{"id":"W7107855824","doi":"10.4236/ti.2025.164013","title":"Flexible Stock Market Algorithm","year":2025,"lang":"","type":"article","venue":"Technology and Investment","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research University Higher School of Economics","keywords":"Stock (firearms); Algorithmic trading; Stock market; Trading strategy; Stock exchange; Stock trading","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001291963,0.0007424053,0.001088195,0.001237926,0.0006377344,0.001590625,0.001847023,0.001365773,0.005773074],"category_scores_gemma":[0.004418678,0.0003291781,0.0007294004,0.001560559,0.0005054351,0.001741972,0.001204115,0.0009383421,0.001464572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005087124,"about_ca_system_score_gemma":0.001507726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004306164,"about_ca_topic_score_gemma":0.002415424,"domain_scores_codex":[0.9993081,0.0001182034,0.00006433639,0.0001640941,0.0002369266,0.0001083028],"domain_scores_gemma":[0.9989681,0.0004644598,0.0001048716,0.0001427502,0.0002738422,0.00004582799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002751388,0.0001195663,0.003057946,0.00008723353,0.00009016232,0.0001754409,0.00007846829,0.4605168,0.002300227,0.03107734,0.00622681,0.4959948],"study_design_scores_gemma":[0.0000375117,0.00002725461,0.0002237879,0.000006822852,0.000007778695,0.00004757863,0.000009719431,0.9873174,0.00063676,0.01025285,0.001425075,0.000007439903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02621453,0.0003533469,0.9677009,0.0002508438,0.00009934552,0.0001834005,0.0002917923,0.0009264746,0.003979415],"genre_scores_gemma":[0.4332156,0.000398877,0.5563781,0.0002905527,0.0001391541,0.0004546325,0.001462826,0.000141769,0.007518388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005773074,"threshold_uncertainty_score":0.01931286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108604023602292,"score_gpt":0.3744482108813212,"score_spread":0.3233621706452983,"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."}}