SavedDataset

API documentation for tradeexecutor.backtest.preprocessed_backtest.SavedDataset Python class in Trading Strategy framework.

class SavedDataset

Bases: object

SavedDataset(set: tradeexecutor.backtest.preprocessed_backtest.BacktestDatasetDefinion, parquet_path: pathlib.Path, csv_path: pathlib.Path, parquet_file_size: int, csv_file_size: int, pair_count: int, row_count: int, duration: datetime.timedelta | None)

__init__(set, parquet_path, csv_path, parquet_file_size, csv_file_size, pair_count, row_count, duration)

Parameters:

• set (BacktestDatasetDefinion) –

• parquet_path (Path) –

• csv_path (Path) –

• parquet_file_size (int) –

• csv_file_size (int) –

• pair_count (int) –

• row_count (int) –

• duration (datetime.timedelta | None) –

Return type:

None

Methods

__init__(set, parquet_path, csv_path, ...)
get_info()	Get human readable information of this dataset to be displayed in the notebook.
get_pair_count()

Attributes

set
parquet_path
csv_path
parquet_file_size
csv_file_size
pair_count
row_count
duration

get_info()

Get human readable information of this dataset to be displayed in the notebook.

Return type:

DataFrame

__init__(set, parquet_path, csv_path, parquet_file_size, csv_file_size, pair_count, row_count, duration)

Parameters:

• set (BacktestDatasetDefinion) –

• parquet_path (Path) –

• csv_path (Path) –

• parquet_file_size (int) –

• csv_file_size (int) –

• pair_count (int) –

• row_count (int) –

• duration (datetime.timedelta | None) –

Return type:

None