{"id":98918,"date":"2026-10-18T16:40:54","date_gmt":"2026-10-18T13:40:54","guid":{"rendered":"https:\/\/twodots.gr\/?p=98918"},"modified":"2026-10-18T16:40:55","modified_gmt":"2026-10-18T13:40:55","slug":"llm-limit-order-books-sosti-syntaksi-provlepsi","status":"publish","type":"post","link":"https:\/\/twodots.gr\/de\/llm-limit-order-books-sosti-syntaksi-provlepsi\/","title":{"rendered":"LLM \u03ba\u03b1\u03b9 limit order books: \u03c3\u03c9\u03c3\u03c4\u03ae \u03c3\u03cd\u03bd\u03c4\u03b1\u03be\u03b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7"},"content":{"rendered":"<p>\u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03ae\u03c2 \u03bd\u03bf\u03b7\u03bc\u03bf\u03c3\u03cd\u03bd\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03ac\u03c8\u03bf\u03b3\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ce\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03bb\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9, \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bb\u03b1\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u00abDo LLMs Understand Limit Order Book Dynamics?\u00bb \u03c4\u03c9\u03bd Junxiao Chen \u03ba\u03b1\u03b9 Paul Glasserman \u03b1\u03c0\u03cc \u03c4\u03bf Columbia Business School. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b1\u03bd transformer \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/synthetika-dedomena-kanones-egkyro-oxi-panta-realistiko\/\">\u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/a> limit order book \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c5\u03c0\u03ad\u03b2\u03b1\u03bb\u03b1\u03bd \u03c3\u03b5 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c0\u03bf\u03c5 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03b5\u03c0\u03b1\u03b3\u03b3\u03b5\u03bb\u03bc\u03b1\u03c4\u03af\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03bf\u03cd\u03bd AI \u03c3\u03b5 finance, forecasting, pricing, <a href=\"https:\/\/twodots.gr\/analytics-platforms-data-decisions\/\">Analytik<\/a> \u03ae \u03ac\u03bb\u03bb\u03b5\u03c2 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b5\u03c2, \u03c4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03be\u03af\u03b1. \u0397 \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03bf\u03c1\u03b1\u03c4\u03cc task \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf downstream \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c1\u03af\u03c3\u03ba\u03bf \u03ae \u03bd\u03b1 \u03c0\u03ac\u03c1\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u00ab\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf output;\u00bb, \u03b1\u03bb\u03bb\u03ac \u00ab\u03ad\u03c7\u03b5\u03b9 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2;\u00bb.<\/p>\n<div class=\"td-note\">\n<p class=\"td-note-title\">\u0397 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7<\/p>\n<p>\u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b3\u03b9\u03b1 LLM \u03ba\u03b1\u03b9 limit order books, \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c4\u03c9\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd events \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2. \u0393\u03b9\u03b1 forecasting \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 calibration, \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03b9\u03b4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7 \u03c4\u03b7\u03c2 <a href=\"https:\/\/twodots.gr\/ai-finds-a-way-techniti-noimosyni-aprovlepti-symperifora\/\">\u03b1\u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c0\u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b5\u03bd\u03cc\u03c2 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2<\/a> \u03ad\u03be\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf metric \u03c3\u03c4\u03bf \u03bf\u03c0\u03bf\u03af\u03bf \u03c6\u03b1\u03b9\u03bd\u03cc\u03c4\u03b1\u03bd \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1<\/div>\n<ul>\n<li><a href=\"#ti-einai-limit-order-book\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 limit order book \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03c4\u03b5\u03c3\u03c4 \u03b3\u03b9\u03b1 AI<\/a><\/li>\n<li><a href=\"#ekpaidefsi-transformer-montela\">\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7: \u03c4\u03c1\u03af\u03b1 transformer \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c4\u03cd\u03c0\u03bf\u03b9 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ce\u03bd<\/a><\/li>\n<li><a href=\"#egkyres-akolouthies\">\u03a4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03ce\u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1: \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03ac\u03c8\u03bf\u03b3\u03b5\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#compression-test-istorias\">Compression test: \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03be\u03b5\u03c7\u03ac\u03c3\u03b5\u03b9<\/a><\/li>\n<li><a href=\"#kernel-level-tv\">Kernel-level TV: \u03c0\u03cc\u03c3\u03bf \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bb\u03b7\u03b8\u03b9\u03bd\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae<\/a><\/li>\n<li><a href=\"#history-level-tv\">History-level TV: \u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b1\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#regressions-pseftiko-sima\">\u039f\u03b9 regressions \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c0\u03bf\u03cd \u03b3\u03b5\u03bd\u03bd\u03b9\u03ad\u03c4\u03b1\u03b9 \u03c4\u03bf \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf \u03c3\u03ae\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#klimakosi-esoteriki-katastasi\">\u0397 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03b9\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7<\/a><\/li>\n<li><a href=\"#ai-trading-chrimatooikonomikes-apofaseis\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03b3\u03b9\u03b1 AI \u03c3\u03b5 trading \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#evaluation-ai-forecaster\">\u03a0\u03ce\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf evaluation \u03b5\u03bd\u03cc\u03c2 AI forecaster<\/a><\/li>\n<li><a href=\"#efarmogi-pera-apo-agores\">\u0397 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ad\u03c2<\/a><\/li>\n<li><a href=\"#oria-meletis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b5\u03c5\u03c1\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd<\/a><\/li>\n<li><a href=\"#symperasma-demo-katanoisi\">\u03a3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03c4\u03bf \u03ba\u03b1\u03bb\u03cc demo \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7\u03c2<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-einai-limit-order-book\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 limit order book \u03ba\u03b1\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc \u03c4\u03b5\u03c3\u03c4 \u03b3\u03b9\u03b1 AI<\/h2>\n<p>\u0388\u03bd\u03b1 limit order book, \u03ae LOB, \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03ad\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ad\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03bb\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03b9\u03bc\u03ae\u03c2. \u03a3\u03c4\u03b7 \u03bc\u03af\u03b1 \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03b2\u03c1\u03af\u03c3\u03ba\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2, \u03c3\u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7 \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c6\u03bf\u03c1\u03ad\u03c2 \u03c0\u03ce\u03bb\u03b7\u03c3\u03b7\u03c2, \u03b5\u03bd\u03ce \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf bid \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf ask \u03bf\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b1 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b1 \u03cc\u03c1\u03b9\u03b1. \u0397 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03bd\u03ad\u03b5\u03c2 limit orders, \u03b1\u03ba\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 market orders. \u039a\u03ac\u03b8\u03b5 \u03b3\u03b5\u03b3\u03bf\u03bd\u03cc\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf \u03bc\u03cc\u03bd\u03bf \u03b5\u03c6\u03cc\u03c3\u03bf\u03bd \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03b5\u03af \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7: \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03ba\u03c5\u03c1\u03c9\u03b8\u03b5\u03af \u03b5\u03bd\u03c4\u03bf\u03bb\u03ae \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03bf\u03cd\u03c4\u03b5 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03b5\u03af market order \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c4\u03b7 \u03c1\u03b5\u03c5\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b2\u03b9\u03b2\u03bb\u03af\u03bf\u03c5 \u03c9\u03c2 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c0\u03b5\u03c1\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf \u03b4\u03b9\u03ac\u03bd\u03c5\u03c3\u03bc\u03b1 \u03bc\u03b5 \u03c4\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 ask \u03ba\u03b1\u03b9 bid \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03cc\u03b3\u03ba\u03bf \u03b1\u03bd\u03ac \u03c4\u03b9\u03bc\u03ae. \u03a3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03c4\u03b1 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 events \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac. \u038c\u03c4\u03b1\u03bd \u03c0\u03c1\u03bf\u03c3\u03c4\u03b5\u03b8\u03b5\u03af \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf event, \u03b7 \u03b5\u03be\u03ad\u03bb\u03b9\u03be\u03b7 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bb\u03c5\u03c3\u03af\u03b4\u03b1 Markov: \u03b5\u03c6\u03cc\u03c3\u03bf\u03bd \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03c4\u03bf \u03c0\u03b1\u03c1\u03b5\u03bb\u03b8\u03cc\u03bd \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b2\u03ae\u03bc\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ba\u03ac\u03c4\u03b9 \u03c0\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac market data: \u03bf\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7 \u00ab\u03c3\u03c9\u03c3\u03c4\u03ae\u00bb \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd. \u039c\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03ad\u03c4\u03c3\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c0\u03b9\u03c3\u03c4\u03ce\u03c3\u03bf\u03c5\u03bd \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03ae\u03bc\u03b1 \u03ae \u03b1\u03bd \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03c6\u03b1\u03b9\u03bd\u03bf\u03bc\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ac \u03bc\u03bf\u03c4\u03af\u03b2\u03b1 \u03c0\u03bf\u03c5, \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf\u03c5 data-generating process, \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03ba\u03b1\u03bc\u03af\u03b1 \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7 \u03ae \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd.<\/p>\n<div class=\"td-comparison td-comparison-cards--horizontal\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-kicker\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<p class=\"td-chart-title\">\u0397 \u03b5\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03b9\u03b1\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7<\/p>\n<p class=\"td-chart-intro\">\u039a\u03ac\u03b8\u03b5 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03ac\u03bb\u03bb\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03b7\u03c2 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03af\u03c3\u03c4\u03b1\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc top-line accuracy.<\/p>\n<\/div>\n<div class=\"td-comparison-grid\">\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u0395\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1<\/p>\n<p>\u03a0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03cc\u03bd\u03bf events \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b2\u03b9\u03b2\u03bb\u03af\u03bf\u03c5;<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">Status<\/p>\n<p>\u0391\u03bd \u03b4\u03cd\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b5\u03c2 \u03c6\u03c4\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf state, \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03cc\u03c4\u03b9 \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf \u03bc\u03ad\u03bb\u03bb\u03bf\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf;<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u039a\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae<\/p>\n<p>\u03a4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03cc\u03bb\u03c9\u03bd \u03c4\u03c9\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd events \u03bc\u03b5 \u03c4\u03bf\u03bd \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc Markov kernel \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf token;<\/p>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-platform-name\">\u039f\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03c2<\/p>\n<p>\u03a0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03ad\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b4\u03cd\u03bf \u03ae \u03c4\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03c3\u03c5\u03c3\u03c3\u03c9\u03c1\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"ekpaidefsi-transformer-montela\">\u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7: \u03c4\u03c1\u03af\u03b1 transformer \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c4\u03cd\u03c0\u03bf\u03b9 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ce\u03bd<\/h2>\n<p>\u039f\u03b9 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03c1\u03c7\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7-\u03c3\u03c4\u03cc\u03c7\u03bf \u03ba\u03b1\u03b9 \u03c3\u03b5\u03b9\u03c1\u03ac \u03b1\u03c0\u03cc events \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c4\u03bf \u03b2\u03b9\u03b2\u03bb\u03af\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7 \u03bc\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03b4\u03cd\u03bf \u03b5\u03af\u03b4\u03b7 datasets. \u03a4\u03b1 random walks \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03b6\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2, \u03b5\u03bd\u03ce \u03c4\u03b1 shortest paths \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03bf\u03c5\u03bd \u03c4\u03b7 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bc\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03ae \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf. \u0397 \u03b4\u03b9\u03b1\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b1\u03bb\u03bb\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03bf\u03bb\u03c5\u03b2\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7.<\/p>\n<p>\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 decoder-only transformer \u03bc\u03b5 12 layers, embedding dimension 768, 12 attention heads \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 86,4 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03bf\u03c5\u03c2. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03c0\u03bf\u03c5 1,5 \u03b4\u03b9\u03c3\u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03c5\u03c1\u03af\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd. \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf SP \u03c3\u03b5 500.000 shortest-path segments \u03ba\u03b1\u03b9 \u03b4\u03cd\u03bf random-walk \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, RW-S \u03ba\u03b1\u03b9 RW-L, \u03c3\u03b5 10 \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 segments \u03bc\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03bc\u03ae\u03ba\u03bf\u03c2.<\/p>\n<p>\u03a4\u03bf 99% \u03ba\u03ac\u03b8\u03b5 dataset \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 training \u03ba\u03b1\u03b9 \u03c4\u03bf 1% \u03b3\u03b9\u03b1 held-out evaluation. \u03a9\u03c2 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7\u03c2 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc empirical-kernel baseline \u03c0\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf event \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03c5\u03c7\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd. \u0394\u03b5\u03bd \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 hidden state \u03ae attention \u03ba\u03b1\u03b9, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03b5\u03b9 \u03ba\u03b1\u03bb\u03ac \u03c0\u03c1\u03bf\u03c2 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf. \u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03cc\u03bc\u03c9\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03b1\u03bd \u03c4\u03b1 forecast errors \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ae \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03ad\u03bc\u03b1\u03b8\u03b5 \u03c4\u03bf LLM.