Browse State-of-the-Art › Text-Based Stock Prediction
Text-Based Stock Prediction
4 papers with code · 0 benchmarks · 3 datasets archive 2025-07-28
Make stock predictions based on text (e.g., news articles, twitters, etc.).
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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8 Jun 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedThis 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,…
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4 Feb 2024 1 repository listedThis survey provides a comprehensive overview of FinLLMs, including their history, techniques, performance, and opportunities and challenges.
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14 Jun 2022 1 repository listedIn addition, we propose a self-supervised learning strategy based on SRLP to enhance the out-of-distribution generalization performance of our system.
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26 May 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)In this paper, we introduce an event-driven trading strategy that predicts stock movements by detecting corporate events from news articles.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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