Papers with Code 아카이브
Stock Trend Prediction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 1
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks
Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images
Comparative Analysis of LSTM, GRU, and Transformer Models for Stock Price Prediction
Leveraging Fundamental Analysis for Stock Trend Prediction for Profit
FLAG: Financial Long Document Classification via AMR-based GNN
LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU
Enhancing Few-Shot Stock Trend Prediction with Large Language Models
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework
Microstructure-Empowered Stock Factor Extraction and Utilization
LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study
Support for Stock Trend Prediction Using Transformers and Sentiment Analysis
Stock Trend Prediction: A Semantic Segmentation Approach
Factor Investing with a Deep Multi-Factor Model
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Dynamic Inference
FinRL-Podracer: High Performance and Scalable Deep Reinforcement Learning for Quantitative Finance
Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading
Recurrent Highway Networks with Grouped Auxiliary Memory
Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network
Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network
Dynamic Advisor-Based Ensemble (dynABE): Case study in stock trend prediction of critical metal companies
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction
Stock trend prediction using news sentiment analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.