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Advanced Markov-Based Machine Learning Framework for Making Adaptive Trading System
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Advanced Markov-Based Machine Learning Framework for Making Adaptive Trading System (2019)Advanced Markov-Based Machine Learning Fr…An innovative neural network approach for stock market prediction (2018)An innovative neural network …A Comparative Study of Supervised Machine Learning Algorithms for Stock Market Trend Prediction (2018)A Comparative Study of Superv…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Short-term prediction for opening price of stock market based on self-adapting variant PSO-Elman neural network (2017)Short-term prediction for ope…Forecasting S&P 500 index using artificial neural networks and design of experiments (2013)Forecasting S&P 500 index usi…Twitter Mood as a Stock Market Predictor (2011)Twitter Mood as a Stock Marke…Stock market trend prediction using ARIMA-based neural networks (2002)Stock market trend prediction…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Forecasting Transformed Series (1976)Forecasting Transformed SeriesAsset returns and inflation (1977)Business conditions and expected returns on stocks and bonds (1989)Forecasting with artificial neural networks: (1998)A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index (2015)Lean Six Sigma project selection using hybrid approach based on fuzzy DEMATEL–ANP–TOPSIS (2015)Classification of intraday S&P500 returns with a Random Forest (2018)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Applications of deep learning in stock market prediction: Recent progress (2021)Evaluating multiple classifiers for stock price direction prediction (2015)Predicting the Price of Bitcoin Using Machine Learning (2018)Deep Learning for Stock Market Prediction (2020)Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Financial Time Series Prediction Using Elman Recurrent Random Neural Networks (2016)The Combination of Forecasts (1969)Time Series Analysis Forecasting and Control. (1971)Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Forecasting monthly riverflow time series (1985)Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long-Run in High Frequency Returns (1996)The role of the log transformation in forecasting economic variables (2010)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Literature review: Machine learning techniques applied to financial market prediction (2019)From Social Sensor Data to Collective Human Behaviour Patterns - Analysing and Visualising Spatio-Temporal Dynamics in Urban Environments (2012)Use of Social Media Data to Explore Crisis Informatics (2014)Exploring the Initial Impact of COVID-19 Sentiment on US Stock Market Using Big Data (2020)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Stock market prediction using Hidden Markov Models (2012)An ARIMA‐ANN Hybrid Model for Time Series Forecasting (2013)Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)Predicting Stock Prices using Ensemble Learning and Sentiment Analysis (2019)Efficient Stock-Market Prediction Using Ensemble Support Vector Machine (2020)Machine Learning Models in Stock Market Prediction (2022)
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References

  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1990Stock market prediction system with modular neural networks654 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 1976Forecasting Transformed Series297 cited
  • 2011Twitter Mood as a Stock Market Predictor220 cited
  • 2002Stock market trend prediction using ARIMA-based neural networks183 cited
  • 2013Forecasting S&P 500 index using artificial neural networks and design of experiments156 cited
  • 2018A Comparative Study of Supervised Machine Learning Algorithms for Stock Market Trend Prediction126 cited
  • 2017Short-term prediction for opening price of stock market based on self-adapting variant PSO-Elman neural network46 cited

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