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    "result": {"data":{"mdx":{"body":"var _excluded = [\"components\"];\nfunction _extends() { return _extends = Object.assign ? Object.assign.bind() : function (n) { for (var e = 1; e < arguments.length; e++) { var t = arguments[e]; for (var r in t) ({}).hasOwnProperty.call(t, r) && (n[r] = t[r]); } return n; }, _extends.apply(null, arguments); }\nfunction _objectWithoutProperties(e, t) { if (null == e) return {}; var o, r, i = _objectWithoutPropertiesLoose(e, t); if (Object.getOwnPropertySymbols) { var n = Object.getOwnPropertySymbols(e); for (r = 0; r < n.length; r++) o = n[r], -1 === t.indexOf(o) && {}.propertyIsEnumerable.call(e, o) && (i[o] = e[o]); } return i; }\nfunction _objectWithoutPropertiesLoose(r, e) { if (null == r) return {}; var t = {}; for (var n in r) if ({}.hasOwnProperty.call(r, n)) { if (-1 !== e.indexOf(n)) continue; t[n] = r[n]; } return t; }\n/* @jsxRuntime classic */\n/* @jsx mdx */\n\nvar _frontmatter = {\n  \"title\": \"Agentic RL Backtest & Bias Resolution Report\",\n  \"tags\": [\"paper\"],\n  \"emoji\": \"\",\n  \"modified\": \"2026-07-25T00:00:00.000Z\"\n};\nvar layoutProps = {\n  _frontmatter: _frontmatter\n};\nvar MDXLayout = \"wrapper\";\nreturn function MDXContent(_ref) {\n  var components = _ref.components,\n    props = _objectWithoutProperties(_ref, _excluded);\n  return mdx(MDXLayout, _extends({}, layoutProps, props, {\n    components: components,\n    mdxType: \"MDXLayout\"\n  }), mdx(\"h1\", {\n    \"id\": \"agentic-rl-backtest--bias-resolution-report\"\n  }, \"Agentic RL Backtest & Bias Resolution Report\"), mdx(\"p\", null, \"\\uBCF8 \\uBCF4\\uACE0\\uC11C\\uB294 \\uC678\\uBD80 MCP \\uC5D0\\uC774\\uC804\\uD2B8 \\uD480 \\uC5F0\\uB3D9, PyTorch \\uAE30\\uBC18 \\uAC15\\uD654\\uD559\\uC2B5(TD3) \\uBAA8\\uB378 \\uD559\\uC2B5, \\uADF8\\uB9AC\\uACE0 LLM\\uC744 \\uC774\\uC6A9\\uD55C \\uC5D0\\uC774\\uC804\\uD2F1 \\uD504\\uB86C\\uD504\\uD2B8 \\uCD5C\\uC801\\uD654 \\uD53C\\uB4DC\\uBC31 \\uB8E8\\uD504\\uB97C \\uACB0\\uD569\\uD55C \\uD1B5\\uD569 \\uBC31\\uD14C\\uC2A4\\uD2B8 \\uC2DC\\uC2A4\\uD15C(FinAgent)\\uC758 \\uAD6C\\uCD95 \\uB0B4\\uC5ED\\uACFC, \\uBC31\\uD14C\\uC2A4\\uD2B8\\uC758 \\uC2E0\\uB8B0\\uC131\\uC744 \\uBB34\\uB108\\uB728\\uB9AC\\uB294 \\uC815\\uBCF4 \\uD3B8\\uD5A5(Look-ahead Bias / \\uC0DD\\uC874 \\uD3B8\\uD5A5)\\uC744 \\uD574\\uACB0\\uD55C \\uACB0\\uACFC\\uC5D0 \\uB300\\uD55C \\uAE30\\uC220\\uC801 \\uC131\\uACFC \\uBD84\\uC11D \\uBCF4\\uACE0\\uC11C\\uC785\\uB2C8\\uB2E4.