Technical Analysis with Python for Algorithmic Trading

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

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.

What you’ll learn

  • Convert Technical Indictors into sound Trading Strategies with Python..
  • Make proper use of Technical Analysis and Technical Indicators..
  • Create and backtest combined Strategies with two or many Technical Indicators..
  • Use Technical Analysis for (Day) Trading and Algorithmic Trading..
  • Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators..
  • Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading..

Course Content

  • TECHNICAL ANALYSIS WITH PYTHON –> 5 lectures • 21min.
  • Technical Analysis with Python for Algorithmic Trading –> 8 lectures • 1hr 11min.

Technical Analysis with Python for Algorithmic Trading

Requirements

  • A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software..
  • An internet connection capable of streaming HD videos..

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!

 

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.

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