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Latest papers with code

DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News

20 Dec 2019Xinyi6/DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News

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.

STOCK PREDICTION STOCK PRICE PREDICTION

28
20 Dec 2019

A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing

9 Dec 2019peanutshawny/lstm-stock-predictor

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.

SENTIMENT ANALYSIS STOCK PRICE PREDICTION

9
09 Dec 2019

Particle Filter Recurrent Neural Networks

30 May 2019Yusufma03/pfrnns

Recurrent neural networks (RNNs) have been extraordinarily successful for prediction with sequential data.

STOCK PRICE PREDICTION TEXT CLASSIFICATION

43
30 May 2019

Artificial Counselor System for Stock Investment

Proceedings of the AAAI Conference on Artificial Intelligence 2019 bghojogh/Fuzzy-Investment-Counselor

This paper proposes a novel trading system which plays the role of an artificial counselor for stock investment.

PORTFOLIO OPTIMIZATION STOCK PREDICTION STOCK PRICE PREDICTION GENERAL FINANCE COMPUTATIONAL ENGINEERING, FINANCE, AND SCIENCE GENERAL ECONOMICS ECONOMICS

3
03 Mar 2019

Neural networks for stock price prediction

29 May 2018xrndai/DeepDayTrade

Due to the extremely volatile nature of financial markets, it is commonly accepted that stock price prediction is a task full of challenge.

STOCK PRICE PREDICTION

18
29 May 2018

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns

13 Aug 2017microsoft/qlib

Then the future stock prices are predicted as a nonlinear mapping of the combination of these components in an Inverse Fourier Transform (IFT) fashion.

STOCK PRICE PREDICTION TIME SERIES

4,484
13 Aug 2017

Context-aware Frame-Semantic Role Labeling

TACL 2015 microth/mateplus

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

61
01 Jan 2015

Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence

25 Nov 2011broadinstitute/SignatureAnalyzer-GPU

This paper addresses the estimation of the latent dimensionality in nonnegative matrix factorization (NMF) with the \beta-divergence.

STOCK PRICE PREDICTION

30
25 Nov 2011