\"), mdx(\"hr\", null), mdx(\"h2\", {\n    \"id\": \"1-프로젝트-개요-및-목적\"\n  }, \"1. \\uD504\\uB85C\\uC81D\\uD2B8 \\uAC1C\\uC694 \\uBC0F \\uBAA9\\uC801\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uBAA9\\uC801\"), \": \\uB370\\uC774\\uD130, \\uC54C\\uD30C, \\uD3EC\\uD2B8\\uD3F4\\uB9AC\\uC624, \\uB9AC\\uC2A4\\uD06C \\uB4F1 \\uD30C\\uD3B8\\uD654\\uB41C \\uAE08\\uC735 \\uC5D0\\uC774\\uC804\\uD2B8 \\uD480\\uB4E4\\uC744 MCP(Model Context Protocol) \\uB124\\uD2B8\\uC6CC\\uD06C\\uB85C \\uC735\\uD569\\uD558\\uACE0, \\uD3EC\\uD2B8\\uD3F4\\uB9AC\\uC624 \\uBE44\\uC911 \\uACB0\\uC815 \\uBB38\\uC81C\\uB97C PyTorch \\uAC15\\uD654\\uD559\\uC2B5(TD3)\\uC73C\\uB85C \\uBAA8\\uB378\\uB9C1\\uD558\\uC5EC \\uCD5C\\uC801\\uC758 \\uD22C\\uC790 \\uC758\\uC0AC\\uACB0\\uC815\\uC744 \\uC790\\uB3D9\\uD654\\uD569\\uB2C8\\uB2E4.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uD575\\uC2EC \\uAE30\\uB2A5\"), \":\", mdx(\"ul\", {\n    parentName: \"li\"\n  }, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"MCP SSE \\uD074\\uB77C\\uC774\\uC5B8\\uD2B8 \\uD1B5\\uC2E0\"), \": \\uBC31\\uADF8\\uB77C\\uC6B4\\uB4DC\\uC758 \\uB370\\uC774\\uD130 \\uD480(Port 8011) \\uB4F1 \\uC678\\uBD80 \\uC5D0\\uC774\\uC804\\uD2B8\\uC640 \\uC9C1\\uC811 \\uD1B5\\uC2E0\\uD558\\uC5EC \\uB9AC\\uC5BC\\uD0C0\\uC784 KOSPI \\uC885\\uAC00 \\uB370\\uC774\\uD130 \\uCDE8\\uB4DD.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uC5D0\\uC774\\uC804\\uD2F1 \\uD53C\\uB4DC\\uBC31 \\uB8E8\\uD504 (Agentic Loop)\"), \": \\uB9E4 \\uC5D0\\uD53C\\uC18C\\uB4DC \\uC885\\uB8CC \\uD6C4 \\uD6C8\\uB828 \\uC131\\uACFC\\uAC00 \\uAE30\\uC900\\uCE58 \\uBBF8\\uB2EC\\uC77C \\uB54C OpenAI \", mdx(\"inlineCode\", {\n    parentName: \"li\"\n  }, \"gpt-4o\"), \" \\uBA54\\uD0C0 \\uC5D0\\uC774\\uC804\\uD2B8\\uAC00 \\uAC1C\\uC785\\uD558\\uC5EC \\uC54C\\uD30C \\uC5D0\\uC774\\uC804\\uD2B8\\uC758 \\uD504\\uB86C\\uD504\\uD2B8(\\uC9C0\\uCE68)\\uB97C \\uC790\\uB3D9\\uC73C\\uB85C \\uD29C\\uB2DD \\uBC0F Overriding\\uD558\\uB294 \\uC790\\uB3D9\\uD654 \\uB8E8\\uD504 \\uAD6C\\uCD95.\")))), mdx(\"hr\", null), mdx(\"h2\", {\n    \"id\": \"2-강화학습rl-기술-아키텍처\"\n  }, \"2. \\uAC15\\uD654\\uD559\\uC2B5(RL) \\uAE30\\uC220 \\uC544\\uD0A4\\uD14D\\uCC98\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uC54C\\uACE0\\uB9AC\\uC998\"), \": \", mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"TD3 (Twin Delayed Deep Deterministic Policy Gradient)\")), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uC2E0\\uACBD\\uB9DD \\uCC28\\uC6D0 \\uBC0F \\uB808\\uC774\\uC5B4 \\uAD6C\\uC870\"), \":\", mdx(\"ul\", {\n    parentName: \"li\"\n  }, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"Actor Network (\\uC815\\uCC45 \\uACB0\\uC815\\uB9DD)\"), \":\", mdx(\"ul\", {\n    parentName: \"li\"\n  }, mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"80\\uCC28\\uC6D0 \\uC785\\uB825(10\\uAC1C \\uC885\\uBAA9 * 8\\uAC1C \\uAE30\\uC220\\uC801 \\uD2B9\\uC9D5\\uB7C9) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 1(256) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 2(256) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 3(256) \\u27A1\\uFE0F 10\\uCC28\\uC6D0 \\uCD9C\\uB825(\\uAC01 \\uC885\\uBAA9\\uC758 \\uBAA9\\uD45C \\uBE44\\uC911 \\uC2E4\\uC218 \", mdx(\"inlineCode\", {\n    parentName: \"li\"\n  }, \"[-1, 1]\"), \")\"))), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"Critic Network (\\uAC00\\uCE58 \\uD3C9\\uAC00\\uB9DD - Twin Q-net)\"), \":\", mdx(\"ul\", {\n    parentName: \"li\"\n  }, mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"\\uACFC\\uB300\\uD3C9\\uAC00 \\uBC29\\uC9C0\\uB97C \\uC704\\uD574 \\uB3D9\\uC77C\\uD55C \\uAD6C\\uC870\\uB97C \\uAC16\\uB294 2\\uAC1C\\uC758 \\uB124\\uD2B8\\uC6CC\\uD06C(\", mdx(\"inlineCode\", {\n    parentName: \"li\"\n  }, \"q1\"), \", \", mdx(\"inlineCode\", {\n    parentName: \"li\"\n  }, \"q2\"), \") \\uC6B4\\uC6A9.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"90\\uCC28\\uC6D0 \\uC785\\uB825(80\\uCC28\\uC6D0 \\uC0C1\\uD0DC + 10\\uCC28\\uC6D0 \\uD589\\uB3D9) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 1(256) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 2(256) \\u27A1\\uFE0F \\uC740\\uB2C9\\uCE35 3(256) \\u27A1\\uFE0F 1\\uCC28\\uC6D0 \\uCD9C\\uB825(Q-value \\uAC00\\uCE58 \\uC810\\uC218)\")))))), mdx(\"hr\", null), mdx(\"h2\", {\n    \"id\": \"3-핵심-개선-사항-정보-편향bias-해결\"\n  }, \"3. \\uD575\\uC2EC \\uAC1C\\uC120 \\uC0AC\\uD56D: \\uC815\\uBCF4 \\uD3B8\\uD5A5(Bias) \\uD574\\uACB0\"), mdx(\"p\", null, \"\\uAE30\\uC874\\uC758 \\uACE0\\uC815 \\uC885\\uBAA9 \\uAE30\\uBC18 \\uBC31\\uD14C\\uC2A4\\uD2B8\\uB294 \\uBBF8\\uB798 \\uC2DC\\uC810(2024~2025\\uB144)\\uC758 \\uB300\\uD615\\uC8FC \\uC815\\uBCF4\\uB97C 2023\\uB144 \\uC2DC\\uC810\\uC5D0 \\uC774\\uBBF8 \\uC54C\\uACE0 \\uB9E4\\uB9E4\\uD558\\uB294 \", mdx(\"strong\", {\n    parentName: \"p\"\n  }, \"\\uBBF8\\uB798 \\uC815\\uBCF4 \\uCC38\\uC870 \\uD3B8\\uD5A5(Look-ahead bias)\"), \" \\uBC0F \", mdx(\"strong\", {\n    parentName: \"p\"\n  }, \"\\uC0DD\\uC874 \\uD3B8\\uD5A5(Survival bias)\"), \"\\uC774 \\uB0B4\\uC7AC\\uB418\\uC5B4 \\uC131\\uACFC\\uAC00 \\uACFC\\uC7A5\\uB418\\uC5C8\\uC2B5\\uB2C8\\uB2E4. \\uC774\\uB97C \\uD574\\uACB0\\uD558\\uAE30 \\uC704\\uD574 \\uB2E4\\uC74C \\uC2DC\\uC2A4\\uD15C\\uC744 \\uCD94\\uAC00\\uD588\\uC2B5\\uB2C8\\uB2E4.\"), mdx(\"h3\", {\n    \"id\": \"a-슬롯-기반-동적-바인딩-slot-based-dimension-binding\"\n  }, \"A. \\uC2AC\\uB86F \\uAE30\\uBC18 \\uB3D9\\uC801 \\uBC14\\uC778\\uB529 (Slot-based Dimension Binding)\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"PyTorch \\uBAA8\\uB378\\uC758 \\uAC00\\uC911\\uCE58 \\uC785\\uB825(State) \\uBC0F \\uCD9C\\uB825(Action) \\uCC28\\uC6D0\\uC740 \\uACE0\\uC815\\uB418\\uC5B4\\uC57C \\uD559\\uC2B5\\uC774 \\uAC00\\uB2A5\\uD569\\uB2C8\\uB2E4.