Average Reviews:
(More customer reviews)The Intermarket analysis is poorly covered in current literature, with few books of historical data and boring details.
Instead in this book the Author, who has mastered the Intermarket analysis, shares discoveries on market correlations, and helps reader to develop indicators and strategies for Etf, Futures and Stocks.
This book makes easier to understand today markets, and I suggest it for intraday and both long and short term trading. It is not for fiction traders who bet on markets direction, but for people really trading their own accounts, studying a lot of technical analysis and pondering experts ideas.
The book is written in plain English, contains useful info on international markets, and a lot of MetaStock (MS) codes to help users to design (or improving their) trading systems, even you aren't the best programmer. Users of other technical software can easily develop their trading strategies, because in the Appendix there are the MS formulas and Test Specifications for all systems.
Reading this book grow up your fever to go to your pc for studying the correlations Author disclosed, and training with his trading strategies !
Minus : discussion on fuzzy logic and genetic algorithms are very introductory (but these are very specific topics). Author limited his Intermarket analysis to major markets, and not all exchange products are covered.
Plus : the best book on the subject I ever red : the Intermarket concepts behind trading ideas are well explained. Trading strategies are deeply tested. Author insights help to really make money in today markets. Good value for price : many systems described would cost hundred dollars to buy !
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This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.
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