{"id":"W4226313705","doi":"10.2139/ssrn.4028045","title":"Fast and Furious: An Intraday Analysis of Robinhood Users’ Trading Behavior","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gambling Behavior and Treatments","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Business; Econometrics; Advertising; 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":[0.0009632036,0.0001676267,0.000292257,0.0007730994,0.0003770271,0.0008016855,0.0002795244,0.000398752,0.00255533],"category_scores_gemma":[0.005086123,0.0001322393,0.0003117301,0.0006921533,0.0001984395,0.0006174672,0.0004018513,0.0006905787,0.0004440319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181012,"about_ca_system_score_gemma":0.0001757087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005214715,"about_ca_topic_score_gemma":0.006632653,"domain_scores_codex":[0.9996976,0.0001482753,0.0000208342,0.0000505217,0.00005197567,0.00003079541],"domain_scores_gemma":[0.9948722,0.003171661,0.0008778178,0.0003227322,0.0003096088,0.0004459647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002174109,0.0005910702,0.9642538,0.00003754774,0.0003147682,0.0002377448,0.001372911,0.002496949,0.003654617,0.001617425,0.001047605,0.02220141],"study_design_scores_gemma":[0.00001228708,0.0003914237,0.9745489,0.000008942036,0.00006602117,0.000203326,0.001015968,0.02202699,0.0005688134,0.000472624,0.0006591165,0.00002568824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990361,0.00002038394,0.0002626928,0.0000202992,0.000002609435,0.000004690617,0.0001571872,0.000005411538,0.0004906129],"genre_scores_gemma":[0.9988104,0.00001798394,0.0003215874,0.000007214562,0.000005287315,0.000006092956,0.0002990668,0.000004922767,0.0005274593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005214715,"threshold_uncertainty_score":0.01036876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412312863503934,"score_gpt":0.3394334859323137,"score_spread":0.3053103572972743,"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."}}