{"id":"W2610313537","doi":"10.5539/ibr.v10n6p1","title":"The Effectiveness of the Elliott Waves Theory to Forecast Financial Markets: Evidence from the Currency Market","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Currency; Liberian dollar; Economics; Financial market; Exchange rate; Us dollar; Technical analysis; Financial economics; Foreign exchange market; Monetary economics; Finance","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":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08703369,0.0002025942,0.0002818972,0.0002253926,0.002448958,0.001627128,0.01258658,0.00009917645,0.0006743275],"category_scores_gemma":[0.5355289,0.00008724278,0.0002050606,0.001251882,0.001649187,0.0005714342,0.003907308,0.0006226585,0.00009837352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001515805,"about_ca_system_score_gemma":0.000585164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006230247,"about_ca_topic_score_gemma":0.0003173111,"domain_scores_codex":[0.9822066,0.01046403,0.0007203878,0.0007370412,0.00533873,0.0005332014],"domain_scores_gemma":[0.8200555,0.171141,0.0004802213,0.002908165,0.005321594,0.00009353648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006420852,0.00008797309,0.3348428,0.00002216094,0.00008420401,0.000009856321,0.0004295867,0.00007652552,0.001378948,0.007271091,0.04175328,0.6076227],"study_design_scores_gemma":[0.0001750468,0.00001867919,0.8021206,0.0006123946,0.000005250409,0.000005200022,0.00007838378,0.0005231113,0.0008853088,0.1721187,0.02336898,0.00008827334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891117,0.0009657982,0.02338199,0.02527832,0.01056888,0.002026329,0.0002399613,0.00002517353,0.04840183],"genre_scores_gemma":[0.9931733,0.0001173758,0.00069617,0.00006137416,0.0006467979,0.0001690529,0.000001340357,0.0000205741,0.00511401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6075344,"threshold_uncertainty_score":0.9994093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2325971153833678,"score_gpt":0.5033591594654816,"score_spread":0.2707620440821138,"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."}}