EurostatGrossDomesticProduct

QuantConnect.DataSource.EurostatGrossDomesticProduct

EurostatGrossDomesticProduct()

EurostatGrossDomesticProduct(line: str)

Bases: BaseData

Gross domestic product and its expenditure components for a single European economy, as index levels of chain linked volumes. The definitive measure of activity, and the one the monthly indicators in this dataset are all trying to anticipate.

Quarterly, so rows arrive four times a year rather than twelve. Volumes are deflated, which is what makes the growth real rather than nominal.

One file per economy, one row per quarter. Subscribe with a geo code, e.g. AddData(Eurostat.Economies.EuroArea) for the euro area or (Eurostat.Economies.Germany) for Germany.

Signature descriptions:

Creates a new default instance.
Creates a new instance from a CSV line produced by the data processor.

Parameters:

Name	Type	Description	Default
`line`	`Optional[str]`	Line of the source CSV: quarter, release date, then one column per component	`None`

gross_domestic_product

gross_domestic_product: Optional[float]

Gross domestic product at market prices, index of deflated volumes. This is also the data point's Value.

final_consumption

final_consumption: Optional[float]

Final consumption expenditure index. Households and government together, and the largest share of euro area output.

gross_capital_formation

gross_capital_formation: Optional[float]

Gross capital formation index. Investment, the most cyclical component and the one that swings hardest around turning points.

exports

exports: Optional[float]

Exports of goods and services index.

imports

imports: Optional[float]

Imports of goods and services index. Against exports it gives the trade contribution, which is what makes the euro area sensitive to global demand.

end_time

end_time: datetime

The date Eurostat released this reading, which is when LEAN makes the data point available.

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 Field is protected.

DAILY_RESOLUTION

DAILY_RESOLUTION: List[Resolution] = ...

A list of Resolution.DAILY

This Field is protected.

MINUTE_RESOLUTION

MINUTE_RESOLUTION: List[Resolution] = ...

A list of Resolution.MINUTE

This Field is protected.

HIGH_RESOLUTION

HIGH_RESOLUTION: List[Resolution] = ...

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

This Field is protected.

OPTION_RESOLUTIONS

OPTION_RESOLUTIONS: List[Resolution] = ...

A list of resolutions support by Options

This Field is protected.

is_fill_forward

is_fill_forward: bool

True if this is a fill forward piece of data

clone

clone() -> BaseData

Clones the instance.

Returns:

Type	Description
`BaseData`	A clone of the instance.

data_time_zone

data_time_zone() -> Any

Gets the time zone the data is published in.

Returns:

Type	Description
`Any`	The data time zone.

default_resolution

default_resolution() -> Resolution

Gets the default resolution for this data.

Returns:

Type	Description
`Resolution`	Daily resolution.

get_source

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

Specifies the location of the data and directs LEAN where to load it from.

Parameters:

Name	Type	Description	Default
`config`	`SubscriptionDataConfig`	Subscription configuration	required
`date`	`datetime`	Algorithm date	required
`is_live_mode`	`bool`	Is live mode	required

Returns:

Type	Description
`SubscriptionDataSource`	Subscription data source pointing at this economy's file.

is_sparse_data

is_sparse_data() -> bool

Indicates whether the data is sparse. Quarterly rows in a daily subscription, plus one file per economy, so LEAN will look for data that legitimately is not there.

Returns:

Type	Description
`bool`	True.

reader

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

Parses one line of the source file into a data point.

Parameters:

Name	Type	Description	Default
`config`	`SubscriptionDataConfig`	Subscription configuration	required
`line`	`str`	Line of the source CSV	required
`date`	`datetime`	Date the request was made for	required
`is_live_mode`	`bool`	Is live mode	required

Returns:

Type	Description
`BaseData`	Instance of the class with the parsed data.

requires_mapping

requires_mapping() -> bool

Indicates whether the data source requires mapping. These readings describe economies, not securities.

Returns:

Type	Description
`bool`	False.

supported_resolutions

supported_resolutions() -> List[Resolution]

Gets the resolutions this data supports.

Returns:

Type	Description
`List[Resolution]`	Daily resolution only.

to_string

to_string() -> str

Formats the instance as a string for logging and debugging.

Returns:

Type	Description
`str`	String describing the data point.

deserialize_message

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

Deserialize the message from the data server

Parameters:

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

Returns:

Type	Description
`Sequence[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.

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