Technical Analysis with Python for Algorithmic Trading

Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python


“(How) Can I use Technical Analysis and Technical Indicators for Trading and Investing?” – This is one of the most frequently asked questions in trading and investing.

This course clearly goes beyond rules, theories, vague forecasts, and nice-looking charts. (These are useful but traders need more than that.) This is the first 100% data-driven course on Technical Analysis. We´ll use rigorous Backtesting / Forward Testing to identify and optimize proper Trading Strategies that are based on Technical Analysis / Indicators.

This course will allow you to test and challenge your trading ideas and hypothesis. It provides Python Coding Frameworks and Templates that will enable you to code and test thousands of trading strategies within minutes. Identify the profitable strategies and scrap the unprofitable ones!     

The course covers the following Technical Analysis Tools and Indicators:

  • Interactive Line Charts and Candlestick Charts

  • Interactive Volume Charts

  • Trend, Support and Resistance Lines

  • Simple Moving Average (SMA)

  • Exponential Moving Average (EMA)       

  • Moving Average Convergence Divergence (MACD)

  • Relative Strength Index (RSI)

  • Stochastic Oscillator

  • Bollinger Bands

  • Pivot Point (Price Action)

  • Fibonacci Retracement (Price Action)

  • combined/mixed Strategies and more.

This is not only a course on Technical Analysis and Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, Matplotlib, Plotly, and more. You will learn how to use and master these Libraries for (Financial) Data Analysis, Technical Analysis, and Trading.   

Please note: This is not a course for complete Python Beginners (check out my other courses!)

What are you waiting for? Join now and start making proper use of Technical Analysis!

As always, there is no risk for you as I provide a 30-Days-Money-Back Guarantee.

Thanks and looking forward to seeing you in the Course!

Total Students10297
Original Price($)3499
Sale PriceFree
Number of lectures166
Number of quizzes0
Total Reviews609
Global Rating4.671642
Instructor NameAlexander Hagmann

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