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Trading Systems and Methods
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Trading Systems and Methods (2012)Trading Systems and MethodsOPTIMISING THE SMOOTHNESS AND ACCURACY OF MOVING AVERAGE FOR STOCK PRICE DATA (2018)OPTIMISING THE SMOOTHNESS AND…Financial news predicts stock market volatility better than close price (2018)Financial news predicts stock…Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules (2017)Mean-semivariance portfolio o…Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)Stock trend prediction based …Heuristic based trading system on Forex data using technical indicator rules (2016)Heuristic based trading syste…Utilizing artificial neural networks and genetic algorithms to build an algo-trading model for intra-day foreign exchange speculation (2013)Utilizing artificial neural n…Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction (2012)Integrating piecewise linear …Heterogeneous trading strategies with adaptive fuzzy Actor–Critic reinforcement learning: A behavioral approach (2010)Heterogeneous trading strateg…Exponential moving average versus moving exponential average (2010)Exponential moving average ve…Forecasting market prices in a supply chain game (2008)Forecasting market prices in …An empirical methodology for developing stockmarket trading systems using artificial neural networks (2008)An empirical methodology for …A Hybrid Machine Learning System For Stock Market Forecasting (2008)A Hybrid Machine Learning Sys…A Hybrid Neurogenetic Approach for Stock Forecasting (2007)A Hybrid Neurogenetic Approac…The Profitability of Technical Trading Rules in Us Futures Markets: A Data Snooping Free Test (2005)The Profitability of Technica…Stock prediction based on financial correlation (2005)Stock prediction based on fin…iJADE Stock Advisor: An Intelligent Agent Based Stock Prediction System Using Hybrid RBF Recurrent Network (2004)iJADE Stock Advisor: An Intel…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices (2011)A deep learning based stock trading model with 2-D CNN trend detection (2017)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)New Concepts in Technical Trading Systems (1978)Technical Analysis: Power Tools for Active Investors (2005)An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)Filter Rules and Stock-Market Trading (1966)Using genetic algorithms to find technical trading rules (1999)Support vector machine with adaptive parameters in financial time series forecasting (2003)A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting (2017)Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)A stock selection algorithm hybridizing grey wolf optimizer and support vector regression (2021)The Behavior of Stock-Market Prices (1965)The relationship between return and market value of common stocks (1981)The Cross-Section of Expected Stock Returns (1992)A survey on machine learning models for financial time series forecasting (2022)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Designing a neural network for forecasting financial and economic time series (1996)Evolving trading strategies using directional changes (2016)Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage (2018)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach (1997)A stacked generalization system for automated FOREX portfolio trading (2017)An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms (2017)An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market (2019)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Futures price prediction of agricultural products based on machine learning (2020)Ascertaining price formation in cryptocurrency markets with machine learning (2021)Stock Price Forecast Based on CNN-BiLSTM-ECA Model (2021)Foundations of Portfolio Theory (1991)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures (2019)Mean–variance portfolio optimization with deep learning based-forecasts for cointegrated stocks (2022)Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence (2022)PORTFOLIO SELECTION* (1952)Twitter mood predicts the stock market (2011)“Options, Futures, and Other Derivatives” (2016)Forecasting stock market movements using Google Trend searches (2019)Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting (2021)Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility (2021)Trend Time–Series Modeling and Forecasting With Neural Networks (2008)A method for automatic stock trading combining technical analysis and nearest neighbor classification (2010)Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks (2016)
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  • 2018OPTIMISING THE SMOOTHNESS AND ACCURACY OF MOVING AVERAGE FOR STOCK PRICE DATA

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51 cited
  • 2008Forecasting market prices in a supply chain game48 cited
  • 2005Stock prediction based on financial correlation40 cited
  • 2005The Profitability of Technical Trading Rules in Us Futures Markets: A Data Snooping Free Test32 cited