{"url":"/task/stock-trend-prediction","name":"Stock Trend Prediction","slug":"stock-trend-prediction","description_markdown":null,"categories":[{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":29,"papers_with_code":15,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":4,"subtasks":1,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/stock-trend-prediction-on-fi-2010","slug":"stock-trend-prediction-on-fi-2010","dataset":"FI-2010","dataset_url":null,"rows_in_archive":1,"metrics":["Accuracy (H50)","F1 (H50)"],"first_row_in_archive_order":{"model":"BL-GAM-RHN-7","paper_title":"Recurrent Highway Networks with Grouped Auxiliary Memory","paper_url":"/paper/recurrent-highway-networks-with-grouped","paper_date":"2019-12-13","arxiv_id":null,"code_links":[{"title":"WilliamRo/gam_rhn","url":"https://github.com/WilliamRo/gam_rhn"},{"title":"MindCode-4/code-8","url":"https://github.com/MindCode-4/code-8/tree/main/recurrent-highway-network"},{"title":"MindSpore-scientific/code-5","url":"https://github.com/MindSpore-scientific/code-5/tree/main/recurrent-highway-network"},{"title":"MindCode-4/code-13","url":"https://github.com/MindCode-4/code-13/tree/main/recurrent-highway-network"}],"syntology":null}}],"datasets":[{"url":"/dataset/astock","name":"Astock","full_name":"","num_papers_in_archive":11},{"url":"/dataset/edt","name":"EDT","full_name":"","num_papers_in_archive":5},{"url":"/dataset/csi-300-pair-trading","name":"CSI 300 Pair Trading","full_name":"","num_papers_in_archive":1},{"url":"/dataset/trades-lob","name":"TRADES-LOB","full_name":"","num_papers_in_archive":1}],"subtasks":[{"url":"/task/stock-market-prediction","name":"Stock Market Prediction"}],"parent_tasks":[{"url":"/task/stock-market-prediction","name":"Stock Market Prediction"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":15,"of":15,"tagged_in_all":29,"items":[{"url":"/paper/recurrent-highway-networks-with-grouped","title":"Recurrent Highway Networks with Grouped Auxiliary Memory","date":"2019-12-13","arxiv_id":null,"repositories_listed":4,"syntology":null},{"url":"/paper/listening-to-chaotic-whispers-a-deep-learning","title":"Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction","date":"2017-12-06","arxiv_id":"1712.02136","repositories_listed":4,"syntology":{"n":6,"n_ran":5,"n_unverified":1,"n_pointer_only":6}},{"url":"/paper/stock-trend-prediction-using-news-sentiment","title":"Stock trend prediction using news sentiment analysis","date":"2016-07-07","arxiv_id":"1607.01958","repositories_listed":2,"syntology":null},{"url":"/paper/perforated-backpropagation-a-neuroscience","title":"Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks","date":"2025-01-29","arxiv_id":"2501.18018","repositories_listed":1,"syntology":null},{"url":"/paper/dynamic-graph-representation-with-contrastive","title":"Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations","date":"2024-12-05","arxiv_id":"2412.04034","repositories_listed":1,"syntology":null},{"url":"/paper/flag-financial-long-document-classification","title":"FLAG: Financial Long Document Classification via AMR-based GNN","date":"2024-10-02","arxiv_id":"2410.02024","repositories_listed":1,"syntology":null},{"url":"/paper/lsr-igru-stock-trend-prediction-based-on-long","title":"LSR-IGRU: Stock Trend Prediction Based on Long Short-Term Relationships and Improved GRU","date":"2024-08-26","arxiv_id":"2409.08282","repositories_listed":1,"syntology":{"n":9,"n_ran":9,"n_unverified":0,"n_pointer_only":9}},{"url":"/paper/alphafin-benchmarking-financial-analysis-with","title":"AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework","date":"2024-03-19","arxiv_id":"2403.12582","repositories_listed":1,"syntology":{"n":7,"n_ran":5,"n_unverified":2,"n_pointer_only":0}},{"url":"/paper/lob-based-deep-learning-models-for-stock","title":"LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study","date":"2023-07-05","arxiv_id":"2308.01915","repositories_listed":1,"syntology":null},{"url":"/paper/astock-a-new-dataset-and-automated-stock","title":"Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model","date":"2022-06-14","arxiv_id":"2206.06606","repositories_listed":1,"syntology":null},{"url":"/paper/ddg-da-data-distribution-generation-for","title":"DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation","date":"2022-01-11","arxiv_id":"2201.04038","repositories_listed":1,"syntology":null},{"url":"/paper/temporal-relational-hypergraph-tri-attention","title":"Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction","date":"2021-07-22","arxiv_id":"2107.14033","repositories_listed":1,"syntology":null},{"url":"/paper/trade-the-event-corporate-events-detection","title":"Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading","date":"2021-05-26","arxiv_id":"2105.12825","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":1}},{"url":"/paper/leveraging-financial-news-for-stock-trend","title":"Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network","date":"2018-11-15","arxiv_id":"1811.06173","repositories_listed":1,"syntology":null},{"url":"/paper/stock-movement-prediction-from-tweets-and","title":"Stock Movement Prediction from Tweets and Historical Prices","date":"2018-07-01","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":4,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}