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# Table of Contents
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* [get\_data](#get_data)
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* [Cursor](#get_data.Cursor)
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* [BackTestData](#get_data.BackTestData)
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* [set\_attrs](#get_data.BackTestData.set_attrs)
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* [fields](#get_data.BackTestData.fields)
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* [GetData](#get_data.GetData)
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* [\_\_init\_\_](#get_data.GetData.__init__)
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* [pickle\_data](#get_data.GetData.pickle_data)
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* [load\_data](#get_data.GetData.load_data)
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* [save\_data](#get_data.GetData.save_data)
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* [get\_data](#get_data.GetData.get_data)
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<a id="get_data"></a>
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# get\_data
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<a id="get_data.Cursor"></a>
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## Cursor Objects
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```python
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class Cursor(NamedTuple)
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```
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A cursor to iterate over the data. Marks the current position.
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<a id="get_data.BackTestData"></a>
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## BackTestData Objects
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```python
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@dataclass
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class BackTestData()
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```
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The data class to store the backtesting data.
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**Attributes**:
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- `name` _str_ - The name of the backtest data.
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- `terminal` _dict_ - The terminal information.
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- `version` _tuple_ - The version of the terminal.
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- `account` _dict_ - The account information.
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- `symbols` _dict_ - The symbols information.
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- `ticks` _dict_ - The ticks data.
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- `rates` _dict_ - The rates data.
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- `span` _range_ - The range of the data.
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- `range` _range_ - The range of the data.
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- `orders` _dict_ - The orders data.
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- `deals` _dict_ - The deals data.
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- `positions` _dict_ - The positions data.
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- `open_positions` _set_ - The open positions.
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- `cursor` _Cursor_ - The cursor to iterate over the data.
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- `margins` _dict_ - The margins data.
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- `fully_loaded` _bool_ - A flag to indicate if the data is fully loaded
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<a id="get_data.BackTestData.set_attrs"></a>
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#### set\_attrs
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```python
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def set_attrs(**kwargs)
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```
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Set the attributes of the class on the instance.
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<a id="get_data.BackTestData.fields"></a>
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#### fields
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```python
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@property
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def fields()
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```
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A list of the fields of the class.
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<a id="get_data.GetData"></a>
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## GetData Objects
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```python
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class GetData()
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```
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A class to get the backtesting data from the MetaTrader5 terminal.
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**Attributes**:
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- `start` _datetime_ - The start date of the data.
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- `end` _datetime_ - The end date of the data.
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- `symbols` _Sequence[str]_ - The symbols to get the data for.
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- `timeframes` _Sequence[TimeFrame]_ - The timeframes to get the data for.
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- `name` _str_ - The name of the backtest data.
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- `range` _range_ - The range of the data.
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- `span` _range_ - The span of the data.
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- `data` _BackTestData_ - The backtesting data.
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- `mt5` _MetaTrader_ - The MetaTrader5 instance.
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- `task_queue` _TaskQueue_ - The task queue to handle the requests.
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<a id="get_data.GetData.__init__"></a>
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#### \_\_init\_\_
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```python
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def __init__(*,
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start: datetime,
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end: datetime,
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symbols: Sequence[str],
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timeframes: Sequence[TimeFrame],
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name: str = "")
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```
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Get the backtesting data from the MetaTrader5 terminal.
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**Arguments**:
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- `start` _datetime_ - The start date of the data.
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- `end` _datetime_ - The end date of the data.
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- `symbols` _Sequence[str]_ - The symbols to get the data for.
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- `timeframes` _Sequence[TimeFrame]_ - The timeframes to get the data for.
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- `name` _str_ - The name of the backtest data.
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<a id="get_data.GetData.pickle_data"></a>
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#### pickle\_data
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```python
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@classmethod
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def pickle_data(cls, *, data: BackTestData, name: str | Path)
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```
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Pickle the data to a file.
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**Arguments**:
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- `data` _BackTestData_ - The data to pickle.
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- `name` _str | Path_ - The name of the file to pickle the data to.
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<a id="get_data.GetData.load_data"></a>
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#### load\_data
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```python
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@classmethod
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def load_data(cls, *, name: str | Path) -> BackTestData
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```
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Load the data from a file.
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**Arguments**:
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- `name` _str | Path_ - The name of the file to load the data from.
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<a id="get_data.GetData.save_data"></a>
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#### save\_data
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```python
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def save_data(*, name: str | Path = "")
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```
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Save the data to a file.
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**Arguments**:
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- `name` _str | Path_ - The name of the file to save the data to. If not provided, the name of the data is used.
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<a id="get_data.GetData.get_data"></a>
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#### get\_data
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```python
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async def get_data(workers: int = None)
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```
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Use the task queue to get the data from the MetaTrader5 terminal.
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**Arguments**:
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- `workers` _int_ - The number of workers to use in the task queue. If not provided, the default number of workers
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is used.
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