{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01117482,0.0001665271,0.0004105059,0.0007708544,0.0002461842,0.0001129502,0.0006864124,0.00007709647,0.0004047041],"category_scores_gemma":[0.01556382,0.0001221235,0.0001555123,0.00318858,0.00007971057,0.0004375391,0.0005260693,0.0002174643,0.0000384339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002950008,"about_ca_system_score_gemma":0.00006758261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002357236,"about_ca_topic_score_gemma":0.00003284248,"domain_scores_codex":[0.9963108,0.0004487059,0.0008761353,0.0004984451,0.001454851,0.0004110752],"domain_scores_gemma":[0.9917502,0.00681571,0.0005307533,0.0004362055,0.0003665303,0.0001005864],"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":[0.00006660602,0.00002723038,0.0494559,0.00002687326,0.00003541679,0.0000156646,0.001427455,0.6129613,0.003900204,0.001649663,0.000545235,0.3298885],"study_design_scores_gemma":[0.0001583424,0.00005026953,0.0009909152,0.00002758486,0.000009325927,0.00001690517,0.0004295276,0.9635427,0.001082391,0.03310325,0.0004554545,0.0001333218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7503766,0.00005357828,0.2189279,0.00005189131,0.0002714919,0.0001591242,0.000004288879,0.0001863562,0.02996875],"genre_scores_gemma":[0.8016853,0.000002757051,0.1932879,0.00001898186,0.00005613943,0.000004196768,0.000001828913,0.0000264944,0.004916433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3505814,"threshold_uncertainty_score":0.9927285,"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."}}