Stock Prediction Edit Task
Time Series • Stock Market Prediction
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Improving S&P stock prediction with time series stock similarity
Stock market prediction with forecasting algorithms is a popular topic these days where most of the forecasting algorithms train only on data collected on a particular stock.
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.
Ranked #1 on
Stock Price Prediction
on 2019_test set
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
• dmis-lab/hats
•
Methods that use relational data for stock market prediction have been recently proposed, but they are still in their infancy.
Artificial Counselor System for Stock Investment
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
Stock trend prediction using news sentiment analysis
The accuracy of the prediction model is more than 80% and in comparison with news random labeling with 50% of accuracy; the model has increased the accuracy by 30%.