A Low Risk Stock Trading Decision Support System

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Netpicks - Forex Trading Futures, Options & Day Trade ...

    https://www.netpicks.com/
    Stock Market Trading System. Our Stock trading course helps individuals who are interested in learning swing trading and day trading of both stocks and options. We combine a proprietary trading system, complete training and live in the market support to help you.

Designing a Decision Support System Model for Stock ...

    http://www.iaeng.org/publication/WCECS2009/WCECS2009_pp312-316.pdf
    The attempt of analyzing the stock performance using financial theories can be traced back up to late 1800s, where the oldest approach to common stock selection and price Designing a Decision Support System Model for Stock Investment Strategy Chai Chee Yong and Shakirah Mohd Taib

Low Risk Trader

    http://www.low-risk-trader.com/
    You Control the Risk Risk is one of the few parameters you have control over. You determine how much to risk / trade and the amount of risk for your total account. Low Risk Trader provides risk-control techniques that are easy to understand and implement and protects you from large losses.

Decision Support System for the Stock Market using Data ...

    https://pdfs.semanticscholar.org/41d1/669a490ddac4919355a410ba64b9c143b5f5.pdf
    success in the stock market i.e. decision-making. Keywords Decision Support System (DSS), Data Analytics, Clustering, Holt-Winters, Supervised Learning, Machine Learning, Artificial Intelligence, Perceptron. 1. INTRODUCTION A stock market is an entity …

Low Risk Trading is Key - Amazing Accuracy

    https://www.amazingaccuracy.com/investing-article-detail.php?artID=36
    Having a low risk entry method of course is not all that is important for trading success. For example, a method could basically suggest that your stop-loss be no more than x amount of dollars away from your entry to keep the initial entry risk low.

A decision support system for stock investment ...

    https://www.sciencedirect.com/science/article/pii/S0167923613002522
    Previous research has shown that user-generated stock votes from online communities can be valuable for investment decisions. However, to support investors on a day-to-day basis, there is a need for an efficient support system to facilitate the use of the data and to transform crowd votes into actionable investment opportunities.Cited by: 50



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