Candlestick Pattern Recognition with Python and TA-Lib

Overview

Candlestick-Pattern-Recognition-with-Python-and-TA-Lib

Goal

  • Look at the S&P500 to try and get a better understanding of these candlestick patterns and how we can use them to find actionable ideas for trades programmatically.
  • Benefits doing this programmatically is that it saves us time.
  • Be able to detect these technical patterns using python.
  • Analyze the S&P500 for all the technical patterns.
  • Scanner for technical patterns
  • Web application

Example of Technical Patterns

  • Engulfing Pattern

DEMO

  • Example of getting data on a stock from a certain start date to end date
  • "data = yf.download("SPY", start="2021-01-01", end="2021-10-22")" YIELDS:

  • Output of data on dates that have and dont have the morningstar pattern, 0 for it doesnt have and 100 for it does.

  • "num = talib.CDLMORNINGSTAR(data Open, data High, data Low , data Close )"

  • If we print out "print(num[num !=0])" we see the dates that indicate a MorningStar pattern is detected

  • The date that our program has outputted is 2021-03-22
  • If we observe this date we can confirm the MorningStar Pattern has been detected

Owner
Ganesh Jainarain
My passion of programming and Computer Science stemmed from me wanting to know more about finances, specifically how to trade stocks with more accuracy.
Ganesh Jainarain
Project under the certification "Data Analysis with Python" on FreeCodeCamp

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