Stock Market Prediction
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Benchmarks
Most implemented
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
RoBERTa: A Robustly Optimized BERT Pretraining Approach
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
Revisiting Pre-Trained Models for Chinese Natural Language Processing
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
Papers
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
Financial market forecasting is inherently uncertain, yet most deep learning approaches rely on point predictions that provide only single-value estimates without quantifying uncertainty. Such predictions are insufficien…
Stock Market PredictionStock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
Stock market prediction presents considerable challenges for investors, financial institutions, and policymakers operating in complex market environments characterized by noise, non-stationarity, and behavioral dynamics.…
Stock Market PredictionSentiment AnalysisImpact of LLMs news Sentiment Analysis on Stock Price Movement Prediction
This paper addresses stock price movement prediction by leveraging LLM-based news sentiment analysis. Earlier works have largely focused on proposing and assessing sentiment analysis models and stock movement prediction …
Stock Market PredictionSentiment AnalysisA Hybrid Model for Stock Market Forecasting: Integrating News Sentiment and Time Series Data with Graph Neural Networks
Stock market prediction is a long-standing challenge in finance, as accurate forecasts support informed investment decisions. Traditional models rely mainly on historical prices, but recent work shows that financial news…
Stock Market PredictionGraph Neural NetworkQuantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
Quantum machine learning offers a promising pathway for enhancing stock market prediction, particularly under complex, noisy, and highly dynamic financial environments. However, many classical forecasting models struggle…
Quantum Machine LearningStock Market PredictionEncoder Decoder Generative Adversarial Network Model for Stock Market Prediction
Forecasting stock prices remains challenging due to the volatile and non-linear nature of financial markets. Despite the promise of deep learning, issues such as mode collapse, unstable training, and difficulty in captur…
Stock Market Prediction