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Overview
Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python What you'll 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...
Syllabus
- Getting Started
- Installing Python and Jupyter Notebooks
- Technical Analysis with Python - an Introduction
- Technical Analysis - Theory and Use Cases
- Simple Moving Averages (SMA) and Introduction to Backtesting
- Exponential Moving Averages (EMA)
- SMA / EMA Crossover Strategies (Coding Challenge)
- Moving Average Convergence Divergence (MACD)
- Relative Strength Index (RSI)
- Working with two or many Indicators - MACD & RSI
Instructor
Alexander Hagmann
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