LimitUpInfo

class zvt.domain.emotion.emotion.LimitUpInfo(**kwargs)

Bases: sqlalchemy.orm.decl_api.Base, zvt.contract.schema.Mixin

__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.

is_new

是否新股

is_again_limit

是否回封，是就是打开过，否相反

open_count

涨停打开次数,0代表封住就没开板

first_limit_up_time

首次封板时间

last_limit_up_time

最后封板时间

limit_up_type

涨停类型:换手板，一字板

order_amount

封单金额

success_rate

最近一年封板成功率

currency_value

流通市值

change_pct

涨幅

turnover_rate

换手率

reason

涨停原因

high_days

几天几板

high_days_count

最近几板，不一定是连板

entity_id

entity id

classmethod get_providers() → List[str]

providers of the schema defined by cls

Returns

providers

classmethod get_storages(provider: Optional[str] = None)

get the storages info

Parameters

provider – provider

Returns

storages

id

id

classmethod query_data(provider_index: int = 0, ids: Optional[List[str]] = None, entity_ids: Optional[List[str]] = None, entity_id: Optional[str] = None, codes: Optional[List[str]] = None, code: Optional[str] = None, level: Optional[Union[zvt.contract.IntervalLevel, str]] = None, provider: Optional[str] = None, columns: Optional[List] = None, col_label: Optional[dict] = None, return_type: str = 'df', start_timestamp: Optional[Union[str, pandas._libs.tslibs.timestamps.Timestamp]] = None, end_timestamp: Optional[Union[str, pandas._libs.tslibs.timestamps.Timestamp]] = None, filters: Optional[List] = None, session: Optional[sqlalchemy.orm.session.Session] = None, order=None, limit: Optional[int] = None, index: Optional[Union[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: Optional[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

  • 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’