sigdet module¶
Module with SIGDET.
SIGDET class¶
SIGDET(
wrapper,
input_list,
input_mapper,
in_output_list,
output_list,
param_list,
mapper_list,
short_name,
**kwargs
)
Robust peak detection algorithm (using z-scores).
See https://stackoverflow.com/a/22640362
Superclasses
- Analyzable
- AttrResolverMixin
- Cacheable
- Chainable
- Comparable
- Configured
- ExtPandasIndexer
- HasSettings
- IndexApplier
- IndexingBase
- IndicatorBase
- Itemable
- PandasIndexer
- Paramable
- Pickleable
- PlotsBuilderMixin
- Prettified
- StatsBuilderMixin
- Wrapping
vectorbtpro.indicators.custom.sigdet.ParamIndexer
Inherited members
- AttrResolverMixin.deep_getattr()
- AttrResolverMixin.post_resolve_attr()
- AttrResolverMixin.pre_resolve_attr()
- AttrResolverMixin.resolve_attr()
- AttrResolverMixin.resolve_shortcut_attr()
- Cacheable.get_ca_setup()
- Chainable.pipe()
- Configured.copy()
- Configured.equals()
- Configured.get_writeable_attrs()
- Configured.prettify()
- Configured.replace()
- Configured.resolve_merge_kwargs()
- Configured.update_config()
- HasSettings.get_path_setting()
- HasSettings.get_path_settings()
- HasSettings.get_setting()
- HasSettings.get_settings()
- HasSettings.has_path_setting()
- HasSettings.has_path_settings()
- HasSettings.has_setting()
- HasSettings.has_settings()
- HasSettings.reset_settings()
- HasSettings.resolve_setting()
- HasSettings.resolve_settings_paths()
- HasSettings.set_settings()
- IndexApplier.add_levels()
- IndexApplier.drop_duplicate_levels()
- IndexApplier.drop_levels()
- IndexApplier.drop_redundant_levels()
- IndexApplier.select_levels()
- IndexingBase.indexing_setter_func()
- IndicatorBase.cls_dir
- IndicatorBase.column_only_select
- IndicatorBase.column_stack()
- IndicatorBase.config
- IndicatorBase.dropna()
- IndicatorBase.group_select
- IndicatorBase.iloc
- IndicatorBase.in_output_names
- IndicatorBase.indexing_func()
- IndicatorBase.indexing_kwargs
- IndicatorBase.input_names
- IndicatorBase.items()
- IndicatorBase.lazy_output_names
- IndicatorBase.level_names
- IndicatorBase.loc
- IndicatorBase.main_output
- IndicatorBase.output_flags
- IndicatorBase.output_names
- IndicatorBase.param_names
- IndicatorBase.plots_defaults
- IndicatorBase.range_only_select
- IndicatorBase.rec_state
- IndicatorBase.rename()
- IndicatorBase.rename_levels()
- IndicatorBase.row_stack()
- IndicatorBase.run_pipeline()
- IndicatorBase.self_aliases
- IndicatorBase.short_name
- IndicatorBase.stats_defaults
- IndicatorBase.to_dict()
- IndicatorBase.to_frame()
- IndicatorBase.unpack()
- IndicatorBase.wrapper
- IndicatorBase.xloc
- PandasIndexer.xs()
- Pickleable.decode_config()
- Pickleable.decode_config_node()
- Pickleable.dumps()
- Pickleable.encode_config()
- Pickleable.encode_config_node()
- Pickleable.file_exists()
- Pickleable.getsize()
- Pickleable.load()
- Pickleable.loads()
- Pickleable.modify_state()
- Pickleable.resolve_file_path()
- Pickleable.save()
- PlotsBuilderMixin.build_subplots_doc()
- PlotsBuilderMixin.override_subplots_doc()
- PlotsBuilderMixin.plots()
- StatsBuilderMixin.build_metrics_doc()
- StatsBuilderMixin.override_metrics_doc()
- StatsBuilderMixin.stats()
- Wrapping.apply_to_index()
- Wrapping.as_param()
- Wrapping.regroup()
- Wrapping.resample()
- Wrapping.resolve_column_stack_kwargs()
- Wrapping.resolve_row_stack_kwargs()
- Wrapping.resolve_self()
- Wrapping.resolve_stack_kwargs()
- Wrapping.select_col()
- Wrapping.select_col_from_obj()
- Wrapping.split()
- Wrapping.split_apply()
Subclasses
vectorbtpro.indicators.custom.sigdet._SIGDET
apply_func method¶
SIGDET.apply_func(
close,
lag=14,
factor=1.0,
influence=1.0,
up_factor=None,
down_factor=None,
mean_influence=None,
std_influence=None
)
2-dim version of signal_detection_1d_nb.
cache_func class variable¶
close property¶
Input array.
close_above method¶
Return True for each element where close is above other.
See combine_objs().
close_below method¶
Return True for each element where close is below other.
See combine_objs().
close_crossed_above method¶
Return True for each element where close is crossed_above other.
See combine_objs().
close_crossed_below method¶
Return True for each element where close is crossed_below other.
See combine_objs().
close_equal method¶
Return True for each element where close is equal other.
