Technical Analysis with Python for Algorithmic Trading
Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python
4.59 (937 reviews)
15,419
students
13.5 hours
content
Mar 2025
last update
$84.99
regular price
What you will 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)
Screenshots
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udemy ID
1/18/2021
course created date
3/1/2021
course indexed date
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