randx module¶
Module with RANDX.
RANDX class¶
RANDX(
wrapper,
input_list,
input_mapper,
in_output_list,
output_list,
param_list,
mapper_list,
short_name,
level_names
)
Random exit signal generator based on the number of signals.
Generates exits based on entries and rand_place_nb().
See RAND for notes on parameters.
Usage
Generate an exit for each entry:
>>> from vectorbtpro import *
>>> entries = pd.Series([True, False, False, True, False, False])
>>> randx = vbt.RANDX.run(entries, seed=42)
>>> randx.exits
0 False
1 False
2 True
3 False
4 True
5 False
dtype: bool
Superclasses
- Analyzable
- AttrResolverMixin
- Cacheable
- Chainable
- Comparable
- Configured
- ExtPandasIndexer
- HasSettings
- IndexingBase
- IndicatorBase
- PandasIndexer
- Pickleable
- PlotsBuilderMixin
- Prettified
- StatsBuilderMixin
- Wrapping
vectorbtpro.signals.generators.randx.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()
- 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.lazy_output_names
- IndicatorBase.level_names
- IndicatorBase.loc
- IndicatorBase.output_flags
- IndicatorBase.output_names
- IndicatorBase.param_names
- IndicatorBase.plots_defaults
- IndicatorBase.range_only_select
- IndicatorBase.rec_state
- IndicatorBase.row_stack()
- IndicatorBase.run_combs()
- 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.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()
Subclasses
vectorbtpro.signals.generators.randx._RANDX
apply_func method¶
custom_func method¶
SignalFactory.with_place_func.<locals>.custom_func(
input_list,
in_output_list,
param_list,
*args,
input_shape=None,
place_args=None,
entry_place_args=None,
exit_place_args=None,
entry_args=None,
exit_args=None,
cache_args=None,
entry_kwargs=None,
exit_kwargs=None,
cache_kwargs=None,
return_cache=False,
use_cache=None,
execute_kwargs=None,
**_kwargs
)
entries property¶
Input array.
entries_and method¶
Return entries AND other.
See combine_objs().
entries_or method¶
Return entries OR other.
See combine_objs().
entries_stats method¶
Stats of entries as signals.
entries_xor method¶
Return entries XOR other.
See combine_objs().
entry_place_func_nb class variable¶
exit_place_func_nb method¶
place_func_nb to randomly pick n values.
n uses flexible indexing.
exits property¶
Output array.
exits_and method¶
Return exits AND other.
See combine_objs().
exits_or method¶
Return exits OR other.
See combine_objs().
exits_stats method¶
Stats of exits as signals.
exits_xor method¶
Return exits XOR other.
See combine_objs().
plot method¶
SignalFactory.__init__.<locals>.plot(
_self,
column=None,
entry_y=None,
exit_y=None,
entry_types=None,
exit_types=None,
entry_trace_kwargs=None,
exit_trace_kwargs=None,
fig=None,
**kwargs
)
Plot RANDX.entries and RANDX.exits.
Args
entry_y:array_like- Y-axis values to plot entry markers on.
exit_y:array_like- Y-axis values to plot exit markers on.
entry_types:array_like- Entry types in string format.
exit_types:array_like- Exit types in string format.
entry_trace_kwargs:dict- Keyword arguments passed to SignalsAccessor.plot_as_entries() for RANDX.entries.
exit_trace_kwargs:dict- Keyword arguments passed to SignalsAccessor.plot_as_exits() for RANDX.exits.
fig:FigureorFigureWidget- Figure to add traces to.
**kwargs- Keyword arguments passed to SignalsAccessor.plot_as_markers().
run class method¶
Run RANDX indicator.
- Inputs:
entries - Outputs:
exits
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().