Metadata#

tradeexecutor.state.metadata.Metadata Python class in Trading Strategy framework.

class Metadata[source]#

Bases: object

Strategy metadata.

__init__(name, short_description, long_description, icon_url, started_at, executor_running, on_chain_data=<factory>, backtested_state=None, backtest_notebook=None, backtest_html=None, key_metrics_backtest_cut_off=datetime.timedelta(days=90))#
Parameters:
Return type:

None

Methods

__init__(name, short_description, ...[, ...])

create_dummy()

from_dict(kvs, *[, infer_missing])

from_json(s, *[, parse_float, parse_int, ...])

has_backtest_data()

Does this strategy have backtest data available on the file system?

schema(*[, infer_missing, only, exclude, ...])

to_dict([encode_json])

to_json(*[, skipkeys, ensure_ascii, ...])

Attributes

backtest_html

Backtest notebook .html file

backtest_notebook

Backtest notebook .ipynb file

backtested_state

The previous backtest run results for this strategy.

key_metrics_backtest_cut_off

How many days live data is collected until key metrics are switched from backtest to live trading based

name

Strategy name

short_description

1 sentence

long_description

Multiple paragraphs.

icon_url

For <img src>

started_at

When the instance was started last time, UTC

executor_running

Is the executor main loop running or crashed.

on_chain_data

List of smart contracts and related web3 interaction information for this strategy.

name: str#

Strategy name

short_description: Optional[str]#

1 sentence

long_description: Optional[str]#

Multiple paragraphs.

icon_url: Optional[str]#

For <img src>

started_at: datetime#

When the instance was started last time, UTC

executor_running: bool#

Is the executor main loop running or crashed.

Use /status endpoint to get the full exception info.

Not really a part of metadata, but added here to make frontend queries faster. See also tradeexecutor.state.executor_state.ExecutorState.

on_chain_data: OnChainData#

List of smart contracts and related web3 interaction information for this strategy.

backtested_state: Optional[State] = None#

The previous backtest run results for this strategy.

Used in the web frontend to display the backtested values.

backtest_notebook: Optional[Path] = None#

Backtest notebook .ipynb file

backtest_html: Optional[Path] = None#

Backtest notebook .html file

key_metrics_backtest_cut_off: timedelta = datetime.timedelta(days=90)#

How many days live data is collected until key metrics are switched from backtest to live trading based

has_backtest_data()[source]#

Does this strategy have backtest data available on the file system?

Return type:

bool

__init__(name, short_description, long_description, icon_url, started_at, executor_running, on_chain_data=<factory>, backtested_state=None, backtest_notebook=None, backtest_html=None, key_metrics_backtest_cut_off=datetime.timedelta(days=90))#
Parameters:
Return type:

None