This Udemy course is a comprehensive and well-structured introduction to Technical Analysis with Python for Algorithmic Trading. The instructor, Alexander Hagmann is a leading expert in the field with a wealth of experience in Algorithmic Trading to share. in this udemy free courses you will Learn how to Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python.
Table of contents
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)
Technical Analysis with Python for Algorithmic Trading Course
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, Matplotlib, Plotly, and more. You will learn how to use and master these Libraries for (Financial) Data Analysis, Technical Analysis, and Trading.
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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
- Everyone who wants to do more with Technical Analysis than just telling vague stories and creating pretty charts.
FAQ (Frequently Asked Questions) about this course
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Applying the Udemy coupon code is super simple. At end of this post, you will find the “REDEEM” Button, Click on it You will be instantly redirected to a specific course to which the discount is applied and will be able to enjoy significant savings.
Technical Analysis with Python for Algorithmic Trading course includes a variety of resources, such as: Video lectures, Coding exercises and quizzes, Downloadable code files and project templates, PDF guides and notes
Yes, Udemy offers a 30-day money-back guarantee for all courses purchased on the website, even if you used a coupon to purchase the course.
Yes, Udemy provides certificates of completion for courses that you have successfully finished. Once you complete all the requirements of a course, such as watching all the video lectures and completing any quizzes or assignments, you should be eligible to receive a certificate.