KavoutCompositeFactorBundle

QuantConnect.DataSource.KavoutCompositeFactorBundle

KavoutCompositeFactorBundle()

Bases: BaseData

Kavout signals are machine-learning enhanced scores that capture the returns of systematic factors such as Quality, Value, Momentum, Growth, and Low Volatility. There are many different anomalies discovered by researchers and practitioners across these factor categories, and there is no good common definition of each style across the literature.

Kavout creates an ensemble score for each style that gauges the different factors considered in the literature and industry practice.

Each signal is generated by an ensemble model consisting of inputs from hundreds of anomalies.

Constructor for initialising the dase data class

growth

growth: float

Growth factor score

value_factor

value_factor: float

Value factor score

quality

quality: float

Quality factor score

momentum

momentum: float

Momentum factor score

low_volatility

low_volatility: float

Low volatility factor score

end_time

end_time: datetime

The time that the data became available to the algorithm

symbol

symbol: Symbol

Symbol representation for underlying Security

data_type

data_type: MarketDataType

Market Data Type of this data - does it come in individual price packets or is it grouped into OHLC.

time

time: datetime

Current time marker of this data packet.

value

value: float

Value representation of this data packet. All data requires a representative value for this moment in time. For streams of data this is the price now, for OHLC packets this is the closing price.

price

price: float

As this is a backtesting platform we'll provide an alias of value as price.

ALL_RESOLUTIONS

ALL_RESOLUTIONS: List[Resolution] = ...

A list of all Resolution

This codeEntityType is protected.

DAILY_RESOLUTION

DAILY_RESOLUTION: List[Resolution] = ...

A list of Resolution.DAILY

This codeEntityType is protected.

MINUTE_RESOLUTION

MINUTE_RESOLUTION: List[Resolution] = ...

A list of Resolution.MINUTE

This codeEntityType is protected.

HIGH_RESOLUTION

HIGH_RESOLUTION: List[Resolution] = ...

A list of high Resolution, including minute, second, and tick.

This codeEntityType is protected.

OPTION_RESOLUTIONS

OPTION_RESOLUTIONS: List[Resolution] = ...

A list of resolutions support by Options

This codeEntityType is protected.

is_fill_forward

is_fill_forward: bool

True if this is a fill forward piece of data

clone

clone() -> BaseData

Return a new instance clone of this object, used in fill forward

Returns:

Type	Description
BaseData	A clone of the current object.

data_time_zone

data_time_zone() -> Any

Specifies the data time zone for this data type. This is useful for custom data types

Returns:

Type	Description
Any	The NodaTime.DateTimeZone of this data type.

get_source

get_source(
    config: SubscriptionDataConfig,
    date: datetime,
    is_live_mode: bool,
) -> SubscriptionDataSource

Return the URL string source of the file. This will be converted to a stream

Parameters:

Name	Type	Description	Default
config	SubscriptionDataConfig	Configuration object	required
date	datetime	Date of this source file	required
is_live_mode	bool	true if we're in live mode, false for backtesting mode	required

Returns:

Type	Description
SubscriptionDataSource	String URL of source file.

is_sparse_data

is_sparse_data() -> bool

Indicates that the data set is expected to be sparse

Returns:

Type	Description
bool	True if the data set represented by this type is expected to be sparse.

reader

reader(
    config: SubscriptionDataConfig,
    line: str,
    date: datetime,
    is_live_mode: bool,
) -> BaseData

Reader converts each line of the data source into BaseData objects. Each data type creates its own factory method, and returns a new instance of the object each time it is called. The returned object is assumed to be time stamped in the config.ExchangeTimeZone.

Parameters:

Name	Type	Description	Default
config	SubscriptionDataConfig	Subscription data config setup object	required
line	str	Line of the source document	required
date	datetime	Date of the requested data	required
is_live_mode	bool	true if we're in live mode, false for backtesting mode	required

Returns:

Type	Description
BaseData	Instance of the T:BaseData object generated by this line of the CSV.

requires_mapping

requires_mapping() -> bool

Indicates if there is support for mapping

Returns:

Type	Description
bool	True indicates mapping should be used.

to_string

to_string() -> str

Formats a string with Cross-asset model data

Returns:

Type	Description
str	string containing Cross-asset model information.

default_resolution

default_resolution() -> Resolution

Gets the default resolution for this data and security type

deserialize_message

deserialize_message(serialized: str) -> Iterable[BaseData]

Deserialize the message from the data server

Parameters:

Name	Type	Description	Default
serialized	str	The data server's message	required

Returns:

Type	Description
Iterable[BaseData]	An enumerable of base data, if unsuccessful, returns an empty enumerable.

should_cache_to_security

should_cache_to_security() -> bool

Indicates whether this contains data that should be stored in the security cache

Returns:

Type	Description
bool	Whether this contains data that should be stored in the security cache.

supported_resolutions

supported_resolutions() -> List[Resolution]

Gets the supported resolution for this data and security type

update

update(
    last_trade: float,
    bid_price: float,
    ask_price: float,
    volume: float,
    bid_size: float,
    ask_size: float,
) -> None

Update routine to build a bar/tick from a data update.

Parameters:

Name	Type	Description	Default
last_trade	float	The last trade price	required
bid_price	float	Current bid price	required
ask_price	float	Current asking price	required
volume	float	Volume of this trade	required
bid_size	float	The size of the current bid, if available	required
ask_size	float	The size of the current ask, if available	required

update_ask

update_ask(ask_price: float, ask_size: float) -> None

Updates this base data with the new quote ask information

Parameters:

Name	Type	Description	Default
ask_price	float	The current ask price	required
ask_size	float	The current ask size	required

update_bid

update_bid(bid_price: float, bid_size: float) -> None

Updates this base data with the new quote bid information

Parameters:

Name	Type	Description	Default
bid_price	float	The current bid price	required
bid_size	float	The current bid size	required

update_quote

update_quote(
    bid_price: float,
    bid_size: float,
    ask_price: float,
    ask_size: float,
) -> None

Updates this base data with new quote information

Parameters:

Name	Type	Description	Default
bid_price	float	The current bid price	required
bid_size	float	The current bid size	required
ask_price	float	The current ask price	required
ask_size	float	The current ask size	required

update_trade

update_trade(last_trade: float, trade_size: float) -> None

Updates this base data with a new trade

Parameters:

Name	Type	Description	Default
last_trade	float	The price of the last trade	required
trade_size	float	The quantity traded	required