# Stock Trend Prediction on Astock 2020-10-01 to 2020-12-31 (test) Source: [Stock Trend Prediction on Astock 2020-10-01 to 2020-12-31 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:29:29.191Z Evaluation of stock trend prediction models using the test split of Astock data covering Q4 2020 (October 1st to December 31st), assessed using classification metrics like Accuracy and F1 Score. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Stock trend prediction | | Dataset (including any stated split) | Astock 2020-10-01 to 2020-12-31 (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 19 of 19 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Accuracy](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [Precision](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | SRL & SDPG & Factors | 75.4 | Not recorded | 68fa72611e209131cea560ee | | SDPG & Factors | 73.12 | Not recorded | 68fa72611e209131cea560ee | | SRL & Factors | 69.48 | Not recorded | 68fa72611e209131cea560ee | | Chinese Pert Large | 67.37 | Not recorded | 68fa72611e209131cea560ee | | Self-supervised SRLP | 66.89 | Not recorded | 68fa72611e209131cea560ee | | Chinese Lert Large | 66.36 | Not recorded | 68fa72611e209131cea560ee | | SRL&SDPG | 66.1 | Not recorded | 68fa72611e209131cea560ee | | Chinese Pert Large | 65.09 | Not recorded | 68fa72611e209131cea560ee | | Chinese Lert Large | 64.37 | Not recorded | 68fa72611e209131cea560ee | | Factors only | 63.74 | Not recorded | 68fa72611e209131cea560ee | | Self-supervised SRLP | 62.97 | Not recorded | 68fa72611e209131cea560ee | | ROBERTA WWM Ext | 62.49 | Not recorded | 68fa72611e209131cea560ee | | ROBERTA WWM Ext | 61.34 | Not recorded | 68fa72611e209131cea560ee | | XLNET Chinese | 61.14 | Not recorded | 68fa72611e209131cea560ee | | ERNIE-SKEP | 60.66 | Not recorded | 68fa72611e209131cea560ee | | Self-supervised SRLP | 59.76 | Not recorded | 68fa72611e209131cea560ee | | Bert Chinese | 59.11 | Not recorded | 68fa72611e209131cea560ee | | HAN Stock | 57.35 | Not recorded | 68fa72611e209131cea560ee | | StockNet | 46.72 | Not recorded | 68fa72611e209131cea560ee | ### SRL & SDPG & Factors Accuracy: 75.4. Result ID: 699234023a6c3148490d4986. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Ours","Resource":"News+Factors"}. This record does not assert independent reproduction. ### SDPG & Factors Accuracy: 73.12. Result ID: 699234023a6c3148490d4985. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Ours","Resource":"News+Factors"}. This record does not assert independent reproduction. ### SRL & Factors Accuracy: 69.48. Result ID: 699234023a6c3148490d4984. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Ours","Resource":"News+Factors"}. This record does not assert independent reproduction. ### Chinese Pert Large Accuracy: 67.37. Result ID: 699234023a6c3148490d497e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Arxiv 2022","Resource":"News+Factors"}. This record does not assert independent reproduction. ### Self-supervised SRLP Accuracy: 66.89. Result ID: 699234023a6c3148490d4981. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"FinNLP 2022","Resource":"News+Factors"}. This record does not assert independent reproduction. ### Chinese Lert Large Accuracy: 66.36. Result ID: 699234023a6c3148490d497c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Arxiv 2022","Resource":"News+Factors"}. This record does not assert independent reproduction. ### SRL&SDPG Accuracy: 66.1. Result ID: 699234023a6c3148490d4983. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Ours","Resource":"News"}. This record does not assert independent reproduction. ### Chinese Pert Large Accuracy: 65.09. Result ID: 699234023a6c3148490d497d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Arxiv 2022","Resource":"News"}. This record does not assert independent reproduction. ### Chinese Lert Large Accuracy: 64.37. Result ID: 699234023a6c3148490d497b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Arxiv 2022","Resource":"News"}. This record does not assert independent reproduction. ### Factors only Accuracy: 63.74. Result ID: 699234023a6c3148490d4982. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"Ours","Resource":"Factors"}. This record does not assert independent reproduction. ### Self-supervised SRLP Accuracy: 62.97. Result ID: 699234023a6c3148490d4980. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"FinNLP 2022","Resource":"News"}. This record does not assert independent reproduction. ### ROBERTA WWM Ext Accuracy: 62.49. Result ID: 699234023a6c3148490d497a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"EMNLP 2020","Resource":"News+Factors"}. This record does not assert independent reproduction. ### ROBERTA WWM Ext Accuracy: 61.34. Result ID: 699234023a6c3148490d4979. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"EMNLP 2020","Resource":"News"}. This record does not assert independent reproduction. ### XLNET Chinese Accuracy: 61.14. Result ID: 699234023a6c3148490d4978. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"EMNLP 2020","Resource":"News"}. This record does not assert independent reproduction. ### ERNIE-SKEP Accuracy: 60.66. Result ID: 699234023a6c3148490d4977. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"ACL 2020","Resource":"News"}. This record does not assert independent reproduction. ### Self-supervised SRLP Accuracy: 59.76. Result ID: 699234023a6c3148490d497f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Reference":"FinNLP 2022","Resource":"Factors"}. This record does not assert independent reproduction. ### Bert Chinese Accuracy: 59.11. Result ID: 699234023a6c3148490d4976. [Reporting paper]() Recorded evaluation configuration: {"Reference":"ACL 2019","Resource":"News"}. This record does not assert independent reproduction. ### HAN Stock Accuracy: 57.35. Result ID: 699234023a6c3148490d4975. [Reporting paper]() Recorded evaluation configuration: {"Reference":"WSDM 2018","Resource":"News"}. This record does not assert independent reproduction. ### StockNet Accuracy: 46.72. Result ID: 699234023a6c3148490d4974. [Reporting paper]() Recorded evaluation configuration: {"Reference":"ACL 2018","Resource":"News"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.