
# link axis
for i in range(1, len(strat_figures)):
strat_figures[i].figure.x_range = strat_figures[0].figure.x_range
# configure xaxis visibility
if self.p.scheme.xaxis_pos == "bottom":
for i, f in enumerate(strat_figures):
f.figure.xaxis.visible = False if i <= len(
strat_figures) else True
hoverc.apply_hovertips(strat_figures)
self._fp.figures += strat_figures
def build_strategy_data(self,
strategy: bt.Strategy,
start: Optional[datetime.datetime] = None,
end: Optional[datetime.datetime] = None,
num_back: Optional[int] = None,
startidx: int = 0):
"""startidx: index number to write into the dataframe for the index column"""
strategydf = pd.DataFrame()
master_clock = build_master_clock(strategy, start, end)
start, end = get_strategy_start_end(strategy, start, end)
if num_back is None:
num_back = len(master_clock)
master_clock = master_clock[-num_back:]
strategydf['master_clock'] = master_clock
# we use timezone of first data. we might see duplicated timestamps here
dtline = [bt.num2date(x, strategy.datas[0]._tz) for x in master_clock]
# add an index line to use as x-axis (instead of datetime axis) to avoid datetime gaps (e.g. weekends)
indices = list(range(startidx, startidx + len(dtline)))
strategydf['index'] = indices
strategydf['datetime'] = dtline
for data in strategy.datas:
source_id = get_source_id(data)
df_data = convert_to_pandas(master_clock, data, start, end,
source_id)
strategydf = strategydf.join(df_data)
df_colors = Figure.build_color_lines(df_data,
self.p.scheme,
col_open=source_id + 'open',
col_close=source_id + 'close',
col_prefix=source_id)
strategydf = strategydf.join(df_colors)
for obj in itertools.chain(strategy.getindicators(),
strategy.getobservers()):
for lineidx, line, source_id in get_lines(obj):
dataline = line.plotrange(start, end)
plottype = get_plottype(obj, lineidx)
line_clk = get_clock_line(obj).plotrange(start, end)
dataline = convert_to_master_clock(
dataline,
line_clk,
master_clock,
forward_fill=plottype == PlotType.LINE)
strategydf[source_id] = dataline
# now iterate again over indicators to calculate area plots (_fill_gt / _fill_lt)
for ind in strategy.getindicators():
for lineidx, line, source_id in get_lines(ind):
for fattr, _, y2, _, _, fop in get_ind_areas(ind, lineidx):
if fop is None:
continue # we only need to take care when operator is used
if isinstance(y2, int):
# scalar value
pass
elif isinstance(y2, str):
y2 = strategydf[y2]
else:
raise RuntimeError('Unexpected type')
dataline_pd = pd.Series(strategydf[source_id])
lineid = source_id + fattr
strategydf[lineid] = dataline_pd.where(
fop(dataline_pd, y2), y2).to_numpy()
# apply a proper index (should be identical to 'index' column)
if strategydf.shape[0] > 0:
strategydf.index = indices
return strategydf
