SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Evaluating the Employment of Technical Indicators in Predicting Stock Price Index Variations Using Artificial Neural Networks (Case Study: Tehran Stock Exchange)
16 references·1 citing·43 second hop
Evaluating the Employment of Technical Indicators in Predicting Stock Price Index Variations Using Artificial Neural Networks (Case Study: Tehran Stock Exchange) (2012)Evaluating the Employment of Technical In…Forecasting stock indices with back propagation neural network (2011)Forecasting stock indices wit…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait (2010)Forecasting stock exchange mo…A method for automatic stock trading combining technical analysis and nearest neighbor classification (2010)A method for automatic stock …Forecasting model of global stock index by stochastic time effective neural network (2009)Forecasting model of global s…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Predicting stock index increments by neural networks: The role of trading volume under different horizons (2007)Predicting stock index increm…Nonlinear neural network forecasting model for stock index option price: Hybrid GJR–GARCH approach (2007)Nonlinear neural network fore…Intelligent technical analysis based equivolume charting for stock trading using neural networks (2006)Intelligent technical analysi…Forecasting the volatility of stock price index (2006)Forecasting the volatility of…Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest (2006)Forecasting Stock Index Movem…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)A comparison between Fama and…Financial time series forecasting using support vector machines (2003)Financial time series forecas…A hybrid genetic-neural architecture for stock indexes forecasting (2003)A hybrid genetic-neural archi…NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI (1999)NEURAL NETWORKS FOR TECHNICAL…An improved DenseNet model for prediction of stock market using stock technical indicators (2023)An improved DenseNet model fo…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting (2016)Artificial Intelligence Applied to Stock Market Trading: A Review (2021)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)The Behavior of Stock-Market Prices (1965)Time Series Analysis: Forecasting and Control (1977)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)Predicting stock returns by classifier ensembles (2010)Technical analysis strategy optimization using a machine learning approach in stock market indices (2021)Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)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)Forecasting daily stock market return using dimensionality reduction (2016)Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)The Econometrics of Financial Markets (2012)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Common risk factors in the returns on stocks and bonds (1993)A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)Forecasting S&P 500 index using artificial neural networks and design of experiments (2013)Dividend yields and expected stock returns (1988)Business conditions and expected returns on stocks and bonds (1989)Prediction of Stock Market Index Movement by Ten Data Mining Techniques (2009)Forecasting price movements using technical indicators: Investigating the impact of varying input window length (2017)Variable Selection in Time Series Forecasting Using Random Forests (2017)Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Stock index forecasting based on a hybrid model (2011)Carbon price forecasting with a novel hybrid ARIMA and least squares support vector machines methodology (2012)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2011Forecasting stock indices with back propagation neural network487 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2003A hybrid genetic-neural architecture for stock indexes forecasting320 cited
  • 2006Forecasting Stock Index Movement: A Comparison of Support Vector Machines and Random Forest244 cited
  • 2006Forecasting the volatility of stock price index236 cited
  • 2004A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market220 cited
  • 1999NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI193 cited
  • 2010A method for automatic stock trading combining technical analysis and nearest neighbor classification172 cited
  • 2007Predicting stock index increments by neural networks: The role of trading volume under different horizons161 cited
  • 2009Forecasting model of global stock index by stochastic time effective neural network151 cited
  • 2010

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait
148 cited
  • 2007Nonlinear neural network forecasting model for stock index option price: Hybrid GJR–GARCH approach141 cited
  • 2006Intelligent technical analysis based equivolume charting for stock trading using neural networks125 cited
  • Cited by

    • 2023An improved DenseNet model for prediction of stock market using stock technical indicators28 cited