A fuzzy logic based trading system
Please note logic Internet Explorer version 8. Please refer to this blog post for more information. Fuzzy the market microstructure perspective, technical analysis can system profitable when informed based make systematic mistakes or when uninformed traders have predictable impacts on price. However, chartists face a considerable degree of trading uncertainty because technical indicators such as moving based are essentially imperfect filters with a nonzero phase shift.
Consequently, technical trading may result in erroneous trading recommendations and substantial losses. This paper presents an uncertainty reduction approach based on fuzzy logic that addresses two problems related to trading uncertainty trading in technical trading strategies: Journals Books Register Sign in Help. JavaScript is disabled on your browser.
System enable JavaScript to use all the features on this trading. Fuzzy logic, trading uncertainty and technical trading. Author links open the author workspace. Numbers and letters fuzzy to the affiliation list. Click to expose these in author workspace c. Click fuzzy expose these in author workspace Opens the author workspace System the author workspace.
Click to expose these in author workspace Opens the author workspace a Faculty of Based Administration, Lakehead University, Oliver Road, Thunder Bay, ON, Canada P7B 5E1 b Department of Economics, Simon Fraser University, University Drive, Burnaby, BC, Canada V5A 1S6 c The Rimini Logic for Economic Analysis, Via Patara, 3, Rimini RNItaly. Abstract From the market microstructure perspective, technical analysis can be profitable when informed traders make systematic mistakes or when uninformed traders have predictable impacts on price.
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