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Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets
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Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets (1994)Trading on the Edge: Neural, Genetic, and…Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Deep learning models for pric…Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Stock market forecasting usin…A new hybrid financial time series prediction model (2020)A new hybrid financial time s…Using genetic algorithm to support clustering-based portfolio optimization by investor information (2017)Using genetic algorithm to su…Multidimensional k -nearest neighbor model based on EEMD for financial time series forecasting (2017)Multidimensional k -nearest n…A comprehensive cluster and classification mining procedure for daily stock market return forecasting (2017)A comprehensive cluster and c…A hybrid approach by integrating wavelet-based feature extraction with MARS and SVR for stock index forecasting (2012)A hybrid approach by integrat…Selecting Wavelet Transforms Model in Forecasting Financial Time Series Data Based on ARIMA Model (2011)Selecting Wavelet Transforms …Asset portfolio optimization using support vector machines and real-coded genetic algorithm (2011)Asset portfolio optimization …Integrating independent component analysis-based denoising scheme with neural network for stock price prediction (2010)Integrating independent compo…A neural-network-based nonlinear metamodeling approach to financial time series forecasting (2008)A neural-network-based nonlin…Neural network approach to forecasting of quasiperiodic financial time series (2005)Neural network approach to fo…Tourist market segmentation with linear and non-linear techniques (2003)Tourist market segmentation w…Forecasting of currency exchange rates using ANN: a case study (2003)Forecasting of currency excha…Forecasting and trading currency volatility: an application of recurrent neural regression and model combination (2002)Forecasting and trading curre…Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map (2001)Improved financial time serie…Forecasting with artificial neural networks: (1998)The use of data mining and neural networks for forecasting stock market returns (2005)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting (2012)Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction (2020)Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees (2021)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Application of support vector machines in financial time series forecasting (2001)Sales forecasting of computer products based on variable selection scheme and support vector regression (2013)A comparative study of series arima/mlp hybrid models for stock price forecasting (2018)Predicting the Direction of US Stock Prices Using Effective Transfer Entropy and Machine Learning Techniques (2020)The Pricing of Options and Corporate Liabilities (1973)Generalized autoregressive conditional heteroskedasticity (1986)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Forecasting volatility with support vector machine‐based GARCH model (2009)Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network (2009)Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage (2012)A case study on using neural networks to perform technical forecasting of forex (2000)An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks (2001)A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price (2017)Support vector regression with modified firefly algorithm for stock price forecasting (2018)Applied Economic Forecasting (1967)Time Series Analysis, Forecasting and Control. 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(1978)ANN-Based Forecasting of Foreign Currency Exchange Rates (2004)Integrating GA-based time-scale feature extractions with SVMs for stock index forecasting (2007)Chaos-based support vector regressions for exchange rate forecasting (2010)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Time series forecasting using a hybrid ARIMA and neural network model (2003)A new approach for crude oil price analysis based on Empirical Mode Decomposition (2007)Forecasting stock price movements with multiple data sources: Evidence from stock market in China (2019)Multidimensional KNN algorithm based on EEMD and complexity measures in financial time series forecasting (2020)Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange (2020)Modeling and Forecasting Realized Volatility (2003)Deep learning with long short-term memory networks for financial market predictions (2017)A hybrid decision support system for adaptive trading strategies: Combining a rule-based expert system with a deep reinforcement learning strategy (2023)Quantitative stock portfolio optimization by multi-task learning risk and return (2023)Deep learning for financial forecasting: A review of recent trends (2025)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Analysis of Financial Time Series (2005)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)A Review of Time-Series Forecasting Algorithms for Industrial Manufacturing Systems (2024)
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A new hybrid financial time series prediction model
82 cited
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