Technical Analysis with Python for Algorithmic Trading By Alexander Hagmann
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Technical Analysis with Python for Algorithmic Trading · Program
About this program
Technical Analysis with Python for Algorithmic Trading
Online Course
Learning format
Technical Analysis
Subcategory
English
Course language
$74.99
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Technical Analysis with Python for Algorithmic Trading
- 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)
What's Included in Technical Analysis with Python for Algorithmic Trading
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