{"id":"W4378191509","doi":"10.1109/syscon53073.2023.10131091","title":"Forecasting of Stock Prices Using Machine Learning Models","year":2023,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College; Langara College","funders":"","keywords":"Computer science; Machine learning; Stock (firearms); Econometrics; Technical analysis; Artificial intelligence; Stock market; Inference; Volatility (finance); Context (archaeology); Economics; Financial economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000713073,0.000619042,0.0006196133,0.0008527986,0.0002350105,0.001108367,0.0006805242,0.0006532948,0.001159834],"category_scores_gemma":[0.003003512,0.0002796582,0.0006204223,0.0008396484,0.0002150917,0.001061527,0.0003014958,0.0008748781,0.0005207863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000611883,"about_ca_system_score_gemma":0.0004774755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008542113,"about_ca_topic_score_gemma":0.008253413,"domain_scores_codex":[0.999648,0.000103555,0.00003656959,0.00007050237,0.0001128533,0.00002849202],"domain_scores_gemma":[0.9988604,0.0007881761,0.0001246891,0.00007328168,0.0001313012,0.00002222365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003219166,0.00005839221,0.003748103,0.00003909463,0.00005585571,0.00004243876,0.00002172017,0.9569837,0.001029023,0.001603541,0.0005219491,0.035864],"study_design_scores_gemma":[0.0000013892,0.000004545329,0.0002757641,0.000002161556,0.000001844627,0.000002422925,0.000002309499,0.9987432,0.0001383871,0.000733855,0.00009191853,0.000002223128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2973635,0.001348357,0.6904371,0.001049002,0.0001607135,0.0001387218,0.0009077371,0.002545871,0.00604908],"genre_scores_gemma":[0.8862165,0.0005719444,0.1102347,0.00008205147,0.0001019885,0.00007937555,0.0008800945,0.00004184776,0.001791548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008542113,"threshold_uncertainty_score":0.01698482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5180881711829068,"score_gpt":0.4513779510177802,"score_spread":0.06671022016512662,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}