FIBONACCI AND GANN APPLICATIONS IN FINANCIAL MARKETS 金融市场中的斐波纳契数列与Gann应用

There are many books covering Fibonacci from an artistic and historical point of view and almost as many suggesting that Fibonacci retracements and numbers can be successfully applied to financial market time series. What is missing is a book that addresses the common errors in using screen based Fibonacci (and Gann and other tools).
The book is a critical exploration of Fibonacci numbers, retracements, projections, timeframes and fanlines and their current usage within the financial markets by technical analysts. Although they can be extremely effective analytical tools when used appropriately, mistakes in usage can be extremely costly from a financial and credibility viewpoint. George MacLean takes a brief look at the history of Fibonacci and Gann, before providing a full account of their applications in financial markets, including fixed income, equity, foreign exchange, commodities and indexes. In particular, he draws attention to the overuse and misuse of easily applied computer packages available to professional and amateur traders.

George MacLean was a Director of European Technical Analysis for Informa Global Markets/Standard and Poors MMS where he analysed the European Cash Bond Market from a technical perspective. He worked for Dow Jones and MSM as a Senior Technical Analyst and was dispatched all over the world as a troubleshooter. He contributes to the Society of Technical Analysts (STA) distance learning course and was a lecturer on the South Bank University/STA Diploma Course and the LSE/STA Diploma Course. He is currently an examiner for the STA Diploma and Level II of the International Federation of Technical Analysts Diploma in Technical Analysis.

Preface
1 Introduction to and History of the Fibonacci Sequence
2 Application to Financial Market Analysis
3 Other Applications of the Fibonacci Retracements and Extension
4 Charting and Difficulties: A Historical Perspective
5 Common Errors in Application of Fibonacci Retracements and Extension
6 Application and Common Errors in Fibonacci Fanlines
7 Application and Common Errors in Fibonacci Timelines
8 Total Analysis – Pulling All the Skills and Techniques Together
9 Gann, The Misunderstood Analysis
10 Other Interesting Studies Using Synthetic Ratios
11 Conclusion
Appendix 1: Data Problems
Appendix 2: Glossary of Common Terms
Bibliography
Index