{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:OUP2Y6OYV7ANFNLJMPGKBTF2GX","short_pith_number":"pith:OUP2Y6OY","schema_version":"1.0","canonical_sha256":"751fac79d8afc0d2b56963cca0ccba35cc74e107dcc0444c00e08f0be4710e86","source":{"kind":"arxiv","id":"1309.7119","version":3},"attestation_state":"computed","paper":{"title":"Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-fin.ST"],"primary_cat":"cs.CE","authors_text":"Yanshan Wang","submitted_at":"2013-09-27T05:35:50Z","abstract_excerpt":"The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Many stock prediction studies focus on using macroeconomic indicators, such as CPI and GDP, to train the prediction model. However, daily data of the macroeconomic indicators are almost impossible to obtain. Thus, those methods are difficult to be employed in practice. In this paper, we propose a method that directly uses prices data to predict market index direction and stock price direction. An extensive "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1309.7119","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2013-09-27T05:35:50Z","cross_cats_sorted":["cs.LG","q-fin.ST"],"title_canon_sha256":"b685aedbfa85fe9509921366f0cf0c0023b5454130e18283c3cc664f3b3f187d","abstract_canon_sha256":"543b0b1525c02ca7b968b2646a5e4884430b0cb0d0eb4f0d1ad51efa2a298db5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:16.083851Z","signature_b64":"w+DIF+APMNF1AQyqyaCwxmQvLLY4fF0va4mRvdrpdNp4+AjqCrtG9dFRjwyv5BEW92aa/bX4SCqmzbf4x9h2Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"751fac79d8afc0d2b56963cca0ccba35cc74e107dcc0444c00e08f0be4710e86","last_reissued_at":"2026-05-18T00:53:16.083394Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:16.083394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-fin.ST"],"primary_cat":"cs.CE","authors_text":"Yanshan Wang","submitted_at":"2013-09-27T05:35:50Z","abstract_excerpt":"The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. Many stock prediction studies focus on using macroeconomic indicators, such as CPI and GDP, to train the prediction model. However, daily data of the macroeconomic indicators are almost impossible to obtain. Thus, those methods are difficult to be employed in practice. In this paper, we propose a method that directly uses prices data to predict market index direction and stock price direction. An extensive "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1309.7119","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1309.7119","created_at":"2026-05-18T00:53:16.083461+00:00"},{"alias_kind":"arxiv_version","alias_value":"1309.7119v3","created_at":"2026-05-18T00:53:16.083461+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1309.7119","created_at":"2026-05-18T00:53:16.083461+00:00"},{"alias_kind":"pith_short_12","alias_value":"OUP2Y6OYV7AN","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_16","alias_value":"OUP2Y6OYV7ANFNLJ","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_8","alias_value":"OUP2Y6OY","created_at":"2026-05-18T12:27:54.935989+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX","json":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX.json","graph_json":"https://pith.science/api/pith-number/OUP2Y6OYV7ANFNLJMPGKBTF2GX/graph.json","events_json":"https://pith.science/api/pith-number/OUP2Y6OYV7ANFNLJMPGKBTF2GX/events.json","paper":"https://pith.science/paper/OUP2Y6OY"},"agent_actions":{"view_html":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX","download_json":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX.json","view_paper":"https://pith.science/paper/OUP2Y6OY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1309.7119&json=true","fetch_graph":"https://pith.science/api/pith-number/OUP2Y6OYV7ANFNLJMPGKBTF2GX/graph.json","fetch_events":"https://pith.science/api/pith-number/OUP2Y6OYV7ANFNLJMPGKBTF2GX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX/action/storage_attestation","attest_author":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX/action/author_attestation","sign_citation":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX/action/citation_signature","submit_replication":"https://pith.science/pith/OUP2Y6OYV7ANFNLJMPGKBTF2GX/action/replication_record"}},"created_at":"2026-05-18T00:53:16.083461+00:00","updated_at":"2026-05-18T00:53:16.083461+00:00"}