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.
Use Technical Analysis for (Day) Trading and Algorithmic Trading.
Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
Requirements
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
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!
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!
The course covers the following Technical Analysis Tools and Indicators:
Interactive Line Charts and Candlestick Charts
Interactive Volume Charts
Trend, Support and Resistance Lines
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Moving Average Convergence Divergence (MACD)
Relative Strength Index (RSI)
Stochastic Oscillator
Bollinger Bands
Pivot Point (Price Action)
Fibonacci Retracement (Price Action)
combined/mixed Strategies and more.
This is not only a course on Technical Analysis and Trading. It´s an in-depth coding course on Python and its Data Science Libraries Numpy, Pandas, MatDescriptionlib, Descriptionly, and more. You will learn how to use and master these Libraries for (Financial) Data Analysis, Technical Analysis, and Trading.
Who this course is for:
(Day) Traders and Investors who want to make proper use of Technical Analysis.
(Day) Traders and Investors who want to professionalize their Business.
Technical Analyst and Chartist who want to improve their work/analysis with powerful Python Coding

Homepage

https://www.udemy.com/course/technical-analysis-with-python-for-algorithmic-trading-t/

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