<\/p>\n<h2 id=\"egkyres-akolouthies\">\u03a4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03ce\u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1: \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd \u03ac\u03c8\u03bf\u03b3\u03b5\u03c2 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf valid traversal test, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 greedily events \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 event \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03bf \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03bf token \u03c4\u03b5\u03c1\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bf \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2. \u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c6\u03b1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03be\u03b1\u03b9\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac: 99,4% valid traversal \u03b3\u03b9\u03b1 \u03c4\u03bf SP, 98,5% \u03b3\u03b9\u03b1 \u03c4\u03bf RW-S \u03ba\u03b1\u03b9 95,5% \u03b3\u03b9\u03b1 \u03c4\u03bf RW-L. \u03a4\u03bf baseline \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bb\u03b9\u03c2 0,7%, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc goal-directed generation.<\/p>\n<p>\u0391\u03ba\u03cc\u03bc\u03b7 \u03c0\u03b9\u03bf \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03b1 shortest paths. \u03a4\u03bf RW-S \u03bf\u03b4\u03b7\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bc\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c3\u03c4\u03bf 90,6% \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b9\u03ce\u03bd, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf 10,4% \u03c4\u03bf\u03c5 training set \u03c4\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u039f\u03b9 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03c5\u03c0\u03b5\u03c1\u03b2\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03ba\u03b1\u03c4\u03ac \u03bc\u03cc\u03bb\u03b9\u03c2 0,1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf, \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 16,3 \u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03ba\u03ac\u03c4\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03cc \u03b3\u03b9\u03b1 \u03c4\u03b7 \u03b4\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03b2\u03b9\u03b2\u03bb\u03af\u03bf\u03c5.<\/p>\n<p>\u0395\u03b4\u03ce \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03b1\u03b3\u03af\u03b4\u03b1 \u03c4\u03b7\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2. \u03a4\u03bf test \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03b1\u03bd \u03c4\u03bf \u03c0\u03b9\u03bf \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc token \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf. \u0394\u03b5\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 \u03c0\u03b9\u03b8\u03b1\u03bd\u03ac \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b1 events \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03ba\u03bf\u03c1\u03c5\u03c6\u03b1\u03af\u03b1 \u03ba\u03af\u03bd\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03b1\u03c5\u03c4\u03cc\u03c7\u03c1\u03bf\u03bd\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03b1\u03b8\u03b9\u03ac \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf \u03c9\u03c2 probabilistic forecaster.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a5\u03c8\u03b7\u03bb\u03ae \u03b5\u03b3\u03ba\u03c5\u03c1\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03b7 \u03c3\u03c5\u03bc\u03c0\u03af\u03b5\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-chart-subtitle\">\u03a0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc valid traversal \u03ba\u03b1\u03b9 compression score \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2. \u039f\u03b9 \u03b4\u03cd\u03bf \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c0\u03b1\u03bd\u03c4\u03bf\u03cd\u03bd \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac \u03b5\u03c1\u03c9\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">99,4% \/ 61,1%<\/span><span class=\"td-metric-label\">SP<\/span><span class=\"td-metric-note\">Valid traversal \/ compression score<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">98,5% \/ 42,0%<\/span><span class=\"td-metric-label\">RW-S<\/span><span class=\"td-metric-note\">Valid traversal \/ compression score<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">95,5% \/ 48,0%<\/span><span class=\"td-metric-label\">RW-L<\/span><span class=\"td-metric-note\">Valid traversal \/ compression score<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,7% \/ 99,9%<\/span><span class=\"td-metric-label\">Empirical baseline<\/span><span class=\"td-metric-note\">Valid traversal \/ compression score<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"compression-test-istorias\">Compression test: \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03be\u03b5\u03c7\u03ac\u03c3\u03b5\u03b9<\/h2>\n<p>\u0391\u03bd \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7, \u03ad\u03bd\u03b1 \u03c3\u03c9\u03c3\u03c4\u03cc world model \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03bb\u03bb\u03bf\u03bd \u03bc\u03b5 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf. \u03a4\u03bf compression test \u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03b6\u03b5\u03cd\u03b3\u03b7 histories \u03c0\u03bf\u03c5 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd suffixes \u03c0\u03bf\u03c5 \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c6\u03b9\u03ba\u03c4\u03ac \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf history \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf.<\/p>\n<p>\u0397 \u03b1\u03c0\u03bb\u03ae baseline \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 compression score 99,9%, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u03a4\u03b1 LLM \u03b2\u03c1\u03af\u03c3\u03ba\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1: 61,1% \u03b3\u03b9\u03b1 SP, 42,0% \u03b3\u03b9\u03b1 RW-S \u03ba\u03b1\u03b9 48,0% \u03b3\u03b9\u03b1 RW-L. \u03a3\u03c4\u03b1 random-walk \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03c3\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03bc\u03b9\u03c3\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c4\u03c9\u03bd \u03b5\u03c6\u03b9\u03ba\u03c4\u03ce\u03bd suffixes \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c0\u03bf\u03c5 \u03bf\u03b4\u03ae\u03b3\u03b7\u03c3\u03b5 \u03b5\u03ba\u03b5\u03af, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae Markov \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03bb\u03ad\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9.<\/p>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b4\u03b5\u03bd \u03ad\u03bc\u03b1\u03b8\u03b1\u03bd \u03c4\u03af\u03c0\u03bf\u03c4\u03b1. \u0386\u03bb\u03bb\u03bf\u03b9 probes \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf hidden state \u03c4\u03bf\u03c5\u03c2 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03c1\u03cc\u03c0\u03bf \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c0\u03b9\u03c3\u03c4\u03ac \u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u0397 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf \u00ab\u03ad\u03c7\u03c9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u00bb \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u00ab\u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ce \u03c3\u03c9\u03c3\u03c4\u03ac \u03b3\u03b9\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7\u00bb \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae.