Technical Analysis with Python for Algorithmic Trading by Tyler Aaron
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (1h 26m) | Size: 855.6 MB
Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python
What you'll learn:
Convert Technical Indictors into sound Trading Strategies with Python.
Make proper use of Technical Analysis and Technical Indicators.
Create and backtest combined Strategies with two or many Technical Indicators.
Visualize Technical Indicators and Trend/Support/Resistance Lines with Python and Plotly.
Exponential Moving Average (EMA) strategies
Relative Strength Index (RSI) strategies
Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
Create interactive Charts (Line, Volume, OHLC, etc.) with Python and Plotly.
Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
Requirements
An internet connection capable of streaming HD videos.
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
Basic Coding Skills in Pandas, Numpy and Matplotlib
Description
This course clearly goes beyond rules, theories, vague forecasts, and nice-looking charts. (These are useful but traders need more than that.) This is the first 100% data-driven course on Technical Analysis. We´ll use rigorous Backtesting / Forward Testing to identify and optimize proper Trading Strategies that are based on Technical Analysis / Indicators.
This course will allow you to test and challenge your trading ideas and hypothesis. It provides Python Coding Frameworks and Templates that will enable you to code and test thousands of trading strategies within minutes. Identify the profitable strategies and scrap the unprofitable ones!
