Stock Price Prediction
Leaderboards
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
Context-aware Frame-Semantic Role Labeling
Frame semantic representations have been useful in several applications ranging from text-to-scene generation, to question answering and social network analysis.
QUESTION ANSWERING SCENE GENERATION SEMANTIC ROLE LABELING STOCK PRICE PREDICTION
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence
• broadinstitute/SignatureAnalyzer-GPU
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This paper addresses the estimation of the latent dimensionality in nonnegative matrix factorization (NMF) with the \beta-divergence.
Neural networks for stock price prediction
Due to the extremely volatile nature of financial markets, it is commonly accepted that stock price prediction is a task full of challenge.
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
• Xinyi6/DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News
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In this paper, we propose a novel deep neural network DP-LSTM for stock price prediction, which incorporates the news articles as hidden information and integrates difference news sources through the differential privacy mechanism.
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
Based on the data of 2015 to 2017, we build various predictive models using machine learning, and then use those models to predict the closing value of NIFTY 50 for the period January 2018 till June 2019 with a prediction horizon of one week.