<\/p>\n<div class=\"td-note\">\n<p class=\"td-note-title\">\u03a4\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf compression test<\/p>\n<p>\u0394\u03b5\u03bd \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03c5\u03bc\u03ac\u03c4\u03b1\u03b9 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 Markov \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03b5\u03c6\u03b9\u03ba\u03c4\u03ce\u03bd \u03c3\u03c5\u03bd\u03b5\u03c7\u03b5\u03b9\u03ce\u03bd, \u03cc\u03c0\u03c9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03b7 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/div>\n<h2 id=\"kernel-level-tv\">Kernel-level TV: \u03c0\u03cc\u03c3\u03bf \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b1\u03bb\u03b7\u03b8\u03b9\u03bd\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03c5\u03bd kernel-level total variation distance \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 LLM \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c4\u03c9\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03c9\u03bd events. \u0397 \u03c4\u03b9\u03bc\u03ae \u03ba\u03c5\u03bc\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc 0 \u03ad\u03c9\u03c2 1 \u03ba\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03af\u03b1. \u03a3\u03b5 \u03b1\u03bd\u03c4\u03af\u03b8\u03b5\u03c3\u03b7 \u03bc\u03b5 \u03c4\u03bf valid traversal, \u03c4\u03bf \u03bc\u03ad\u03c4\u03c1\u03bf \u03c4\u03b9\u03bc\u03c9\u03c1\u03b5\u03af \u03c4\u03cc\u03c3\u03bf \u03c4\u03b9\u03c2 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c3\u03b5 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 tokens \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ac\u03ba\u03c5\u03c1\u03b1 tokens.<\/p>\n<p>\u0388\u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b1\u03c1\u03ac\u03b4\u03b5\u03b9\u03b3\u03bc\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2. \u03a3\u03b5 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 20 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 events, \u03c4\u03bf \u03ba\u03b1\u03b8\u03ad\u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 5%. \u03a4\u03bf LLM \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c3\u03c7\u03b5\u03b4\u03cc\u03bd 50% \u03c3\u03b5 \u03b4\u03cd\u03bf cancellations \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03b9\u03bc\u03ae\u03c2, \u03b5\u03bd\u03ce \u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03ac \u03c4\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 10%. \u03a4\u03bf one-step kernel-level TV \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 0,665. \u03a0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03b5\u03b9 \u03c4\u03bf valid traversal test, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03bf\u03b9 \u03c5\u03c0\u03b5\u03c1\u03c4\u03b9\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2.<\/p>\n<p>\u03a3\u03c4\u03b1 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1, \u03c4\u03bf RW-L \u03ad\u03c7\u03b5\u03b9 kernel-level TV 0,08 \u03c3\u03c4\u03bf \u03ad\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1, 0,15 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03ba\u03b1\u03b9 0,21 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1. \u0393\u03b9\u03b1 \u03c4\u03bf RW-S \u03bf\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 0,11, 0,19 \u03ba\u03b1\u03b9 0,28. \u0397 \u03b1\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c3\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03ce\u03bd\u03b5\u03b9 \u03bf forecast horizon: \u03bc\u03b9\u03ba\u03c1\u03ac \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2 \u03c3\u03c5\u03c3\u03c3\u03c9\u03c1\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03c5\u03b2\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae.<\/p>\n<h2 id=\"history-level-tv\">History-level TV: \u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03bb\u03b1\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2<\/h2>\n<p>\u03a4\u03bf history-level TV \u03b1\u03c0\u03b1\u03bd\u03c4\u03ac \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7: \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b7 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b7 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03ad\u03bd\u03b5\u03b9 \u03af\u03b4\u03b9\u03b1; \u039c\u03b5\u03c4\u03c1\u03ac \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac \u03c4\u03c9\u03bd forecast distributions \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac histories \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf \u03af\u03b4\u03b9\u03bf state. \u03a5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c4\u03b9\u03bc\u03ae \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b1\u03c1\u03b5\u03bb\u03b8\u03cc\u03bd.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf RW-L, \u03c4\u03bf history-level TV \u03b1\u03bd\u03b5\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03cc 0,06 \u03c3\u03b5 \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 event \u03c3\u03b5 0,11 \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf \u03ba\u03b1\u03b9 0,16 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1. \u0393\u03b9\u03b1 \u03c4\u03bf RW-S \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc 0,07 \u03c3\u03b5 0,14 \u03ba\u03b1\u03b9 0,23. \u03a4\u03bf empirical baseline \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf 0,00, 0,00 \u03ba\u03b1\u03b9 0,01 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1. \u039f\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ad\u03c2 \u03b4\u03b9\u03b1\u03ba\u03c5\u03bc\u03ac\u03bd\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd, \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c5\u03c3\u03c4\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03b5 \u03bb\u03af\u03b3\u03b5\u03c2 \u03b1\u03ba\u03c1\u03b1\u03af\u03b5\u03c2 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 case \u03b4\u03cd\u03bf histories \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc state, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03af\u03bd\u03b5\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 0,278 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 limit buy order \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf history \u03ba\u03b1\u03b9 \u03bc\u03cc\u03bb\u03b9\u03c2 0,002 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf. \u0393\u03b9\u03b1 \u03ac\u03bb\u03bb\u03b7 limit sell order, \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 0,056 \u03ba\u03b1\u03b9 0,313. \u0395\u03c6\u03cc\u03c3\u03bf\u03bd \u03b7 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 Markov \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03af\u03b4\u03b9\u03b1, \u03b1\u03c5\u03c4\u03ad\u03c2 \u03bf\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b5\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03bf\u03cd\u03bd spurious predictability: \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b1\u03bd \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c3\u03ae\u03bc\u03b1 \u03b5\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-kicker\">\u039a\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03cc\u03c1\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2<\/p>\n<p class=\"td-decision-title\">\u039c\u03b7\u03bd \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 forecaster \u03bc\u03cc\u03bd\u03bf \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 outputs<\/p>\n<p>\u0393\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd orders, pricing \u03ae risk limits, \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03c4\u03b5 probability calibration, null tests, \u03b1\u03c0\u03bb\u03cc state-aware baseline \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b5\u03c2. \u0391\u03bd \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc, \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc \u03ae \u03b1\u03c0\u03bf\u03c7\u03ae.<\/p>\n<\/div>\n<h2 id=\"regressions-pseftiko-sima\">\u039f\u03b9 regressions \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c0\u03bf\u03cd \u03b3\u03b5\u03bd\u03bd\u03b9\u03ad\u03c4\u03b1\u03b9 \u03c4\u03bf \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf \u03c3\u03ae\u03bc\u03b1<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b5\u03c2: buy orders, cancellations, market orders \u03ba\u03b1\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b1 orders. \u0393\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1, \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae Markov \u03c0\u03c1\u03bf\u03c3\u03b4\u03bf\u03ba\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03bf forecast bias \u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7\u03c2 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1\u03c2 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03ae \u03c4\u03b7\u03c2 \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1\u03c2.