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Applied Sentiment Analysis – Trading & Forecasting

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Applied Sentiment Analysis – Trading & Forecasting, available at Free, has an average rating of 4.6, with 59 lectures, based on 105 reviews, and has 4025 subscribers.

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You will learn about Understand the COT report and its strength in predicting the market's trend. Understand basic concepts of Descriptive Statistics and their implications in trading. Learn how to develop and use a COT model from scratch. Learn how to analyze markets using Technical Analysis. Learn how to combine both types of analyses to produce robust forecasts. Back-test step-by-step the advanced strategies presented through Python. Learn about other sentiment indicators (ISM PMI, VIX, Put/Call ratio, etc) and back-test other strategies. This course is ideal for individuals who are Anyone wanting to discover how to analyze FX, equity, and commodities markets from a sentiment point of view. or Professional and retail traders wanting to enlarge their toolkit. or Long-term investors wanting to gauge the trends and the the pre-crisis periods. or Researchers wanting to dive in deeper to develop more sophisticated sentiment models. or Anyone curious about a lesser-known trading technique. It is particularly useful for Anyone wanting to discover how to analyze FX, equity, and commodities markets from a sentiment point of view. or Professional and retail traders wanting to enlarge their toolkit. or Long-term investors wanting to gauge the trends and the the pre-crisis periods. or Researchers wanting to dive in deeper to develop more sophisticated sentiment models. or Anyone curious about a lesser-known trading technique.

Enroll now: Applied Sentiment Analysis – Trading & Forecasting

Summary

Title: Applied Sentiment Analysis – Trading & Forecasting

Price: Free

Average Rating: 4.6

Number of Lectures: 59

Number of Published Lectures: 59

Number of Curriculum Items: 59

Number of Published Curriculum Objects: 59

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the COT report and its strength in predicting the market's trend.
  • Understand basic concepts of Descriptive Statistics and their implications in trading.
  • Learn how to develop and use a COT model from scratch.
  • Learn how to analyze markets using Technical Analysis.
  • Learn how to combine both types of analyses to produce robust forecasts.
  • Back-test step-by-step the advanced strategies presented through Python.
  • Learn about other sentiment indicators (ISM PMI, VIX, Put/Call ratio, etc) and back-test other strategies.

Who Should Attend

  • Anyone wanting to discover how to analyze FX, equity, and commodities markets from a sentiment point of view.
  • Professional and retail traders wanting to enlarge their toolkit.
  • Long-term investors wanting to gauge the trends and the the pre-crisis periods.
  • Researchers wanting to dive in deeper to develop more sophisticated sentiment models.
  • Anyone curious about a lesser-known trading technique.

Target Audiences

  • Anyone wanting to discover how to analyze FX, equity, and commodities markets from a sentiment point of view.
  • Professional and retail traders wanting to enlarge their toolkit.
  • Long-term investors wanting to gauge the trends and the the pre-crisis periods.
  • Researchers wanting to dive in deeper to develop more sophisticated sentiment models.
  • Anyone curious about a lesser-known trading technique.

It’s time Market Sentiment analysis got a proper step-by-step guide. Why stick only with Technical and Fundamental Analysis when you are trading the markets? Adding this powerful tool to your arsenal will greatly enhance your skills and undoubtedly improve your risk-adjusted returns.  

Whether you are just beginning or you’re already an experimented user of market sentiment analysis wanting to discover new techniques in this exciting field, then search no more! this course is for you.

It is specifically designed to guide you from A-Z with a focus on intermediate/advanced concepts that you will find very interesting through different applications and most importantly stepping-stones upon which you can build your super model and combine it with other promising types of analyses!

The CFTC publishes a goldmine every week, which is known as the Commitments of Traders Report – COT – that gauges the pulse and the feeling of the big market participants (i.e. the market movers).

Properly understanding and analyzing this report will allow the user to forecast the trend of the chosen asset (FX, equities, commodities) for the following days, weeks, and even months.

