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Using TA-Lib for Technical Analysis || Python for Financial Analysis and Algorithmic Trading

On this Python tutorial, Dr Tom Starke demonstrates how one can implement technical evaluation utilizing actual market knowledge, and generate buying and selling alerts from technical indicators corresponding to Doji, Bollinger band, dual-moving averages, in addition to analysing the ensuing efficiency (e.g., place dimension, revenue and loss). All utilizing simply a number of traces of Python codes!

The right way to set up TA-Lib:
This text from Quantinsti https://weblog.quantinsti.com/install-ta-lib-python/) appears to be essentially the most promising method to set up TA-Lib wherever.

Nevertheless, for different recommendations, comply with the rules on this hyperlink: https://mrjbq7.github.io/ta-lib/set up.html.

### To study extra, take a look at our quant programs:
*** Quantitative Buying and selling Like a Professional: Important Python Course https://xodus.podia.com/quantitative-trading-like-a-pro-essential-python-course
*** Again to the Futures: Futures Buying and selling 101 https://xodus.podia.com/back-to-the-futures-futures-trading-101

*** Backtesting 101 (to be out there on 10 December 2021)

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