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• SIDEBAR: 2/20-Day EMA Breakout System by Jeremy G. Konstenius

  ARTICLE SYNOPSIS ...Sidebar: 2/20-Day EMA Breakout System Defined Most trading systems fall into two categories. One, the most popular, is the trend-following method, where the signals are oriented toward putting the trader on board long-term trends. The profits acquired during the long-term trends will, hopefully, recover the monies lost during trendless activity. The other category takes advantage of trading ranges, and the trader makes the most money when the market's primary direction is sideways. Here's a trading system that incorporates both approaches to time entry and exit positions....

AUTHOR: Jeremy G. KonsteniusDATE: DEC 1996

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• Combined Trend and Oscillator Signals by Jeremy G. Konstenius

  ARTICLE SYNOPSIS ...Combining Trend and Oscillator Signals by Jeremy G. Konsten Most trading systems fall into two categories. One, the most popular, is the trend-following method, where the signals are oriented toward putting the trader on board long-term trends. The profits acquired during the long-term trends will, hopefully, recover the monies lost during trendless activity. The other category takes advantage of trading ranges, and the trader makes the most money when the market's primary direction is sideways. Here's a trading system that incorporates both approaches to time entry and exit positions. Mark...

AUTHOR: Jeremy G. KonsteniusDATE: DEC 1996SUBJECT: Trading Techniques

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• Trading The S&P With A Neural Network by Jeremy G. Konstenius

  ARTICLE SYNOPSIS ...Trading The S&P With A Neural Network by Jeremy G. Konstenius Here's an example of the steps that one trader took to use a neural network to trade the stock market index futures. Today's technical traders have the opportunity to use sophisticated methods for analyzing and developing trading strategies. More and more traders are looking at artificial intelligence, specifically at the use of neural networks to develop new trading strategies such as forecasting market movements. Artificial neural networks are mathematical simulations of biological neural networks, in which a neural net is sho...

AUTHOR: Jeremy G. KonsteniusDATE: OCT 1994