{"id":"W2006760818","doi":"10.12735/jbm.v2i3p22","title":"Profitability of Applying Simple Moving Average Trading Rules for the Vietnamese Stock Market","year":2013,"lang":"en","type":"article","venue":"Journal of Business & Management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vietnamese; Profitability index; Stock market; Simple (philosophy); Financial economics; Stock (firearms); Econometrics; Business; Algorithmic trading; Monetary economics; Economics; Finance; Materials science; Geology","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":[0.002983541,0.0004620086,0.0005127442,0.001311324,0.0002834371,0.001057638,0.0005234919,0.0004405235,0.0006401532],"category_scores_gemma":[0.01275148,0.0001526063,0.0003554183,0.0006865973,0.000260344,0.001117139,0.0003271673,0.0003970373,0.0001408535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006547047,"about_ca_system_score_gemma":0.0007006885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296703,"about_ca_topic_score_gemma":0.007854852,"domain_scores_codex":[0.9989228,0.0002989214,0.0001463561,0.0002280937,0.0002875716,0.0001162571],"domain_scores_gemma":[0.9935575,0.004207902,0.0008772173,0.0004182434,0.0007457617,0.0001934086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000949494,0.0003470722,0.4723869,0.0001280505,0.0003876182,0.0007955685,0.0001528507,0.293637,0.003820171,0.002080764,0.001581914,0.2237327],"study_design_scores_gemma":[0.0000303316,0.0004393003,0.0685906,0.00001971755,0.0001005276,0.0002307233,0.0001178679,0.9246742,0.003752042,0.001433346,0.0005808871,0.0000304803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935175,0.0004073603,0.004370205,0.000128241,0.00003195577,0.00002305106,0.000202856,0.00005804007,0.001260736],"genre_scores_gemma":[0.9979944,0.00007767866,0.00157137,0.00001120373,0.0000107145,0.000003301042,0.0001757253,0.000003317023,0.0001522279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296703,"threshold_uncertainty_score":0.02578306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151403735700024,"score_gpt":0.2238844820427993,"score_spread":0.192370444685799,"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."}}