There are a lot of indicators you can calculate with the functions built in the talib and btalib libraries. It would be a hassle to gather all information indicator by indicator. Is there a way to do this at once? If so, how should I proceed doing so in python?
http://mrjbq7.github.io/ta-lib/func_groups/pattern_recognition.html
I imagine that you want to add all TI at once and save it in a data frame. There is a way to do that as follow:
!pip install ta
from ta import add_all_ta_features
from ta.utils import dropna
# Load datas
df = data.copy() # this is you data and it has to be in the OHLC and volume format
# Clean NaN values
df = dropna(df)
# Add ta features filling NaN values
df = add_all_ta_features(
df, open="open", high="high", low="low", close="close", volume="volume", fillna=True)
for more details look at the following link: https://technical-analysis-library-in-python.readthedocs.io/en/latest/
As for mrjbq7' python wrapper for TA-Lib library - there is such API. The list of available indicator names could be get as demonstrated in Supported Indicators and Functions section of the documentation and accessing to function by its indicator name is explained in Abstract API section. Once you get function object you may check out its info field for details.
