{"id":"W2006323680","doi":"10.3390/jrfm7010001","title":"Revisiting the Performance of MACD and RSI Oscillators","year":2014,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technical analysis; Stock exchange; Index (typography); Stock market index; Composite index; Econometrics; Moving average; Stock (firearms); Financial economics; Economics; Mathematics; Business; Statistics; Computer science; Stock market; Finance; Engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122518,0.00009651972,0.0003033052,0.0001361554,0.0001498578,0.00004385643,0.000122702,0.00003601169,0.00001153987],"category_scores_gemma":[0.0001100838,0.00007268877,0.00006403765,0.0001254688,0.000100934,0.000171463,0.00006841181,0.0001267476,0.000002800102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275655,"about_ca_system_score_gemma":0.000005853671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002471913,"about_ca_topic_score_gemma":0.000001372827,"domain_scores_codex":[0.9991157,0.00001934416,0.0005607895,0.0001177399,0.0000511271,0.0001352905],"domain_scores_gemma":[0.9990705,0.0000512413,0.0006973671,0.0001131196,0.00003067982,0.00003714683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005282224,0.00001614372,0.1958079,0.0001655322,0.00002066842,0.000002033679,0.0003347576,0.00003921556,0.000002716678,0.606674,0.0002613605,0.1966228],"study_design_scores_gemma":[0.0004661786,0.000205422,0.7724457,0.00009894202,0.00002231611,0.000006422484,0.0001136412,0.0005162941,0.00001326386,0.02558271,0.2004156,0.0001135446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848769,0.003584408,0.001464623,0.0002093999,0.0002777091,0.00008228792,0.000007359463,0.00000286999,0.009494402],"genre_scores_gemma":[0.9842368,0.01463764,0.0006846313,0.0001096747,0.0002477188,0.00000136257,2.20035e-7,0.000006221841,0.00007575132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5810913,"threshold_uncertainty_score":0.2964162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008944103826167974,"score_gpt":0.1792097549994616,"score_spread":0.1702656511732936,"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."}}