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Explains how to identify potential future trends and turning points in equity prices (short, long and medium-term) by analysing past cycles in market data. This title details the mechanics of identifying this 10 percent - estimating the stability of trend positions, drawing probability boundaries for price positions.

Brian J. Millard 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. A considerable proportion of price movement is random and as such, investors cannot achieve 100% success in predicting price movement. However, cycles are present in share price data, and channel analysis can be used to determine their position. Channel analysis enables investors to: - Rapidly scan a pool of 50-100 shares for new opportunities - Identify the start...