{"id":"W4411584440","doi":"10.1109/ickecs65700.2025.11035266","title":"Predicting Cryptocurrency Prices: A Machine Learning Approach for Investment Strategies and Market Trend Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Cryptocurrency; Investment (military); Computer science; Econometrics; Artificial intelligence; Machine learning; Economics; Computer security","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":[0.0007398345,0.000503701,0.0004877439,0.001353693,0.0002745693,0.0008658964,0.0006690367,0.0006458084,0.001126676],"category_scores_gemma":[0.002391335,0.0002043825,0.0005523581,0.001063608,0.0001973263,0.000916611,0.0003114892,0.0007644162,0.0002914934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668268,"about_ca_system_score_gemma":0.0007064423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008242277,"about_ca_topic_score_gemma":0.007538981,"domain_scores_codex":[0.9997941,0.00005725438,0.00001929054,0.0000534002,0.0000499575,0.0000260637],"domain_scores_gemma":[0.9994006,0.0003909431,0.00007585337,0.00003189053,0.00008212654,0.00001859512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001012644,0.0003335052,0.01546805,0.0001106563,0.0001572816,0.000153347,0.0001137457,0.6275132,0.002520205,0.01548744,0.002620084,0.3354213],"study_design_scores_gemma":[0.000001787127,0.000009708922,0.0004832357,0.000004184749,0.000004053048,0.000008290696,0.000006941686,0.9970937,0.000176797,0.001962489,0.0002460125,0.000002817117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08216347,0.00064273,0.9122792,0.0007508537,0.00006025151,0.00009803392,0.0004028874,0.0009577352,0.00264482],"genre_scores_gemma":[0.725126,0.000845459,0.270405,0.0001069932,0.0001157642,0.0001659852,0.0006384581,0.00005047891,0.00254591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008242277,"threshold_uncertainty_score":0.0163886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09308165195149976,"score_gpt":0.395634201407478,"score_spread":0.3025525494559782,"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."}}