Technical Analysis with Python for Algorithmic Trading

(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.