This course is split into 4 main parts:

1.       Introduction to Market Sentiment.

2.       Framework and COT Data Analysis.

3.       Advanced Concepts & Back-testing through Python.

4.       Other Sentiment Strategies (Put-call ratio, Dark pool index, Gamma exposure index, etc).

This is an APPLIED course, meaning we will not spend too much time with the boring theoretical albeit necessary stuff. There will be occasional notes for every major section to help you refresh your knowledge as you progress in the course. I will constantly be updating the sections with new sentiment and technical methods / strategies. All of the documents and code are downloadable.

      Disclaimer: We acknowledge that trading comes with risks, and therefore, we have to stress that success in this field comes with proper risk management. No model is perfect and the views expressed in this course are only based on market sentiment analysis and are for educational purposes only. Always do your homework and let no one affect your judgement unless objective data is presented.

If you have a question/complaint (or even two), you can contact me through the Q&A section.

Course Curriculum

Chapter 1: INTRODUCTION TO MARKET SENTIMENT

Lecture 1: Getting Started

Lecture 2: The Different Types of Analyses

Lecture 3: Economic Intuition 101

Lecture 4: Conflicts & Model's Choice Dilemma

Lecture 5: Important: Read FIRST

Lecture 6: Intuition of Market Sentiment

Lecture 7: Derivatives

Lecture 8: Our Approach

Lecture 9: Downloading the COT Data Step-by-Step

Lecture 10: Handling the COT Charts

Lecture 11: Open Interest & Spreads

Lecture 12: Notes – Part 1 Recap

Chapter 2: FRAMEWORK AND DATA ANALYSIS

Lecture 1: Part 2: Quick Snapshot

Lecture 2: Introduction to Descriptive Statistics

Lecture 3: EURUSD Statistical Analysis Template

Lecture 4: The 3 Golden Rules

Lecture 5: How to get the Commodities' COT values

Lecture 6: Application – Crude Oil

Lecture 7: Introduction to Behavioral Finance

Lecture 8: Behavioral Finance Extra Notes

Lecture 9: Notes – Part 2 Recap

Chapter 3: ADVANCED CONCEPTS & BACK-TESTING THROUGH PYTHON

Lecture 1: Part 3: Quick Snapshot

Lecture 2: Correlation Analysis

Lecture 3: Commercial Consumers | Soybeans

Lecture 4: Commercial Producers | USDCAD

Lecture 5: Other COT Components

Lecture 6: Cross Asset COT Technique

Lecture 7: Downloading Anaconda

Lecture 8: Getting Familiar with SPYDER

Lecture 9: Numpy and Pandas basics

Lecture 10: Performance Evaluation

Lecture 11: Strategy 1: Fixed-Barrier COT Back-testing

Lecture 12: Strategy 2: Variable-Barrier COT Back-testing

Lecture 13: COT Delta Intuition

Lecture 14: Application – Gold

Lecture 15: Strategy 3: COT Delta Back-testing

Lecture 16: Normalization Intuition

Lecture 17: Strategy 4: Normalization Back-testing

Lecture 18: Equity Sentiment COT

Lecture 19: COT | RSI Intuition

Lecture 20: Strategy 5: COT | RSI Silver

Lecture 21: Beware of Technical Analysis Traps: Back-testing the RSI

Lecture 22: Combining Technical & Sentiment Analysis

Lecture 23: Notes – Part 3 Recap

Chapter 4: OTHER SENTIMENT STRATEGIES

Lecture 1: Part 4: Quick Snapshot

Lecture 2: Downloading the GEX/DPI Data Step-By-Step

Lecture 3: Back-testing the GEX/DPI

Lecture 4: UMCSI – Intuition

Lecture 5: Application – Dollar Index

Lecture 6: ISM – Purchasing Manager's Index

Lecture 7: Downloading the Put-Call ratio Data Step-By-Step

Lecture 8: Back-testing the Put-Call Ratio

Lecture 9: The VIX from another perspective

Lecture 10: A Discussion on Discretionary Trading

Lecture 11: Part 1 Documents

Lecture 12: Part 2 Documents

Lecture 13: Part 3 Documents

Lecture 14: Part 4 Documents

Lecture 15: UPDATE: New Put-Call Ratio Data

Instructors

Rating Distribution

  • 1 stars: 5 votes
  • 2 stars: 9 votes
  • 3 stars: 8 votes
  • 4 stars: 30 votes
  • 5 stars: 53 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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