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CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series
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CryptoNet: Using Auto-Regressive Multi-Layer Artificial Neural Networks to Predict Financial Time Series (2022)CryptoNet: Using Auto-Regressive Multi-La…Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting (2022)Fitting Multi-Layer Feed Forw…Price Trailing for Financial Trading Using Deep Reinforcement Learning (2020)Price Trailing for Financial …Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data (2020)Comparative Study of Real Tim…Indian stock market prediction using artificial neural networks on tick data (2019)Indian stock market predictio…Stock market index prediction using artificial neural network (2016)Stock market index prediction…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Forecasting of Stock Prices Using Multi Layer Perceptron (2013)Forecasting of Stock Prices U…Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy (2009)Out-of-Sample Equity Premium …Financial Constraints and Growth: Multinational and Local Firm Responses to Currency Depreciations (2007)Financial Constraints and Gro…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Stock price prediction using neural networks: A project report (1990)Stock price prediction using …EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Evaluating multiple classifiers for stock price direction prediction (2015)Sentiment analysis on social media for stock movement prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)The arbitrage theory of capital asset pricing (1976)Economic Forces and the Stock Market (1986)The Cross-Section of Expected Stock Returns (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Designing a neural network for forecasting financial and economic time series (1996)Forecasting with artificial neural networks: (1998)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)An Ensemble Stock Predictor and Recommender System (2018)Using a novel clustered 3D-CNN model for improving crop future price prediction (2022)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A neural network approach for credit risk evaluation (2007)Using artificial neural network models in stock market index prediction (2011)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Forecasting: theory and practice (2022)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)A Bayesian regularized artificial neural network for stock market forecasting (2013)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Wholesale price forecasts of green grams using the neural network (2024)Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning (2021)Deep reinforcement learning for financial trading using multi-modal features (2023)Artificial intelligence techniques in financial trading: A systematic literature review (2024)Common risk factors in the returns on stocks and bonds (1993)Comparing Predictive Accuracy (1994)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Forecasting the Equity Risk Premium: The Role of Technical Indicators (2011)Investor Sentiment Aligned: A Powerful Predictor of Stock Returns (2014)Determinants of corporate borrowing (1977)Financing Constraints and Corporate Investment (1988)Do Investment-Cash Flow Sensitivities Provide Useful Measures of Financing Constraints? 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References

  • 2009Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy1,684 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,174 cited
  • 2004Forecasting stock market movement direction with support vector machine1,163 cited
  • 2016Stock market index prediction using artificial neural network423 cited
  • 2007Financial Constraints and Growth: Multinational and Local Firm Responses to Currency Depreciations362 cited
  • 2019Indian stock market prediction using artificial neural networks on tick data271 cited
  • 1990Stock price prediction using neural networks: A project report173 cited
  • 2020Price Trailing for Financial Trading Using Deep Reinforcement Learning73 cited
  • 2013Forecasting of Stock Prices Using Multi Layer Perceptron61 cited
  • 2022Fitting Multi-Layer Feed Forward Neural Network and Autoregressive Integrated Moving Average for Dhaka Stock Exchange Price Predicting51 cited
  • 2020Comparative Study of Real Time Machine Learning Models for Stock Prediction through Streaming Data29 cited

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