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 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)