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Stock Price Prediction

Stock Price Prediction is the task of forecasting future stock prices based on historical data and various market indicators. It involves using statistical models and machine learning algorithms to analyze financial data and make predictions about the future performance of a stock. The goal of stock price prediction is to help investors make informed investment decisions by providing a forecast of future stock prices.

Papers

Showing 110 of 137 papers

TitleStatusHype
Stock Price Prediction via Discovering Multi-Frequency Trading PatternsCode4
Mamba Meets Financial Markets: A Graph-Mamba Approach for Stock Price PredictionCode2
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing ModelCode2
HYPHEN: Hyperbolic Hawkes Attention For Text StreamsCode1
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRUCode1
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price PredictionCode1
A Multifactor Analysis Model for Stock Market PredictionCode1
Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernelsCode1
Deep Stock PredictionsCode1
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