Inhaltsangabe
The author uses channel analysis to determine how certain share price cycles, made up of both random movement and predictable cyclical movement should behave in the near future, giving the investor a powerful prediction tool
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Über die Autorin bzw. den Autor
After a career as a senior lecturer in Chemistry at the University of London with a book, over seventy published papers, and review articles in the field of mass spectrometry, Brian Millard left the University in 1980 to pursue his interest in investment on a full-time basis. Releasing that the personal computer would make a profound impact on the world of investment, he marketed his Microvest package, the first of its kind in the UK in 1981. Over the past seventeen years he has been carrying out research into scientific methods of share price analysis using computers. Currently, he is engaged on the application of chaos and probability theory to stock market prediction.
Von der hinteren Coverseite
Brian Millard?s clear, concise style has established his reputation as a leading finance author. In the second edition of this highly popular work he uses channel analysis to determine how certain share price cycles, made up of both random movement and predictable cyclical movement, should behave in the near future, giving the investor a powerful prediction tool. Channel Analysis enables investors to:
- Scan rapidly a pool of 50?100 shares for new opportunities
- identify the start and end of trends only a few days after the event
- use one of three stop-loss methods as added insurance against extreme random movements
Aus dem Klappentext
Brian Millard?s clear, concise style has established his reputation as a leading finance author. In the second edition of this highly popular work he uses channel analysis to determine how certain share price cycles, made up of both random movement and predictable cyclical movement, should behave in the near future, giving the investor a powerful prediction tool. Channel Analysis enables investors to:
- Scan rapidly a pool of 50?100 shares for new opportunities
- identify the start and end of trends only a few days after the event
- use one of three stop-loss methods as added insurance against extreme random movements
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