Predicting Forex and Stock Market with Fractal Pattern: Science of Price and Time

1 Introduction to Fractal Pattern in Financial Market
1.1 Geometric Recognition and Prediction, the Bible for Successful Trading
1.2 Turning Point, Peak, Trough, Swing High, Swing Low, and ZigZag
1.3 Fractal Wave, Mother Wave, and Child Wave
2 Geometric Regularity with Ratio and Proportion in Price Pattern
2.1 Finding Geometric Regularity within Fractal Waves
2.2 Detecting Price Patterns using Intersection
2.3 Detecting Price Patterns using Proportion
2.4 Detecting Price Patterns using Ratio
2.5 Application and Limitation of Price Patterns in Trading
3 Statistical Regularity with Size in Price Pattern
3.1 Time Series Decomposition and Fractal Decomposition Analysis (FDA)
3.2 Fourier Transform and Peak Trough Transform
3.3 Turning Point Probability in Price and Time
3.4 Deterministic Cycle and Stochastic Cycle in Financial Market
3.5 Singular Spectrum Analysis (SSA) and Fractal Cycle Analysis (FCA)
4 Trading with Stochastic Cycles using Fractal Wave
4.1 Fibonacci Probability Graph
4.2 Mother Wave and Child Wave with Joint Probability
4.3 Predicting Volatility with Turning Point Probability
4.4 Support and Resistance Trading with Turning Point Probability
4.5 Harmonic Pattern Trading with Turning Point Probability
4.6 Falling Wedge Pattern and Rising Wedge Pattern with Turning Point Probability
4.7 Gann Angles with Probability
4.8 Reversal Trading with Fractal Wave and Stochastic Cycles
4.9 Breakout Trading with Fractal Wave and Stochastic Cycles
4.10 Practical Tips to Trade with Reversal and Breakout Trading
4.11 Stock Market Prediction Application with Fractal Decomposition
5 Alternative Ways to Combine the Geometric and Statistical Regularity
5.1 Volatility and Turning Point Probability
5.2 Harmonic Volatility Indicator and Movable Harmonic Volatility Indicator
5.3 Reversal Trading using Fibonacci Expansion Pattern with Volatility Analysis
5.4 Breakout Trading using Fibonacci Expansion Pattern with Volatility Analysis
5.5 Fibonacci Volatility Indicator with the Z score Configuration
6 Science of Price and Time
6.1 Augmented Dickey Fuller Test Overview
6.2 Augmented Dickey Fuller Test on Fractal Waves
7 Price Patterns in the Financial Market
7.1 Why Do We Need New Pattern Framework for day trading?
7.2 How the X3 Pattern Framework is different from other Approaches
7.3 Defining Price Patterns with Retracement and Expansion Ratio
7.4 Scientific Lag Notation for Retracement Ratio and Expansion Ratio
7.5 Closing Retracement Ratio to Describe the Structure of Pattern
7.6 Factored Expansion Ratio to Describe Structure of Pattern
7.7 Converting Number of Points to Number of Triangles
7.8 Pattern with 1 Triangle (3 points) Examples
7.9 Pattern with 2 Triangles (4 points) Examples
7.10 Pattern with 3 Triangles (5 points) Examples
7.11 Pattern with 4 Triangles (6 points) Examples
7.12 Pattern with 7 Triangles (9 points) Examples
8 Tutorial with Peak Trough Analysis
8.1 Loading Peak Trough Analysis indicator to Your Chart
8.2 Working with Fibonacci Retracement in Your Chart
8.3 Working with Fibonacci Expansion in Your Chart
9 Tutorial with X3 Price Pattern in Excel Spreadsheet
9.1 Calculating the Fibonacci Retracement Ratio in Microsoft
9.2 Calculating the Fibonacci Expansion Ratio in Apple
9.3 Detecting AB=CD pattern in Facebook
10 Tutorial for Chart Patterns
11 Risk Management in the Financial Trading
11.1 Position Sizing Techniques
11.2 Reward/Risk Ratio in your trading
11.3 Breakeven Success (or win) Rate
11.4 Know Your Profit Goal Before Your Trading
11.5 Compounding Profits
12 Special Chapter: Algorithm and Prediction for Artificial Intelligence, Time Series Forecasting, and Technical Analysis
13 References