Technical Analysis with Python for Algorithmic Trading

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

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur

What Will I Learn?

• Make proper use of Technical Analysis and Technical Indicators.
• Use Technical Analysis for (Day) Trading and Algorithmic Trading.
• Convert Technical Indictors into sound Trading Strategies with Python.
• Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
• Create and backtest combined Strategies with two or many Technical Indicators.
• Create interactive Charts (Line, Volume, OHLC, etc.) with Python and Plotly.
• Visualize Technical Indicators and Trend/Support/Resistance Lines with Python and Plotly.
• Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
• Load Financial Data from local files and the web.
• Simple Moving Average (SMA) strategies
• Exponential Moving Average (EMA) strategies
• Moving Average Convergence Divergence (MACD) strategies
• Relative Strength Index (RSI) strategies
• Stochastic Oscillator strategies
• Bollinger Bands strategies
• Pivot Point strategies
• Fibonacci Retracement strategies
• mixed strategies (combining two or many indicators)

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.
• Basic Python Coding Skills (Variables, Data Types, Lists, For Loops, Functions) -> This is not a Course for complete Python Beginners.
• Basic Coding Skills in Pandas, Numpy and Matplotlib
• Basic Knowledge of Trading / Investing would be great (not mandatory, but it helps)

Target audience

• (Day) Traders and Investors who want to make proper use of Technical Analysis.
• (Day) Traders and Investors who want to professionalize their Business.
• Technical Analyst and Chartist who want to improve their work/analysis with powerful Python Coding
• Everyone who wants to do more with Technical Analysis than just telling vague stories and creating pretty charts.