Here are some ideas to combine the tools: Trend: You can use trendlines and candlestick patterns to identify the overall trend and potential reversals. Support/Resistance: Refine support/resistance with trendli
need to identify the uptrend or downtrend apply talib candlesticks pattern recognition the first one, I can add some python code prior using the pattern recognition CDLHAMMER for instance. However, the second one will not be solved as it does not detect the candlesticks correctly. Refer to my ...
This is the first time I've ever worked with Numpy and I'd like to make sure that how I'm using the result is correct and elegant. To identify the day in the result, I'm doing this: if -100 in values: result_index = values.tolist().index(-100) print "Identified bearish Trista...
As per bbayles' suggestion above, a solution was implemented where the code to call do_stuff() was only executed when it was deployed into an environment, rather than run locally or via unit tests. I used os.environ to identify whether this was the case or not. Answered By - GarlicBrea...
Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 140 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving Aver...
Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving ...
For pattern recognition, Bollinger Bands has the capability of testing bottom W, top M, head-shoulder patterns, etc. With upper and lower bands served as an interval, it is easier to identify the hidden pattern in the historical data. More details of Bollinger Bands can be found in TradingVi...
For pattern recognition, Bollinger Bands has the capability of testing bottom W, top M, head-shoulder patterns, etc. With upper and lower bands served as an interval, it is easier to identify the hidden pattern in the historical data. ...
Pandas Technical Analysis (Pandas TA) is an easy to use library that leverages the Pandas package with more than 130 Indicators and Utility functions and more than 60 TA Lib Candlestick Patterns. Many commonly used indicators are included, such as: Candle Pattern(cdl_pattern), Simple Moving ...
For pattern recognition, Bollinger Bands has the capability of testing bottom W, top M, head-shoulder patterns, etc. With upper and lower bands served as an interval, it is easier to identify the hidden pattern in the historical data. ...