{"id":"W4416440953","doi":"10.33423/jabe.v27i6.7961","title":"An End-To-End LLM Enhanced Trading System","year":2025,"lang":"","type":"article","venue":"Journal of Applied Business and Economics","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Algorithmic trading; Scalability; Trading strategy; Technical analysis; Core (optical fiber); Investment (military); Financial market; Key (lock)","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":[0.0007771049,0.0007247598,0.0005574339,0.0006374682,0.0003001756,0.001512154,0.001231377,0.0006993342,0.00713857],"category_scores_gemma":[0.002872958,0.0003489622,0.0004095467,0.0003377034,0.0002081427,0.00183305,0.001602267,0.0008865775,0.004246105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529645,"about_ca_system_score_gemma":0.000450096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007539579,"about_ca_topic_score_gemma":0.0008592415,"domain_scores_codex":[0.9994753,0.00008739802,0.00005786306,0.0001477926,0.0001871016,0.00004456742],"domain_scores_gemma":[0.9993271,0.0002161403,0.00006232397,0.0001883847,0.0001528017,0.00005331644],"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":[0.002664354,0.001050856,0.01431461,0.0005577572,0.0003063059,0.002301143,0.0006978987,0.06573995,0.1338231,0.01674364,0.09510455,0.6666959],"study_design_scores_gemma":[0.0001267995,0.000150536,0.001889095,0.00002478989,0.00003781612,0.0002767954,0.00006531866,0.9298913,0.03258752,0.01138825,0.02349797,0.00006376917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04696243,0.0002072022,0.7466711,0.0005098503,0.000191409,0.0002939222,0.003512333,0.1930923,0.008559498],"genre_scores_gemma":[0.5697347,0.0001504915,0.4004852,0.0009340421,0.000106415,0.0004272141,0.01122401,0.004573243,0.01236469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00713857,"threshold_uncertainty_score":0.02388096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371534733983281,"score_gpt":0.3241694079910956,"score_spread":0.2804540606512628,"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."}}