Index1dZenFactor

class zvt.factors.zen.domain.index_1d_zen_factor.Index1dZenFactor(**kwargs)

Bases: Base, ZenFactorCommon

__init__(**kwargs)

A simple constructor that allows initialization from kwargs.

Sets attributes on the constructed instance using the names and values in kwargs.

Only keys that are present as attributes of the instance’s class are allowed. These could be, for example, any mapped columns or relationships.

bi_change

bi_di

bi_ding

bi_interval

bi_slope

bi_value

bi_zhongshu

bi_zhongshu_change

close

current_change

current_direction

current_interval

current_merge_zhongshu_change

current_merge_zhongshu_interval

current_merge_zhongshu_level

current_merge_zhongshu_y0

current_merge_zhongshu_y1

current_slope

current_zhongshu_change

current_zhongshu_y0

current_zhongshu_y1

duan_change

duan_di

duan_ding

duan_interval

duan_slope

duan_state

duan_value

entity_id

entity id

fenxing_power

classmethod get_providers() → List[str]

providers of the schema defined by cls

Returns:

providers

classmethod get_storages(provider: str = None)

get the storages info

Parameters:

provider – provider

Returns:

storages

high

id

id

level

low

merge_zhongshu

merge_zhongshu_change

merge_zhongshu_interval

merge_zhongshu_level

open

opposite_change

opposite_interval

opposite_slope

classmethod query_data(provider_index: int = 0, ids: List[str] = None, entity_ids: List[str] = None, entity_id: str = None, codes: List[str] = None, code: str = None, level: IntervalLevel | str = None, provider: str = None, columns: List = None, col_label: dict = None, return_type: str = 'df', start_timestamp: Timestamp | str = None, end_timestamp: Timestamp | str = None, filters: List = None, session: Session = None, order=None, limit: int = None, distinct=None, index: str | list = None, drop_index_col=False, time_field: str = 'timestamp')

query data by the arguments

Parameters:

• provider_index

• data_schema

• ids

• entity_ids

• entity_id

• codes

• code

• level

• provider

• columns

• col_label – dict with key(column), value(label)

• return_type – df, domain or dict. default is df

• start_timestamp

• end_timestamp

• filters

• session

• order

• limit

• index – index field name, str for single index, str list for multiple index

• drop_index_col – whether drop the col if it’s in index, default False

• time_field

Returns:

results basing on return_type.

classmethod record_data(provider_index: int = 0, provider: str = None, force_update=None, sleeping_time=None, exchanges=None, entity_id=None, entity_ids=None, code=None, codes=None, real_time=None, fix_duplicate_way=None, start_timestamp=None, end_timestamp=None, one_day_trading_minutes=None, **kwargs)

record data by the arguments

Parameters:

• entity_id

• provider_index

• provider

• force_update

• sleeping_time

• exchanges

• entity_ids

• code

• codes

• real_time

• fix_duplicate_way

• start_timestamp

• end_timestamp

• one_day_trading_minutes

• kwargs

Returns:

classmethod register_provider(provider)

register the provider to the schema defined by cls

Parameters:

provider

classmethod register_recorder_cls(provider, recorder_cls)

register the recorder for the schema

Parameters:

• provider

• recorder_cls

timestamp

the meaning could be different for different case,most time it means ‘happen time’ Need replace with your timezone

tmp_di

tmp_ding

tmp_direction

turnover

volume

zhongshu

zhongshu_change