td_seq

API documentation for pandas_ta.momentum.td_seq Python function.

td_seq(close, asint=None, offset=None, **kwargs)

TD Sequential (TD_SEQ)

Tom DeMark’s Sequential indicator attempts to identify a price point where an uptrend or a downtrend exhausts itself and reverses.

Sources:

https://tradetrekker.wordpress.com/tdsequential/

Calculation:

Compare current close price with 4 days ago price, up to 13 days. For the consecutive ascending or descending price sequence, display 6th to 9th day value.

Args:

close (pd.Series): Series of ‘close’s asint (bool): If True, fillnas with 0 and change type to int. Default: False offset (int): How many periods to offset the result. Default: 0

Kwargs:

show_all (bool): Show 1 - 13. If set to False, show 6 - 9. Default: True fillna (value, optional): pd.DataFrame.fillna(value)

Returns:

pd.DataFrame: New feature generated.