Text-Based Stock Prediction
4 papers with code • 0 benchmarks • 2 datasets
Make stock predictions based on text (e.g., news articles, twitters, etc.).
Benchmarks
These leaderboards are used to track progress in Text-Based Stock Prediction
Astock
Most implemented papers
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance
This paper introduces PIXIU, a comprehensive framework including the first financial LLM based on fine-tuning LLaMA with instruction data, the first instruction data with 136K data samples to support the fine-tuning, and an evaluation benchmark with 5 tasks and 9 datasets.
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading
Zhihan1996/TradeTheEvent
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Findings (ACL) 2021
In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles.
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
jinanzou/astock
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In addition, we propose a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of our system.
A Survey of Large Language Models in Finance (FinLLMs)
This survey provides a comprehensive overview of FinLLMs, including their history, techniques, performance, and opportunities and challenges.