<\/p>\n<p>\u03a4\u03b1 state features \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd depth imbalance, spread width, \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03cc \u03b2\u03ac\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 imbalance \u03c3\u03c4\u03bf \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf bid\/ask. \u03a4\u03b1 history features \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03bc\u03ae\u03ba\u03bf\u03c2 prefix, \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 buy events, \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03c0\u03b9\u03b8\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd orders, cancellations, depletion \u03c4\u03b7\u03c2 \u03c1\u03b5\u03c5\u03c3\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 \u03ba\u03b1\u03b9 entropy \u03c4\u03cd\u03c0\u03c9\u03bd event. \u03a5\u03c0\u03cc \u03c4\u03b7 Markov \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7, \u03c4\u03b1 history features \u03b4\u03b5\u03bd \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c0\u03c4\u03b9\u03ba\u03ae \u03b9\u03c3\u03c7\u03cd \u03b1\u03c6\u03bf\u03cd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc \u03c4\u03bf \u03c4\u03c1\u03ad\u03c7\u03bf\u03bd state.<\/p>\n<p>\u03a9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03c3\u03b5 \u03bf\u03ba\u03c4\u03ce \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b4\u03ce\u03b4\u03b5\u03ba\u03b1 regressions \u03c4\u03bf\u03c5 RW-S \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf\u03c5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03bf\u03bd \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc history feature \u03c3\u03c4\u03bf \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf 5%. \u0397 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03af\u03b1 buys \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 buy, \u03c3\u03b1\u03bd \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf reversal signal, \u03b5\u03bd\u03ce \u03b7 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b1\u03c6\u03b1\u03af\u03c1\u03b5\u03c3\u03b7 resting orders \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03b5\u03af \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03b1\u03c0\u03cc buys \u03c0\u03c1\u03bf\u03c2 cancellations. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03c3\u03b7\u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03c0\u03c1\u03bf\u03c3\u03bf\u03c7\u03ae\u03c2 \u03bb\u03cc\u03b3\u03c9 multiple testing, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ac features \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ac \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 Bonferroni.<\/p>\n<h2 id=\"klimakosi-esoteriki-katastasi\">\u0397 \u03ba\u03bb\u03b9\u03bc\u03ac\u03ba\u03c9\u03c3\u03b7 \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03b9\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7<\/h2>\n<p>\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03cc LOB \u03ad\u03c7\u03b5\u03b9 756 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 settings \u03bc\u03b5 8.281 \u03ba\u03b1\u03b9 41.553 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2. \u03a4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc valid traversal, \u03cc\u03bc\u03c9\u03c2 \u03c4\u03b1 compression scores \u03c5\u03c0\u03bf\u03c7\u03c9\u03c1\u03bf\u03cd\u03bd, \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b1 random-walk \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1, \u03ba\u03b1\u03b9 \u03bf\u03b9 kernel-level \u03ba\u03b1\u03b9 history-level \u03b1\u03c0\u03bf\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b1\u03c5\u03be\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9.<\/p>\n<p>\u03a3\u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03c4\u03c9\u03bd 41.553 states, \u03c4\u03bf RW-L \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 99,3% valid traversal \u03b1\u03bb\u03bb\u03ac compression score \u03bc\u03cc\u03bb\u03b9\u03c2 24,0%. \u03a4\u03bf kernel-level TV \u03b5\u03af\u03bd\u03b1\u03b9 0,16, 0,20 \u03ba\u03b1\u03b9 0,31 \u03b3\u03b9\u03b1 horizons \u03b5\u03bd\u03cc\u03c2, \u03b4\u03cd\u03bf \u03ba\u03b1\u03b9 \u03c4\u03c1\u03b9\u03ce\u03bd \u03b2\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, \u03b5\u03bd\u03ce \u03c4\u03bf history-level TV \u03b5\u03af\u03bd\u03b1\u03b9 0,11, 0,18 \u03ba\u03b1\u03b9 0,23. \u03a4\u03bf baseline \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd \u03c3\u03c4\u03b9\u03c2 TV \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf 99,9% compression.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ae \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03b3\u03bf\u03c1\u03ac \u03b8\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1, \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac state spaces \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf ground truth \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd. \u03a0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b9\u03c3\u03c7\u03c5\u03c1\u03ae \u03ad\u03bd\u03b4\u03b5\u03b9\u03be\u03b7 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03ad\u03b3\u03ba\u03c5\u03c1\u03c9\u03bd sequences \u03b4\u03b5\u03bd \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03ce\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03c3\u03b5 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03c9\u03bd \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ce\u03bd.<\/p>\n<h2 id=\"ai-trading-chrimatooikonomikes-apofaseis\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc \u03b3\u03b9\u03b1 AI \u03c3\u03b5 trading \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03bc\u03b1\u03c4\u03bf\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b4\u03b5\u03bd \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 live trading strategy \u03bf\u03cd\u03c4\u03b5 \u03b9\u03c3\u03c7\u03c5\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 LLM \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03c0\u03bf\u03c4\u03ad \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03bf\u03cd\u03bd \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac order books. \u03a3\u03c4\u03b1 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03b3\u03bd\u03ae\u03c3\u03b9\u03b1 \u03b2\u03c1\u03b1\u03c7\u03c5\u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03bc\u03b7 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03b8\u03b5\u03bc\u03b5\u03bb\u03b9\u03ce\u03b4\u03b5\u03c2: \u03b1\u03bd \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03b9 signal \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03c4\u03b5\u03af \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf, \u03b7 \u03b5\u03bc\u03c0\u03b9\u03c3\u03c4\u03bf\u03c3\u03cd\u03bd\u03b7 \u03c3\u03c4\u03b1 live forecasts \u03c4\u03bf\u03c5 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bc\u03b9\u03b1 fintech \u03ae \u03b5\u03c0\u03b5\u03bd\u03b4\u03c5\u03c4\u03b9\u03ba\u03ae \u03bf\u03bc\u03ac\u03b4\u03b1, \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03b3\u03b9\u03b1 null tests \u03ba\u03b1\u03b9 controlled simulations \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 backtest \u03c0\u03bf\u03c5 \u03c5\u03c0\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03c3\u03b5 leakage, regime effects \u03ae selection bias. \u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf ground truth \u03b4\u03b5\u03bd \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 probability calibration, \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c0\u03bf\u03bb\u03bb\u03ce\u03bd horizons \u03ba\u03b1\u03b9 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03ac state-aware baselines.