GridSearchResult

tradeexecutor.backtest.grid_search.GridSearchResult Python class in Trading Strategy framework.

class GridSearchResult

Bases: object

Result for one grid combination.

__init__(combination, state, summary, metrics, cached=False, process_id=None)

Parameters:

• combination (GridCombination) –

• state (State) –

• summary (TradeSummary) –

• metrics (DataFrame) –

• cached (bool) –

• process_id (Optional[int]) –

Return type:

None

Methods

__init__(combination, state, summary, metrics)
has_result(combination)
load(combination)	Deserialised from the cached Python pickle.
save()	Serialise as Python pickle.

Attributes

combination	For which grid combination this result is
state	The full back test state
summary	Calculated trade summary
metrics	Performance metrics
cached	Was this result read from the earlier run save
process_id	Child process that created this result.

combination: GridCombination

For which grid combination this result is

state: State

The full back test state

summary: TradeSummary

Calculated trade summary

metrics: DataFrame

Performance metrics

cached: bool

Was this result read from the earlier run save

process_id: int

Child process that created this result.

Only applicable to multiprocessing

static load(combination)

Deserialised from the cached Python pickle.

Parameters:

combination (GridCombination) –

save()

Serialise as Python pickle.

__init__(combination, state, summary, metrics, cached=False, process_id=None)

Parameters:

• combination (GridCombination) –

• state (State) –

• summary (TradeSummary) –

• metrics (DataFrame) –

• cached (bool) –

• process_id (Optional[int]) –

Return type:

None