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v3.23
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## <a id="candle"></a> Candle
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Candle and Candles classes for handling bars from the MetaTrader 5 terminal.
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```python
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class Candle
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```
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A class representing bars from the MetaTrader 5 terminal as a customized class analogous to Japanese Candlesticks.
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You can subclass this class for added customization.
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### Attributes
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|Name|Type|Description|
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|---|---|---|
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|**time**|**int**|Period start time|
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|**open**|**int**|Open price|
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|**high**|**float**|The highest price of the period|
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|**low**|**float**|The lowest price of the period|
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|**close**|**float**|Close price|
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|**tick_volume**|**float**|Tick volume|
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|**real_volume**|**float**|Trade volume|
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|**spread**|**float**|Spread|
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|**Index**|**int**|Custom attribute representing the position of the candle in a sequence.|
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### \_\_init\_\_
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```python
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def __init__(**kwargs)
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```
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Create a Candle object from keyword arguments. Kwargs are set as instance attributes.
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#### Arguments:
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|Name|Type|Description|
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|---|---|---|
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|**kwargs**|**Any**|Candle attributes and values as keyword arguments.|
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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 keyword arguments as instance attributes
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### mid
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```python
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@property
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def mid() -> float
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```
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The median of open and close
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#### Returns:
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|Type|Description|
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|---|---|
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|**float**|The median of open and close|
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### is_bullish
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```python
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def is_bullish() -> bool
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```
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A simple check to see if the candle is bullish.
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#### Returns:
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|Type|Description|
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|---|---|
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|**bool**|True or False|
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### is_bearish
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```python
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def is_bearish() -> bool
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```
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A simple check to see if the candle is bearish.
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#### Returns:
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|Type|Description|
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|---|---|
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|bool|True or False|
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## <a id="candles"></a> Candles
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```python
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class Candles(Generic[_Candle])
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```
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An iterable container class of Candle objects in chronological order. A wrapper around Pandas DataFrame object.
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### Attributes:
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|Name|Type|Description|
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|---|---|---|
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|**data**|**DataFrame**|A pandas DataFrame of all candles in the object.|
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|**Index**|**Series['int']**|A pandas Series of the indexes of all candles in the object|
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|**time**|**Series['int']**|A pandas Series of the time of all candles in the object|
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|**open**|**Series[float]**|A pandas Series of the opening price of all candles in the object|
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|**high**|**Series[float]**|A pandas Series of the high price of all candles in the object|
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|**low**|**Series[float]**|A pandas Series of the low price of all candles in the object|
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|**close**|**Series[float]**|A pandas Series of the closing price of all candles in the object|
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|**tick_volume**|**Series[float]**|A pandas Series of the tick volume of all candles in the object|
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|**real_volume**|**Series[float]**|A pandas Series of the real volume of all candles in the object|
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|**spread**|**Series[float]**|A pandas Series of the spread of all candles in the object|
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|**timeframe**|**TimeFrame**|The timeframe of the candles in the object|
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|**Candle**|**Type[Candle]**|The Candle class for representing the candles in the object.|
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|**data**|**DataFrame**|A pandas DataFrame of all candles in the object.|
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**Notes**: When subclassing this class make sure to Candle attribute is set to your desired candle class.
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#### \_\_init\_\_
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```python
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def __init__(*,
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data: DataFrame | _Candles | Iterable,
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flip=False,
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candle_class: Type[_Candle] = None)
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```
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A container class of Candle objects in chronological order.
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#### Arguments:
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|Name|Type|Description|Default|
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|---|---|---|---|
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|**data**|**DataFrame** or **Candles** or **Iterable**|A pandas dataframe, a Candles object or any suitable iterable|
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|**flip**|**bool**|Reverse the chronological order of the candles to the oldest first.|False|
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|**candle_class**|**Type[Candle]**|A subclass of Candle to use as the candle class.|Candle|
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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. Use this as you would use the pandas_ta library.
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#### Returns:
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|Type|Description|
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|**pandas_ta**|The pandas_ta library|
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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. Use this for
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functions that require pandas Series as input.
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#### Returns:
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|Type|Description|
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|ta|The ta library|
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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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A pandas DataFrame of all candles in the object.
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#### rename
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```python
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def rename(inplace=True, **kwargs) -> _Candles | None
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```
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Rename columns of the candles class.
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#### Arguments:
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| Name | Type |Description|Default|
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|---------|----------|---|---|
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| inplace | **bool** |Rename the columns inplace or return a new instance of the class with the renamed columns|True|
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| **kwargs** | **str** |The new names of the columns||
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#### Returns:
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|Type|Description|
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|**Candles**|A new instance of the class with the renamed columns if inplace is False.|
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