adx module¶
Module with ADX.
ADX class¶
ADX(
wrapper,
input_list,
input_mapper,
in_output_list,
output_list,
param_list,
mapper_list,
short_name,
**kwargs
)
Average Directional Movement Index (ADX).
The indicator is used by some traders to determine the strength of a trend.
See Average Directional Index (ADX).
Superclasses
- Analyzable
- AttrResolverMixin
- Cacheable
- Chainable
- Comparable
- Configured
- ExtPandasIndexer
- HasSettings
- IndexApplier
- IndexingBase
- IndicatorBase
- Itemable
- PandasIndexer
- Paramable
- Pickleable
- PlotsBuilderMixin
- Prettified
- StatsBuilderMixin
- Wrapping
vectorbtpro.indicators.custom.adx.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.adx._ADX
adx property¶
Output array.
adx_above method¶
Return True for each element where adx is above other.
See combine_objs().
adx_below method¶
Return True for each element where adx is below other.
See combine_objs().
adx_crossed_above method¶
Return True for each element where adx is crossed_above other.
See combine_objs().
adx_crossed_below method¶
Return True for each element where adx is crossed_below other.
See combine_objs().
adx_equal method¶
Return True for each element where adx is equal other.
See combine_objs().
adx_stats method¶
Stats of adx as generic.
apply_func method¶
2-dim version of adx_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.
dx property¶
Output array.
dx_above method¶
Return True for each element where dx is above other.
See combine_objs().
dx_below method¶
Return True for each element where dx is below other.
See combine_objs().
dx_crossed_above method¶
Return True for each element where dx is crossed_above other.
See combine_objs().
dx_crossed_below method¶
Return True for each element where dx is crossed_below other.
See combine_objs().
dx_equal method¶
Return True for each element where dx is equal other.
See combine_objs().
dx_stats method¶
Stats of dx as generic.
high property¶
Input array.
high_above method¶
Return True for each element where high is above other.
See combine_objs().
high_below method¶
Return True for each element where high is below other.
See combine_objs().
high_crossed_above method¶
Return True for each element where high is crossed_above other.
See combine_objs().
high_crossed_below method¶
Return True for each element where high is crossed_below other.
See combine_objs().
high_equal method¶
Return True for each element where high is equal other.
See combine_objs().
high_stats method¶
Stats of high as generic.
low property¶
Input array.
low_above method¶
Return True for each element where low is above other.
See combine_objs().
low_below method¶
Return True for each element where low is below other.
See combine_objs().
low_crossed_above method¶
Return True for each element where low is crossed_above other.
See combine_objs().
low_crossed_below method¶
Return True for each element where low is crossed_below other.
See combine_objs().
low_equal method¶
Return True for each element where low is equal other.
See combine_objs().
low_stats method¶
Stats of low as generic.
minus_di property¶
Output array.
minus_di_above method¶
Return True for each element where minus_di is above other.
See combine_objs().
minus_di_below method¶
Return True for each element where minus_di is below other.
See combine_objs().
minus_di_crossed_above method¶
Return True for each element where minus_di is crossed_above other.
See combine_objs().
minus_di_crossed_below method¶
Return True for each element where minus_di is crossed_below other.
See combine_objs().
minus_di_equal method¶
Return True for each element where minus_di is equal other.
See combine_objs().
minus_di_stats method¶
Stats of minus_di as generic.
param_select_func_nb method¶
plot method¶
_ADX.plot(
column=None,
plus_di_trace_kwargs=None,
minus_di_trace_kwargs=None,
adx_trace_kwargs=None,
add_trace_kwargs=None,
fig=None,
**layout_kwargs
)
Plot ADX.plus_di, ADX.minus_di, and ADX.adx.
Args
column:str- Name of the column to plot.
plus_di_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor ADX.plus_di. minus_di_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor ADX.minus_di. adx_trace_kwargs:dict- Keyword arguments passed to
plotly.graph_objects.Scatterfor ADX.adx. 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
plus_di property¶
Output array.
plus_di_above method¶
Return True for each element where plus_di is above other.
See combine_objs().
plus_di_below method¶
Return True for each element where plus_di is below other.
See combine_objs().
plus_di_crossed_above method¶
Return True for each element where plus_di is crossed_above other.
See combine_objs().
plus_di_crossed_below method¶
Return True for each element where plus_di is crossed_below other.
See combine_objs().
plus_di_equal method¶
Return True for each element where plus_di is equal other.
See combine_objs().
plus_di_stats method¶
Stats of plus_di as generic.
run class method¶
ADX.run(
high,
low,
close,
window=Default(value=14),
wtype=Default(value='wilder'),
short_name='adx',
hide_params=None,
hide_default=True,
**kwargs
)
Run ADX indicator.
- Inputs:
high,low,close - Parameters:
window,wtype - Outputs:
plus_di,minus_di,dx,adx
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¶
ADX.run_combs(
high,
low,
close,
window=Default(value=14),
wtype=Default(value='wilder'),
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 ADX indicators using function comb_func.
- Inputs:
high,low,close - Parameters:
window,wtype - Outputs:
plus_di,minus_di,dx,adx
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 ADX.run().
Note
This method should only be used when multiple indicators are needed. To test multiple parameters, pass them as lists to ADX.run().
window_list property¶
List of window values.
wtype_list property¶
List of wtype values.