The present book contains much more materials than the author's previous book The Science of Financial Market Trading. Spectrum analysis is again emphasized for the characterization of technical indicators employed by traders and investors. New indicators are created. Mathematical analysis is applied to evaluate the trading methodologies practiced by traders to execute a trade transaction. In addition, probability theory is employed to appraise the utility of money management techniques.

The book: identifies the faultiness of some of the indicators used by traders and accentuates the potential of wavelets as a trading tool; describes the scientific evidences that the market is non-random, and that the non-randomness can vary with respect to time; demonstrates the validity of the claim by some traders that, with good money management techniques, the market is still profitable even if it were random; and analyzes why a popular trading tactic has a good probability of success and how it can be improved.

Contents:

• Scientific Review of the Financial Market
• Causal Low Pass Filters
• Reduced Lag Filters
• Causal Wavelet Filters
• Instantaneous Frequency
• Phase
• Causal High Pass Filters
• Skipped Convolution
• Trading Tactics
• Trading System
• Money Management — Time Independent Case
• Money Management — Time Dependent Case
• The Reality of Trading
• Appendices:
• Sinc Functions
• Modified Low Pass Filters
• Frequency
• Higher Order Polynomial High Pass Filters
• MATLAB Programs for Money Management

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