stock-prediction

Text-Based Stock Prediction

3260 papers • 126 benchmarks • 313 datasets

Make stock predictions based on text (e.g., news articles, twitters, etc.).

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in stock-prediction

Trend

Dataset

Best Model

Actions

Astock

Libraries

i

Use these libraries to find stock-prediction models and implementations

Datasets

EDT

Astock

Subtasks

No subtasks available.

Most implemented papers

Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading

Zhihan Zhou, Li-Qian Ma, Han Liu•Tue May 25 2021

An event-driven trading strategy that predicts stock movements by detecting corporate events from news articles and developing an elaborately-annotated dataset EDT for corporate event detection and news-based stock prediction benchmark is introduced.

58

Content

0

Paper Graph

Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model

Javen Qinfeng Shi, Lingqiao Liu, Jinan Zou, Hai Cao, Yuhao Lin, Ehsan Abbasnejad•Mon Jun 13 2022

A platform to study the NLP-aided stock auto-trading algorithms systematically and proposes a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of the system.

23 0

Paper Graph

Adding a benchmark result helps the community track progress.