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<a id="aiomql.ticks"></a>
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# aiomql.ticks
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Module for working with price ticks.
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<a id="aiomql.ticks.Tick"></a>
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## Tick Objects
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```python
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class Tick()
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```
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Price Tick of a Financial Instrument.
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**Attributes**:
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- `time` _int_ - Time of the last prices update for the symbol
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- `bid` _float_ - Current Bid price
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- `ask` _float_ - Current Ask price
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- `last` _float_ - Price of the last deal (Last)
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- `volume` _float_ - Volume for the current Last price
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- `time_msc` _int_ - Time of the last prices update for the symbol in milliseconds
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- `flags` _TickFlag_ - Tick flags
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- `volume_real` _float_ - Volume for the current Last price
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- `Index` _int_ - Custom attribute representing the position of the tick in a sequence.
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<a id="aiomql.ticks.Tick.set_attributes"></a>
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#### set\_attributes
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```python
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def set_attributes(**kwargs)
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```
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Set attributes from keyword arguments
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<a id="aiomql.ticks.Ticks"></a>
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## Ticks Objects
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```python
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class Ticks()
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```
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Container data class for price ticks. Arrange in chronological order.
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Supports iteration, slicing and assignment
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**Arguments**:
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- `data` _DataFrame | tuple[tuple]_ - Dataframe of price ticks or a tuple of tuples
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**Arguments**:
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- `flip` _bool_ - If flip is True reverse data chronological order.
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**Attributes**:
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- `data` - Dataframe Object holding the ticks
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<a id="aiomql.ticks.Ticks.__init__"></a>
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#### \_\_init\_\_
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```python
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def __init__(*, data: DataFrame | Iterable, flip=False)
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```
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Initialize the Ticks class. Creates a DataFrame of price ticks from the data argument.
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**Arguments**:
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- `data` _DataFrame | Iterable_ - Dataframe of price ticks or any iterable object that can be converted to a
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pandas DataFrame
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- `flip` _bool_ - If flip is True reverse data chronological order.
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<a id="aiomql.ticks.Ticks.ta"></a>
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#### ta
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```python
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@property
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def ta()
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```
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Access to the pandas_ta library for performing technical analysis on the underlying data attribute.
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**Returns**:
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- `pandas_ta` - The pandas_ta library
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<a id="aiomql.ticks.Ticks.ta_lib"></a>
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#### ta\_lib
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```python
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@property
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def ta_lib()
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```
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Access to the ta library for performing technical analysis. Not dependent on the underlying data attribute.
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**Returns**:
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- `ta` - The ta library
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<a id="aiomql.ticks.Ticks.data"></a>
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#### data
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```python
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@property
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def data() -> DataFrame
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```
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DataFrame of price ticks arranged in chronological order.
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<a id="aiomql.ticks.Ticks.rename"></a>
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#### rename
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```python
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def rename(inplace=True, **kwargs) -> _Ticks | None
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```
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Rename columns of the candle class.
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**Arguments**:
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- `inplace` _bool_ - Rename the columns inplace or return a new instance of the class with the renamed columns
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- `**kwargs` - The new names of the columns
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**Returns**:
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- `Ticks` - A new instance of the class with the renamed columns if inplace is False.
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- `None` - If inplace is True
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