Forecasting Profits Using Price and Time

The first complete guide to mastering the forecasting techniques essential for short–term trading success
While a majority of trading systems incorporate only existing or past pricing activity into their simulations, the most successful ones use forecasting methods to establish future activity. Now, Ed Gately, a leading computerized trading systems developer, creates a groundbreaking approach to forecasting that includes setting price and time targets to anticipate future price movements–an essential step in reducing risk, increasing reaction time, and yielding greater returns. With detailed coverage of such important targeting techniques as Fibonacci numbers, Fibonacci ratios, and cycle analysis, as well as support/resistance, moving average and Raff channels, Bollinger bands, and trendlines, Forecasting Profits Using Price & Time enables you to integrate today′s most accurate computerized forecasting models into your current system. Once in place, these techniques can be combined to obtain confirmation, thereby strengthening reliability. These key concepts for maximizing profits over short periods of time include:
∗ Forecasting price movements of securities by using technical analysis.
∗ Setting risk objectives and establishing stop loss levels.
∗ Confirming change of trend with moving averages, candlesticks, and other methods of plotting price movement.
∗ Using Fibonacci, Gann′s, Carolan′s, and other number series to target future prices and establish timing of future changes in trend.
Detailed charts and graphs, as well as helpful models that can be used to test individual systems before engaging in actual trades, make this an indispensable resource for learning how to forecast accurately–and successfully.

Spis treści:
The Importance of Targets.
Fundamental Methods.
Technical Methods for Setting Time and Price Targets.
Oscillators.
Other Patterns and Events.
Using Fibonacci and Other Number Series to Establish Price and Time Targets.
Positioning a Stop–Loss and Profit Objective.
The Bradley Model: Guidance From the Stars?
Using Neural Networks and Genetic Algorithms to Establish Time and Price Targets.
Putting It Together: Utilizing a Variety of Techniques.
Appendix.
Bibliography.
Index.

Nota biograficzna:
ED GATELY, an authority on computerized training, designs and tests neural networks for financial professionals and traders. He is the author of Neural Networks for Financial Forecasting, published by Wiley.

Okładka tylna:
The first complete guide to mastering the forecasting techniques essential for short–term trading success
While a majority of trading systems incorporate only existing or past pricing activity into their simulations, the most successful ones use forecasting methods to establish future activity. Now, Ed Gately, a leading computerized trading systems developer, creates a groundbreaking approach to forecasting that includes setting price and time targets to anticipate future price movements–an essential step in reducing risk, increasing reaction time, and yielding greater returns. With detailed coverage of such important targeting techniques as Fibonacci numbers, Fibonacci ratios, and cycle analysis, as well as support/resistance, moving average and Raff channels, Bollinger bands, and trendlines, Forecasting Profits Using Price & Time enables you to integrate today′s most accurate computerized forecasting models into your current system. Once in place, these techniques can be combined to obtain confirmation, thereby strengthening reliability. These key concepts for maximizing profits over short periods of time include:
∗ Forecasting price movements of securities by using technical analysis.
∗ Setting risk objectives and establishing stop loss levels.
∗ Confirming change of trend with moving averages, candlesticks, and other methods of plotting price movement.
∗ Using Fibonacci, Gann′s, Carolan′s, and other number series to target future prices and establish timing of future changes in trend.
Detailed charts and graphs, as well as helpful models that can be used to test individual systems before engaging in actual trades, make this an indispensable resource for learning how to forecast accurately–and successfully.