<\/p>\n<p>\u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b4\u03b5\u03bd \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7. \u0388\u03bd\u03b1 baseline \u03c7\u03c9\u03c1\u03af\u03c2 attention \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae\u03c2, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03ce\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03b7\u03bd \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae state abstraction. \u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd\u03ac task: generator, planner \u03ba\u03b1\u03b9 forecaster \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03c9\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/p>\n<h2 id=\"evaluation-ai-forecaster\">\u03a0\u03ce\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf evaluation \u03b5\u03bd\u03cc\u03c2 AI forecaster<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 syntax validity, task completion \u03ba\u03b1\u03b9 distributional fidelity. \u03a4\u03bf \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b7 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ae \u03ae \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2. \u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 counterfactual histories: \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf state \u03bf\u03c6\u03b5\u03af\u03bb\u03bf\u03c5\u03bd \u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03bf\u03cd\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf state \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2.<\/p>\n<p>\u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03bf\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b5\u03ba\u03c4\u03b5\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc one-step accuracy. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c1\u03c7\u03ae \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/ici-time-vision-model-provlepei-chronoseires\/\">\u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c7\u03c1\u03bf\u03bd\u03bf\u03c3\u03b5\u03b9\u03c1\u03ce\u03bd<\/a>: \u03c4\u03bf horizon \u03ba\u03b1\u03b9 \u03bf \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1 \u03c4\u03b7\u03c2 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7\u03c2. \u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc horizon \u03ad\u03bd\u03b1 \u03c3\u03b5 \u03c4\u03c1\u03af\u03b1. \u03a3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ac workflows, \u03bc\u03b9\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ae \u03bc\u03bf\u03bd\u03bf\u03b2\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03ba\u03bb\u03b9\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b3\u03af\u03bd\u03b5\u03b9 \u03bc\u03b5\u03b3\u03ac\u03bb\u03b7 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2. \u03a4\u03ad\u03c4\u03b1\u03c1\u03c4\u03bf\u03bd, \u03ba\u03ac\u03b8\u03b5 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bb\u03cc baseline \u03c0\u03bf\u03c5 \u03ba\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c1\u03b7\u03c4\u03ac \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7. \u0391\u03bd \u03c4\u03bf baseline \u03ba\u03b5\u03c1\u03b4\u03af\u03b6\u03b5\u03b9 \u03c3\u03c4\u03b7\u03bd calibration, \u03c4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03bb\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf storytelling \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf AI. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03bd \u03bf\u03b9 <a href=\"https:\/\/twodots.gr\/explainable-ai-xronoseires-frameworks\/\">\u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c5\u03bd\u03b5\u03c0\u03b5\u03af\u03c2<\/a> \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03c4\u03bf evaluation \u03bf\u03c6\u03b5\u03af\u03bb\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 guardrails. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c9\u03c2 \u03b2\u03bf\u03b7\u03b8\u03b7\u03c4\u03b9\u03ba\u03cc \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03bf \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2. \u0388\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af orders, pricing \u03ae risk limits \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03bf\u03bb\u03cd \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 thresholds, monitoring \u03b3\u03b9\u03b1 distribution shift \u03ba\u03b1\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03b1\u03c0\u03bf\u03c7\u03ae\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf\u03c5 \u03c0\u03b5\u03b4\u03af\u03bf\u03c5.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0388\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 AI forecaster \u03c3\u03b5 \u03b5\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">State<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ac \u03c3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c0\u03bb\u03ae\u03c1\u03c9\u03c2 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf \u03c0\u03b1\u03c1\u03b5\u03bb\u03b8\u03cc\u03bd \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf \u03cc\u03c4\u03b1\u03bd \u03b1\u03c5\u03c4\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ac.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Null<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03ac\u03c3\u03c4\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf null test<\/strong>\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03b3\u03bd\u03c9\u03c3\u03c4\u03cc ground truth \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c6\u03b1\u03bd\u03b5\u03af \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c3\u03ae\u03bc\u03b1 \u03b5\u03ba\u03b5\u03af \u03cc\u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Baseline<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b5 state-aware baseline<\/strong>\n<p>\u0388\u03bd\u03b1 \u03b1\u03c0\u03bb\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03bc\u03cc\u03bd\u03bf \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2 \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Calibration<\/span><strong>\u0395\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03b7 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae<\/strong>\n<p>\u039c\u03b7\u03bd \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c3\u03c4\u03b5 \u03c3\u03c4\u03bf top token \u03ae \u03c3\u03c4\u03bf accuracy. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03bd \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b3\u03b9\u03b1 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b1 \u03ba\u03b1\u03b9 \u03ac\u03ba\u03c5\u03c1\u03b1 events \u03c3\u03c5\u03bc\u03c6\u03c9\u03bd\u03bf\u03cd\u03bd \u03bc\u03b5 \u03c4\u03bf ground truth.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">History<\/span><strong>\u0391\u03bb\u03bb\u03ac\u03be\u03c4\u03b5 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 \u03af\u03b4\u03b9\u03bf \u03c4\u03bf state<\/strong>\n<p>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 counterfactual histories \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03c4\u03b5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bb\u03cc\u03b3\u03bf.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Horizon<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c3\u03c5\u03c3\u03c3\u03ce\u03c1\u03b5\u03c5\u03c3\u03b7 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2<\/strong>\n<p>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03ad\u03bd\u03b1, \u03b4\u03cd\u03bf \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c8\u03b5\u03b9\u03c2 \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03bf\u03cd\u03bd \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Guardrails<\/span><strong>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 \u03c4\u03bf test \u03bc\u03b5 \u03cc\u03c1\u03b9\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, monitoring, \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc \u03b1\u03c0\u03bf\u03c7\u03ae\u03c2 \u03ba\u03b1\u03b9 rollback \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf state \u03ae \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03b2\u03b3\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03b4\u03af\u03bf.