Applied Sentiment Analysis - Trading & Forecasting
Learn how to create and back-test sentiment and technical models to forecast the trend of real-world assets.
2 hours of content
What you'll learn
- Understand the COT report and its ability to forecast market trends.
- Understand the fundamentals of descriptive statistics and how they apply to trading.
- Learn how to create and apply a COT model from the ground up.
- Learn how to use Technical Analysis to analyse markets.
- Learn how to use both types of analyses to generate reliable forecasts.
- Back-test the advanced strategies presented in Python step by step.
- Learn about other sentiment indicators (ISM PMI, VIX, Put/Call ratio, and so on) and back-test alternative strategies.
Explains the Commitments of Traders report, descriptive statistics, technical analysis, and sentiment indicators such as ISM PMI, VIX, and put/call ratio for market forecasting. Learners can create and back-test sentiment and technical models in Python step by step. The course applies these methods to real-world asset trends.
Who this course is for
Traders and analysts with basic Python skills who want to apply sentiment and technical forecasting models.
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#trading
#technical-analysis
#python
#backtesting
#forecasting