See combine_objs().
close_stats method¶
Stats of close as generic.
custom_func method¶
IndicatorFactory.with_apply_func.<locals>.custom_func(
input_tuple,
in_output_tuple,
param_tuple,
*_args,
input_shape=None,
per_column=False,
split_columns=False,
skipna=False,
return_cache=False,
use_cache=True,
jitted_loop=False,
jitted_warmup=False,
param_index=None,
final_index=None,
single_comb=False,
execute_kwargs=None,
**_kwargs
)
Custom function that forwards inputs and parameters to apply_func.
down_factor_list property¶
List of down_factor values.
factor_list property¶
List of factor values.
influence_list property¶
List of influence values.
lag_list property¶
List of lag values.
lower_band property¶
Output array.
lower_band_above method¶
Return True for each element where lower_band is above other.
See combine_objs().
lower_band_below method¶
Return True for each element where lower_band is below other.
See combine_objs().
lower_band_crossed_above method¶
Return True for each element where lower_band is crossed_above other.
See combine_objs().
lower_band_crossed_below method¶
Return True for each element where lower_band is crossed_below other.
See combine_objs().
lower_band_equal method¶
Return True for each element where lower_band is equal other.
See combine_objs().
lower_band_stats method¶
Stats of lower_band as generic.
mean_influence_list property¶
List of mean_influence values.
param_select_func_nb method¶
SIGDET.param_select_func_nb(
i,
args_before,
close,
lag,
factor,
influence,
up_factor,
down_factor,
mean_influence,
std_influence,
*args
)
plot method¶
_SIGDET.plot(
column=None,
signal_trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Plot SIGDET.signal against SIGDET.close.
Args
column:str- Name of the column to plot.
signal_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor SIGDET.signal. add_trace_kwargs:dict- Keyword arguments passed to
fig.add_tracewhen adding each trace. fig:FigureorFigureWidget- Figure to add traces to.
**layout_kwargs- Keyword arguments passed to
fig.update_layout.
Usage
plot_bands method¶
_SIGDET.plot_bands(
column=None,
plot_close=True,
close_trace_kwargs=None,
upper_band_trace_kwargs=None,
lower_band_trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Plot SIGDET.upper_band and SIGDET.lower_band against SIGDET.close.
Args
column:str- Name of the column to plot.
plot_close:bool- Whether to plot SIGDET.close.
close_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor SIGDET.close. upper_band_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor SIGDET.upper_band. lower_band_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor SIGDET.lower_band. add_trace_kwargs:dict- Keyword arguments passed to
fig.add_tracewhen adding each trace. fig:FigureorFigureWidget- Figure to add traces to.
**layout_kwargs- Keyword arguments passed to
fig.update_layout.
Usage
run class method¶
SIGDET.run(
close,
lag=Default(value=14),
factor=Default(value=1.0),
influence=Default(value=1.0),
up_factor=Default(value=None),
down_factor=Default(value=None),
mean_influence=Default(value=None),
std_influence=Default(value=None),
short_name='sigdet',
hide_params=None,
hide_default=True,
**kwargs
)
Run SIGDET indicator.
- Inputs:
close - Parameters:
lag,factor,influence,up_factor,down_factor,mean_influence,std_influence - Outputs:
signal,upper_band,lower_band
Pass a list of parameter names as hide_params to hide their column levels, or True to hide all. Set hide_default to False to show the column levels of the parameters with a default value.
Other keyword arguments are passed to IndicatorBase.run_pipeline().
run_combs class method¶
SIGDET.run_combs(
close,
lag=Default(value=14),
factor=Default(value=1.0),
influence=Default(value=1.0),
up_factor=Default(value=None),
down_factor=Default(value=None),
mean_influence=Default(value=None),
std_influence=Default(value=None),
r=2,
param_product=False,
comb_func=itertools.combinations,
run_unique=True,
short_names=None,
hide_params=None,
hide_default=True,
**kwargs
)
Create a combination of multiple SIGDET indicators using function comb_func.
- Inputs:
close - Parameters:
lag,factor,influence,up_factor,down_factor,mean_influence,std_influence - Outputs:
signal,upper_band,lower_band
comb_func must accept an iterable of parameter tuples and r. Also accepts all combinatoric iterators from itertools such as itertools.combinations. Pass r to specify how many indicators to run. Pass short_names to specify the short name for each indicator. Set run_unique to True to first compute raw outputs for all parameters, and then use them to build each indicator (faster).
Other keyword arguments are passed to SIGDET.run().
Note
This method should only be used when multiple indicators are needed. To test multiple parameters, pass them as lists to SIGDET.run().
signal property¶
Output array.
signal_above method¶
Return True for each element where signal is above other.
See combine_objs().
signal_below method¶
Return True for each element where signal is below other.
See combine_objs().
signal_crossed_above method¶
Return True for each element where signal is crossed_above other.
See combine_objs().
signal_crossed_below method¶
Return True for each element where signal is crossed_below other.
See combine_objs().
signal_equal method¶
Return True for each element where signal is equal other.
See combine_objs().
signal_stats method¶
Stats of signal as generic.
std_influence_list property¶
List of std_influence values.
up_factor_list property¶
List of up_factor values.
upper_band property¶
Output array.
upper_band_above method¶
Return True for each element where upper_band is above other.
See combine_objs().
upper_band_below method¶
Return True for each element where upper_band is below other.
See combine_objs().
upper_band_crossed_above method¶
Return True for each element where upper_band is crossed_above other.
See combine_objs().
upper_band_crossed_below method¶
Return True for each element where upper_band is crossed_below other.
See combine_objs().
upper_band_equal method¶
Return True for each element where upper_band is equal other.
See combine_objs().
upper_band_stats method¶
Stats of upper_band as generic.