This is the project for deep learning in stock market prediction.
Financial Time Series Forecasting--A Deep Learning Approach
- Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach (AAAI 2020)
- Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework (AAAI 2020)
- Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (IJCAI 2020)
- Multi-scale Two-way Deep Neural Network for Stock Trend Prediction (IJCAI 2020)
- Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (IJCAI 2020)
- CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets (IJCAI 2019)
- Enhancing Stock Movement Prediction with Adversarial Training (IJCAI 2019)
- Temporal Relational Ranking for Stock Prediction (TOIS 2019)
- Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (KDD 2017)
- Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis (NeurIPS 2019)
- Transformer-Based Capsule Network For Stock Movement Prediction (IJCAI 2019)
- Enhancing Stock Movement Prediction with Adversarial Training (IJCAI 2019)
- Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (WWW 2019)
- Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction (CIKM 2018)
- Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News (CIKM 2018)
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (WSDM 2018)
- Cross-domain Deep Learning Approach for Multiple Financial Market Prediction (IJCNN 2018)
- Stacked Denoising Autoencoder Based Stock Market Trend Prediction via K-Nearest Neighbour Data Selection (ICONIP 2017)
- A Multi-indicator Feature Selection for CNN-Driven Stock Index Prediction (ICONIP 2018)
- Deep Learning for Event-Driven Stock Prediction (IJCAI 2015)
- EAN: Event Attention Network for Stock Price Trend Prediction based on Sentimental Embedding
- Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach
- Financial series prediction using Attention LSTM
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
- A Numerical-Based Attention Method for Stock Market Prediction With Dual Information
- Forecasting the Dubai financial market with a combination of momentum effect with a deep belief network
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
- Is Deep Learning for Image Recognition Applicable to Stock Market Prediction
- Stock price forecasting model based on modified convolution neural network and financial time series analysis
- Stock price prediction using lstm, rnn and cnn-sliding window model
- A deep increasing-decreasing-linear neural network for financial time series prediction
- A Bayesian regularized artificial neural network for stock market forecasting
- A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction
- Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index 鈥?Case study of PETR4, Petrobras, Brazil
- Evaluating multiple classifiers for stock price direction prediction
- Forecasting daily stock market return using dimensionality reduction
- Forecasting S&P 500 index using artificial neural networks and design of experiments
- Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks
- Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
- Predicting the direction of stock markets using optimized neural networks with Google Trends
- Stock market one-day ahead movement prediction using disparate data sources
- Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach
- Stock prediction using deep learning
- Using structured events to predict stock price movement: An empirical investigation (EMNLP 2014)
- Stock Market Prediction Based on Generative Adversarial Network
- Stock Movement Prediction from Tweets and Historical Prices
- Stock Price Prediction by Deep Neural Generative Model of News Articles
- Data Augmentation Based Stock Trend Prediction Using Self-organising Map
- A deep learning framework for financial time series using stacked autoencoders and long-short term memory
- AdaBoost-based long short-term memory ensemble learning approach for financial time series forecasting
- Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators
- Deep learning-based feature engineering for stock price movement prediction
- Financial time series forecasting model based on CEEMDAN and LSTM
- Hybrid Deep Learning Model for Stock Price Prediction
- Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction
- Predicting stock market index using fusion of machine learning techniques
- Stock Market Prediction Based on Historic Prices and News Titles
- Stock Price Prediction Using Time Convolution Long Short-Term Memory Network
- Stock Trends Forecasting by Multi-layer Stochastic ANN Bagging
- Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction
- Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
- A Comparison of ARIMA and LSTM in Forecasting Time Series
- A Tensor-based eLSTM Model to Predict Stock Price using Financial News
- A Tensor-Based Sub-Mode Coordinate Algorithm for Stock Prediction
- An innovative neural network approach for stock market prediction
- Application of LSTM, GRU and ICA for Stock Price Prediction
- Deep learning with long short-term memory networks for financial market predictions
- Evaluation of Bidirectional LSTM for Short- and Long-Term Stock Market Prediction
- Financial Time Series Prediction Based on Deep Learning
- Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction
- Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators
- LSTM with Wavelet Transform Based Data Preprocessing for Stock Price Prediction
- ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module
- Stock Market Forecast Using Multivariate Analysis with Bidirectional and Stacked (LSTM, GRU)
- Time-weighted LSTM Model with Redefined Labeling for Stock Trend Prediction
- Combining Enterprise Knowledge Graph and News Sentiment Analysis for Stock Price Volatility Prediction
- Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network
- Deep learning for stock market prediction from financial news articles
- Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction
- Multi-task Recurrent Neural Networks and Higher-order Markov Random Fields for Stock Price Movement Prediction
- Recurrent Neural Networks for Financial Time-Series Modelling
- Exploiting intra-day patterns for market shock prediction: A machine learning approach
- Temporal attention-augmented bilinear network for financial time-series data analysis
- DeepLOB: Deep Convolutional Neural Networks for Limit Order Books
- Forecasting Stock Prices from the Limit Order Book using Convolutional Neural Networks
- A Double-Layer Neural Network Framework for High-Frequency Forecasting
- Stock Market Prediction on High-Frequency Data Using Generative Adversarial Nets
- Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data
- Which artificial intelligence algorithm better predicts the Chinese stock market
- An Ensemble of LSTM Neural Networks for High-Frequency Stock Market Classification
- A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features
- CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction
- Predicting Indian stock market using the psycho-linguistic features of financial news
- Multi-Scale RCNN Model for Financial Time-series Classification
- A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
- Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network
- Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks
- CNNpred: CNN-based stock market prediction using a diverse set of variables
- DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
- Forecasting of Bahrain Stock Market with Deep Learning: Methodology and Case Study
- Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
- Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks
- Using Deep Learning to Detect Price Change Indications in Financial Markets
- Ensemble Application of Transfer Learning and Sample Weighting for Stock Market Prediction
- A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning
- U-CNNpred: A Universal CNN-based Predictor for Stock Markets
- Exploring the attention mechanism in LSTM-based Hong Kong stock price movement prediction
- Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms
- An Effective Time Series Analysis for Equity Market Prediction Using Deep Learning Model
- Time series prediction of stock price using deep belief networks with Intrinsic Plasticity
- Predict Stock Price with Financial News Based on Recurrent Convolutional Neural Networks
- Sentiment-Aware Stock Market Prediction: A Deep Learning Method
- A Deep Learning Model for Predicting Buy and Sell Recommendations in Stock Exchange of Thailand using Long Short-Term Memory
- Combining the Real-Time Wavelet Denoising and Long-Short-Term-Memory Neural Network for Predicting Stock Indexes
- Stock Market Index Prediction Using Deep Neural Network Ensemble
- Predicting Stock Prices Using Dynamic LSTM Models
- Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction
- Stock closing price prediction based on sentiment analysis and LSTM
- Leveraging social media news to predict stock index movement using RNN-boost
- EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction
- Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
- A New Model for Stock Price Movements Prediction Using Deep Neural Network
- Stock Price Prediction Using News Sentiment Analysis
- Study on the prediction of stock price based on the associated network model of LSTM
- Stock market's price movement prediction with LSTM neural networks
- A Hybrid Attention-Based EMD-LSTM Model for Financial Time Series Prediction
- Applied attention-based LSTM neural networks in stock prediction
- Restricted Boltzmann Machines for the Prediction of Trends in Financial Time Series