DA4456 CMT curriculum updates level II
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CURRICULUM UPDATES
2018
CMTA
2019
Section I: Chart Development and Analysis
• Chapter 1: Charting
• Chapter 1: Charting
• Chapter 2: Moving Averages
• Chapter 2: Moving Averages
• Chapter 3: Time-Based Trend Calculations
• Chapter 3: Time-Based Trend Calculations
• Chapter 4: Trend Systems Part 1
• Chapter 4: Trend Systems Part 1
• Chapter 5: Trend Systems Part 2
• Chapter 5: Trend Systems Part 2
• Chapter 6: Momentum and Oscillators
• Chapter 6: Momentum and Oscillators
• Chapter 7: Volume, Open Interest, and Breadth
• Chapter 7: Volume, Open Interest, and Breadth
• Chapter 8: Bar Chart Patterns
• Chapter 8: Bar Chart Patterns
• Chapter 9: Short Term Patterns
• Chapter 9: Short Term Patterns
• Chapter 10: Single Candle Lines
• Chapter 10: Single Candle Lines
• Chapter 11: Multi-Candle Patterns
• Chapter 11: Multi-Candle Patterns
• Chapter 12: Candle Pattern Forecasting and Trading Techniques
• Chapter 12: Candle Pattern Forecasting and Trading Techniques
• Chapter 13: Concepts in Cycle Theory (NEW)
• Chapter 14: Applied Cycle Analysis (NEW)
2018
CMTA
2019
Section II: Volatility Measures in Today’s Financial Markets
• Chapter 13: Option Pricing Basics
• Chapter 15: Options (NEW)
• Chapter 14: Understanding Implied Volatility
• Chapter 16: Understanding Implied Volatility
• Chapter 15: About the VIX Index
• Chapter 17: About the VIX Index
2018
CMTA
2019
Section III: Topics in Behavioral Finance
• Chapter 16: Selection of Markets and Issues
• Chapter 18: Prospect Theory
• Chapter 17: Intermarket Analysis
• Chapter 19: Perception Biases
• Chapter 18: Cycle Analysis
• Chapter 20: Inertial Effects
• Chapter 19: Relative Strength Strategies for Investing
• Chapter 21: Analyzing Sentiment in the Stock Market (NEW)
• Chapter 20: A Stock Market Model
• Chapter 22: Analyzing Sentiment in Derivatives Markets (NEW)
• Chapter 21: A Simple Model For Bonds
• Chapter 22: Perspectives on Active and Passive Money Management
2018
CMTA
2019
Section IV: Statistical Applications for Technical Analysts
• Chapter 23: Prospect Theory
• Chapter 23: Inferential Statistics (NEW)
• Chapter 24: Perception Biases
• Chapter 24: Correlation
• Chapter 25: Inertial Effects
• Chapter 25: Regression
• Chapter 26: Regression Analysis
2018
CMTA
2019
Section V: Technical Methods and Market Selection
• Chapter 26: Correlation
• Chapter 27: Selection of Markets and Issues
• Chapter 27: Regression
• Chapter 28: Intermarket Analysis
• Chapter 28: Regression Analysis
• Chapter 29: Relative Strength Strategeis for Investing
• Chapter 29: The Scientific Method and Technical Analysis
• Chapter 30: A Stock Market Model
• Chapter 30: Theories of Nonrandom Price Motion
• Chapter 31: A Simple Model for Bonds
• Chapter 31: Case Study of Rule Data Mining for the S&P 500
• Chapter 32: Perspectives on Active and Passive Money Management
• Chapter 32: System Design and Testing
2018
CMTA
2019
Section VI: Designing and Testing Technical Trading Systems
• Chapter 33: The Statistics of Backtesting (NEW)
• Chapter 34: The Scientific Method and Technical Analysis
• Chapter 35: Theories of Nonrandom Price Motion
• Chapter 36: Case Study of Rule Data Mining for the S&P 500
• Chapter 37: System Design and Testing
