Forecasting Profits Using Price and TimeThe 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. |
Contents
CHAPTER | 1 |
Fundamental Methods | 7 |
CHAPTER 3 | 33 |
Oscillators | 63 |
CHAPTER 5 | 77 |
CHAPTER 7 | 107 |
CHAPTER 8 | 119 |
CHAPTER 9 | 127 |
CHAPTER 10 | 133 |
APPENDIX | 141 |
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Common terms and phrases
A. G. Edwards accordions advance ADXR Alaska Airlines Analysis of Stocks Apr May Jun Aug Sep Oct black body Bollinger bands Bradley model changes in trend close Cluster cycle lines displaced moving average divergence Elliott-wave EQUIS International example Feb Mar Apr Fibonacci lines Fibonacci numbers Fibonacci ratios forecast Fourier analysis future Gann gaps harmonic head-and-shoulders indicate Jul Aug Sep Jun Jul Aug Kasanjian Research line A-A line B-B MACD March April Metastock methods neural networks neuron Note occur Oct Nov Dec ON-BALANCE VOLUME percent price action price movement price oscillator profit regression line Relative Strength Index resistance levels reversal sell signal Sep Oct Nov shown in Figure shows sine wave square wave stochastic oscillator stock market stock prices Stocks and Commodities stop-loss points support and resistance support level Technical Analysis technique Trading trendline weekly chart weekly plot white body Wiley XEROX-XEROX
Popular passages
Page 147 - Efron, B. The Jackknife, the Bootstrap and Other Resampling Plans, SIAM, Philadelphia, 1982. Ehlers, John F. "Optimizing RSI with Cycles," Technical Analysis of Stocks & Commodities, February 1986.
Page 147 - Connectionist Models, eds. JA Barnden, JB Pollack, in the series Advances in Connectionist and Neural Computation Theory, Vol. 1, pp.305-321, 1991. [Elman 90] Elman, JL, "Finding Structure in Time", Cognitive Science, Vol.