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"efarmogi-pera-apo-agores\">\u0397 \u03b5\u03c5\u03c1\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ad\u03c2<\/h2>\n<p>\u0397 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf output \u03ba\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc world model \u03b1\u03c6\u03bf\u03c1\u03ac \u03ba\u03ac\u03b8\u03b5 \u03c3\u03c4\u03bf\u03c7\u03b1\u03c3\u03c4\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1. \u03a3\u03b5 e-commerce, \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b5\u03c2 \u03c3\u03c5\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bc\u03ac\u03b8\u03b5\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ac \u03c4\u03b7 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd \u03c3\u03b5 \u03b1\u03b3\u03bf\u03c1\u03ac. \u03a3\u03b5 marketing attribution, \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03c3\u03b5 \u03c0\u03b1\u03bb\u03b9\u03ad\u03c2 \u03b5\u03c0\u03b1\u03c6\u03ad\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 conversion, \u03c0\u03b1\u03c1\u03cc\u03c4\u03b9 \u03b7 \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03bb\u03ac\u03c4\u03b7 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03ae\u03b4\u03b7 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<p>\u0391\u03c5\u03c4\u03ad\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03bf\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b5\u03b8\u03bf\u03b4\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03bf\u03cd \u03b5\u03c5\u03c1\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03cc\u03c7\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u03a4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc lesson \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9: \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 AI \u03c0\u03b1\u03af\u03c1\u03bd\u03b5\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1, \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03c1\u03b7\u03c4\u03ac \u03c0\u03bf\u03b9\u03bf state \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ad\u03c2, \u03c0\u03bf\u03b9\u03b1 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ac\u03c3\u03c7\u03b5\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf controlled test \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c8\u03b5\u03b9 \u03c8\u03b5\u03cd\u03c4\u03b9\u03ba\u03bf signal.<\/p>\n<p>\u0393\u03b9\u03b1 decision makers, \u03b7 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03bf\u03c2 \u03ad\u03bd\u03b1\u03bd \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae AI \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u00ab\u03c0\u03bf\u03b9\u03bf accuracy \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9;\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u00ab\u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf ground truth, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf baseline, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03bf horizon \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c0\u03bf\u03b9\u03bf \u03c4\u03b5\u03c3\u03c4 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b4\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03bb\u03b1\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1;\u00bb. \u0391\u03c5\u03c4\u03ae \u03b7 \u03b5\u03c1\u03ce\u03c4\u03b7\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03ac demos \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03bc\u03bf\u03bd\u03c4\u03b5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b7\u03c4\u03b9\u03ba\u03bf\u03cd \u03c1\u03af\u03c3\u03ba\u03bf\u03c5.<\/p>\n<h2 id=\"oria-meletis\">\u03a4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03b5\u03c5\u03c1\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03ac \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac LOB, \u03bc\u03b5 \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf event \u03c3\u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf setup, \u03b1\u03bd \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd \u03c3\u03c5\u03bd\u03b5\u03c0\u03ae \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03bc\u03b7 \u03bf\u03bc\u03bf\u03b9\u03cc\u03bc\u03bf\u03c1\u03c6\u03bf\u03c5\u03c2 kernels. \u039f\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b1\u03b3\u03bf\u03c1\u03ad\u03c2 \u03ad\u03c7\u03bf\u03c5\u03bd \u03c0\u03bf\u03bb\u03cd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03b1 \u03c4\u03b9\u03bc\u03ce\u03bd, \u03bc\u03b5\u03b3\u03ad\u03b8\u03b7, \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ad\u03c7\u03bf\u03bd\u03c4\u03b5\u03c2, latency effects \u03ba\u03b1\u03b9 \u03ba\u03b1\u03b8\u03b5\u03c3\u03c4\u03ce\u03c4\u03b1. \u0395\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2, \u03bf\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 TV \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03b5\u03c1\u03b8\u03bf\u03cd\u03bd \u03c9\u03c2 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 live trading performance.<\/p>\n<p>\u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03ae. \u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ae, \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03ce\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 failure mode \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03ae\u03c4\u03b1\u03bd \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03c7\u03b8\u03b5\u03af \u03c3\u03b5 \u03b8\u03bf\u03c1\u03c5\u03b2\u03ce\u03b4\u03b7 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u0394\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 LLM \u03ad\u03c7\u03b5\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03bb\u03ac\u03b8\u03bf\u03c2, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b9 \u03c4\u03b1 \u03c3\u03c5\u03bd\u03ae\u03b8\u03b7 sequence-generation tests \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b4\u03ce\u03c3\u03bf\u03c5\u03bd \u03c5\u03c0\u03b5\u03c1\u03b2\u03bf\u03bb\u03b9\u03ba\u03ae \u03b1\u03c5\u03c4\u03bf\u03c0\u03b5\u03c0\u03bf\u03af\u03b8\u03b7\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03bd\u03cc\u03c2 world model.<\/p>\n<p>\u039f\u03b9 \u03af\u03b4\u03b9\u03bf\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bb\u03ae\u03b3\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 datasets \u03ae \u03bd\u03ad\u03b5\u03c2 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 training. \u0393\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2, \u03b7 \u03ac\u03bc\u03b5\u03c3\u03b7 \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b9\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7: \u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 AI forecaster \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03bc\u03cc\u03bd\u03bf task metric. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03ad\u03c3\u03bc\u03b7 \u03b5\u03bb\u03ad\u03b3\u03c7\u03c9\u03bd \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 state representation, calibration, invariance \u03c3\u03b5 \u03ac\u03c3\u03c7\u03b5\u03c4\u03b7 \u03b9\u03c3\u03c4\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03ba\u03b1\u03b8\u03ce\u03c2 \u03b1\u03c5\u03be\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<h2 id=\"symperasma-demo-katanoisi\">\u03a3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1: \u03c4\u03bf \u03ba\u03b1\u03bb\u03cc demo \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03cd\u03ba\u03bf\u03bb\u03b7 \u03b1\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03bc\u03bf\u03c1\u03c6\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7. \u0388\u03bd\u03b1 LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2, \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b5\u03c2 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c6\u03b1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9, \u03b5\u03bd\u03ce \u03bf\u03b9 forecast probabilities \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03bc\u03b5\u03c1\u03bf\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03be\u03b1\u03c1\u03c4\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c0\u03cc \u03ac\u03c3\u03c7\u03b5\u03c4\u03bf \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03cc. \u0397 \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03ac\u03b3\u03bc\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd AI \u03c3\u03b5 \u03c5\u03c8\u03b7\u03bb\u03ae\u03c2 \u03b5\u03c0\u03af\u03c0\u03c4\u03c9\u03c3\u03b7\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, \u03c4\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c2 \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2: controlled environments, \u03b1\u03c0\u03bb\u03ac baselines, null hypotheses, multi-step calibration \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03b4\u03b9\u03ac\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03be\u03cd generation \u03ba\u03b1\u03b9 forecasting. \u0397 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c9\u03c1\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 AI \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03cc\u03c3\u03bf \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf output, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03bd \u03bf\u03b9 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 \u03cc\u03c4\u03b1\u03bd \u03b7 \u03b5\u03c0\u03b9\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c0\u03ac\u03c8\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-eyebrow\">AI \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03be\u03af\u03b1<\/p>\n<p class=\"td-service-cta-title\">\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03b9\u03bd \u03c4\u03bf\u03c5 \u03b1\u03bd\u03b1\u03b8\u03ad\u03c3\u03b5\u03c4\u03b5 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2<\/p>\n<p>\u0397 TWO DOTS \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b5\u03af state, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, baselines \u03ba\u03b1\u03b9 guardrails \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 AI workflow \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03c3\u03b5\u03b9 pricing, operations \u03ae \u03c0\u03b5\u03bb\u03ac\u03c4\u03b5\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">H\u00e4ufig gestellte Fragen<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf limit order book;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bf\u03c1\u03b3\u03b1\u03bd\u03c9\u03bc\u03ad\u03bd\u03b7 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03b5\u03bd\u03b5\u03c1\u03b3\u03ce\u03bd \u03b5\u03bd\u03c4\u03bf\u03bb\u03ce\u03bd \u03b1\u03b3\u03bf\u03c1\u03ac\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03bb\u03b7\u03c3\u03b7\u03c2 \u03b1\u03bd\u03ac \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03c4\u03b9\u03bc\u03ae\u03c2. \u0397 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b5 \u03bd\u03ad\u03b5\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ad\u03c2, \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03bd\u03bd\u03bf\u03b5\u03af \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03cc\u03c1\u03bf world model;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03bd\u03bd\u03bf\u03b5\u03af \u03c4\u03b7\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf LLM \u03b3\u03b9\u03b1 \u03c4\u03b7\u03bd \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7\u03c2 \u03c4\u03bf\u03c5 \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2, \u03cc\u03c7\u03b9 \u03ad\u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03bf\u03bd\u03bf\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03b5\u03af \u03c4\u03bf 99% valid traversal;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03b7 \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b7, \u03cc\u03c7\u03b9 \u03b1\u03bd \u03b7 \u03c0\u03bb\u03ae\u03c1\u03b7\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd \u03c4\u03c9\u03bd \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ce\u03bd events \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 spurious predictability;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c6\u03b1\u03b9\u03bd\u03bf\u03bc\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03b2\u03bb\u03b5\u03c8\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03b9\u03c3\u03c4\u03bf\u03c1\u03b9\u03ba\u03ac \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b1 \u03bf\u03c0\u03bf\u03af\u03b1, \u03b2\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b7\u03c2 \u03b3\u03bd\u03c9\u03c3\u03c4\u03ae\u03c2 Markov \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2, \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03bc\u03ad\u03bb\u03bb\u03bf\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03cc\u03c4\u03b9 \u03c4\u03b1 LLM \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b7\u03b8\u03bf\u03cd\u03bd \u03c3\u03c4\u03bf trading;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0391\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf failure mode \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac limit order books \u03ba\u03b1\u03b9 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 forecast diagnostics \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bf \u03c1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 empirical baseline;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03c1\u03bf\u03ad\u03b2\u03bb\u03b5\u03c0\u03b5 \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf event \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03c4\u03c1\u03ad\u03c7\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03c7\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2. \u0389\u03c4\u03b1\u03bd \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03c3\u03c4\u03bf goal-directed generation, \u03b1\u03bb\u03bb\u03ac \u03c0\u03bf\u03bb\u03cd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03c3\u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c3\u03c9\u03c3\u03c4\u03ae\u03c2 \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ae\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03bf\u03af forecast horizons;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03c0\u03b5\u03b9\u03b4\u03ae \u03c4\u03b1 \u03bc\u03b9\u03ba\u03c1\u03ac \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae\u03c2 \u03c3\u03c5\u03c3\u03c3\u03c9\u03c1\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03c4\u03cc\u03c3\u03bf \u03c4\u03bf kernel-level \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf history-level TV \u03b1\u03c5\u03be\u03ac\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03ad\u03bd\u03b1 \u03c3\u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03bc\u03b7 \u03c3\u03c5\u03b3\u03c7\u03ad\u03b5\u03b9 \u03c4\u03bf \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf \u03ae \u03c0\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03cc output \u03bc\u03b5 \u03c3\u03c9\u03c3\u03c4\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03bf\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 state-aware evaluation, calibration, null tests, baseline \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03cc\u03c1\u03b9\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Quellen<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.23706\" target=\"_blank\" rel=\"noopener\">Chen &amp; Glasserman: Do LLMs Understand Limit Order Book Dynamics?<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/publications\/artificial-intelligence-risk-management-framework-ai-rmf-10\" target=\"_blank\" rel=\"noopener\">NIST: Artificial Intelligence Risk Management Framework 1.0<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\/nist-ai-rmf-playbook\" target=\"_blank\" rel=\"noopener\">NIST: AI Risk Management Framework Playbook<\/a><\/li>\n<li><a href=\"https:\/\/www.federalreserve.gov\/supervisionreg\/srletters\/SR2602.htm\" target=\"_blank\" rel=\"noopener\">Federal Reserve, OCC &amp; FDIC: Revised Guidance on Model Risk Management<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u039c\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03b5\u03c4\u03b9\u03ba\u03ac limit order books \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 \u03ad\u03b3\u03ba\u03c5\u03c1\u03b5\u03c2 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b5\u03c2 \u03b5\u03bd\u03cc\u03c2 LLM \u03b4\u03b5\u03bd \u03b1\u03c1\u03ba\u03bf\u03cd\u03bd: \u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 calibration, \u03c3\u03c9\u03c3\u03c4\u03cc state \u03ba\u03b1\u03b9 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03bf\u03cd\u03c2 \u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b5\u03c2.<\/p>","protected":false},"author":1,"featured_media":111637,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[21273,21272,19312,21271,19403],"class_list":["post-98918","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-risk","tag-algorithmic-trading","tag-financial-ai","tag-limit-order-book","tag-llm-evaluation"],"_links":{"self":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98918","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/comments?post=98918"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98918\/revisions"}],"predecessor-version":[{"id":111638,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/posts\/98918\/revisions\/111638"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media\/111637"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/media?parent=98918"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/categories?post=98918"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/de\/wp-json\/wp\/v2\/tags?post=98918"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}