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"\\uC774\\uB97C \\uC704\\uD574 \\uBAA8\\uB378 \\uCC28\\uC6D0\\uC740 \", mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uC0C1\\uC704 7\\uAC1C(Top 7) \\uC2AC\\uB86F\"), \"\\uC73C\\uB85C \\uACE0\\uC815\\uD558\\uB418, \\uAC01 \\uC2AC\\uB86F\\uC5D0 \\uB300\\uC751\\uB418\\uB294 \\uC2E4\\uC81C \\uC8FC\\uC2DD \\uC885\\uBAA9\\uC740 \\uB9E4 \\uBD84\\uAE30 \\uB7AD\\uD0B9\\uC5D0 \\uC758\\uAC70\\uD574 \\uB3D9\\uC801\\uC73C\\uB85C \\uAD50\\uCCB4\\uB418\\uB3C4\\uB85D \\uC5B4\\uB311\\uD130 \\uB514\\uC790\\uC778\\uC744 \\uC801\\uC6A9\\uD588\\uC2B5\\uB2C8\\uB2E4.\")), mdx(\"h3\", {\n    \"id\": \"b-분기별-동적-유니버스-선정-및-리밸런싱\"\n  }, \"B. \\uBD84\\uAE30\\uBCC4 \\uB3D9\\uC801 \\uC720\\uB2C8\\uBC84\\uC2A4 \\uC120\\uC815 \\uBC0F \\uB9AC\\uBC38\\uB7F0\\uC2F1\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uC2DC\\uAC00\\uCD1D\\uC561 \\uB7AD\\uD0B9\"), \": \\uB9E4\\uC77C\\uC758 \\uC8FC\\uAC00\\uC640 \\uC885\\uBAA9\\uBCC4 \\uC8FC\\uC2DD \\uC218(Shares)\\uB97C \\uACF1\\uD574 \\uB9E4 \\uBD84\\uAE30 \\uC2DC\\uC791\\uC77C\\uC5D0 \\uB2F9\\uC2DC \\uC2DC\\uC810 \\uAE30\\uC900 KOSPI \\uC0C1\\uC704 7\\uAC1C \\uC885\\uBAA9\\uC744 \\uC2E4\\uC2DC\\uAC04 \\uC7AC\\uC120\\uBCC4\\uD569\\uB2C8\\uB2E4.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uD0C8\\uB77D \\uC885\\uBAA9 \\uCCAD\\uC0B0\"), \": \\uB9AC\\uBC38\\uB7F0\\uC2F1 \\uD3C9\\uAC00 \\uACB0\\uACFC \\uC0C1\\uC704 7\\uC704 \\uBC16\\uC73C\\uB85C \\uC81C\\uC678\\uB41C \\uC885\\uBAA9\\uC740 \", mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uBCF4\\uC720 \\uC9C0\\uBD84 \\uC804\\uB7C9\\uC744 \\uC989\\uC2DC \\uC2DC\\uC7A5\\uAC00\\uB85C \\uB9E4\\uB3C4(Clean Liquidation)\"), \"\\uD558\\uC5EC \\uD604\\uAE08\\uD654\\uD558\\uBA70, \\uC2E0\\uADDC \\uC9C4\\uC785 \\uC885\\uBAA9\\uC740 \\uB2E4\\uC74C \\uAC70\\uB798\\uC77C\\uBD80\\uD130 \\uC2AC\\uB86F\\uC5D0 \\uBC14\\uC778\\uB529\\uD558\\uC5EC \\uC0C8\\uB85C \\uC758\\uC0AC\\uACB0\\uC815\\uC744 \\uC218\\uD589\\uD569\\uB2C8\\uB2E4.\")), mdx(\"hr\", null), mdx(\"h2\", {\n    \"id\": \"4-백테스트-성과-분석-비교\"\n  }, \"4. \\uBC31\\uD14C\\uC2A4\\uD2B8 \\uC131\\uACFC \\uBD84\\uC11D \\uBE44\\uAD50\"), mdx(\"p\", null, \"\\uB3D9\\uC801 \\uB9AC\\uBC38\\uB7F0\\uC2F1 \\uBC0F \\uC815\\uBCF4 \\uD3B8\\uD5A5\\uC744 \\uC81C\\uAC70\\uD558\\uAE30 \\uC804\\uACFC \\uD6C4\\uC758 \\uC815\\uB7C9\\uC801 \\uD22C\\uC790 \\uC131\\uACFC\\uB97C \\uB3D9\\uC77C\\uD55C 2\\uAC1C\\uB144(2023-01-01 ~ 2024-12-31) \\uB370\\uC774\\uD130\\uC14B \\uC0C1\\uC5D0\\uC11C \\uBE44\\uAD50\\uD55C \\uACB0\\uACFC\\uC785\\uB2C8\\uB2E4.\"), mdx(\"table\", null, mdx(\"thead\", {\n    parentName: \"table\"\n  }, mdx(\"tr\", {\n    parentName: \"thead\"\n  }, mdx(\"th\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"\\uC131\\uACFC \\uBA54\\uD2B8\\uB9AD\"), mdx(\"th\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"\\uACE0\\uC815 \\uC720\\uB2C8\\uBC84\\uC2A4 (\\uD3B8\\uD5A5 \\uC874\\uC7AC)\"), mdx(\"th\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"\\uB3D9\\uC801 \\uB9AC\\uBC38\\uB7F0\\uC2F1 (\\uD3B8\\uD5A5 \\uC81C\\uAC70)\"))), mdx(\"tbody\", {\n    parentName: \"table\"\n  }, mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uCD08\\uAE30 \\uC790\\uC0B0\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"$100,000.00\"), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"$100,000.00\")), mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uCD5C\\uC885 \\uC790\\uC0B0\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"$256,746.59\"), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"$85,852.57\"))), mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uCD5C\\uC885 \\uC218\\uC775\\uB960\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"+156.75%\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"-14.15%\"))), mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uCD1D \\uAC70\\uB798 \\uD69F\\uC218\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"4,222\\uD68C\"), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"1,178\\uD68C\")), mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uB204\\uC801 \\uBCF4\\uC0C1\\uD569\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"-1291.73\"), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"-192.94\")), mdx(\"tr\", {\n    parentName: \"tbody\"\n  }, mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"strong\", {\n    parentName: \"td\"\n  }, \"\\uC131\\uB2A5 \\uCC28\\uD2B8 \\uACB0\\uACFC\")), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, \"[\\uACE0\\uC815\\uD615 \\uCC28\\uD2B8]\"), mdx(\"td\", {\n    parentName: \"tr\",\n    \"align\": \"left\"\n  }, mdx(\"a\", {\n    parentName: \"td\",\n    \"href\": \"tests/agentic_rl_backtest_chart.png\"\n  }, \"\\uB3D9\\uC801 \\uB9AC\\uBC38\\uB7F0\\uC2F1 \\uCC28\\uD2B8\"))))), mdx(\"h3\", {\n    \"id\": \"-분석-시사점\"\n  }, \"\\uD83D\\uDCCA \\uBD84\\uC11D \\uC2DC\\uC0AC\\uC810\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"\\uBBF8\\uB798 \\uC815\\uBCF4\\uB97C \\uCC38\\uC870\\uD558\\uB358 \\uC65C\\uACE1 \\uBC84\\uC804\\uC740 \\uC5F0 70% \\uC774\\uC0C1\\uC758 \\uBE44\\uD604\\uC2E4\\uC801\\uC778 \\uACE0\\uC218\\uC775(+156.75%)\\uC744 \\uB098\\uD0C0\\uB0C8\\uC73C\\uB098, \\uD3B8\\uD5A5\\uC744 \\uC644\\uC804\\uD788 \\uC81C\\uAC70\\uD558\\uACE0 \\uB3D9\\uC801\\uC73C\\uB85C \\uC885\\uBAA9\\uC744 \\uBCC0\\uACBD\\uD558\\uBA70 \\uC5ED\\uC0AC\\uC801 \\uADDC\\uCE59\\uC744 \\uC9C0\\uD0A8 \\uB9AC\\uC5BC \\uBC84\\uC804\\uC740 \\uD558\\uB77D\\uC7A5 \\uB9AC\\uC2A4\\uD06C\\uC640 \\uC7A6\\uC740 \\uB9AC\\uBC38\\uB7F0\\uC2F1 \\uBE44\\uC6A9\\uC774 \\uBC18\\uC601\\uB418\\uC5B4 \", mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"-14.15%\"), \"\\uC758 \\uC9C0\\uADF9\\uD788 \\uD604\\uC2E4\\uC801\\uC778 \\uB9C8\\uC774\\uB108\\uC2A4 \\uC131\\uACFC\\uB97C \\uBCF4\\uC600\\uC2B5\\uB2C8\\uB2E4.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, \"\\uC774\\uB294 \\uD3B8\\uD5A5 \\uC5C6\\uB294 \\uC2DC\\uBBAC\\uB808\\uC774\\uD130 \\uC124\\uACC4\\uAC00 \\uC2E4\\uC81C \\uB77C\\uC774\\uBE0C \\uC790\\uAE08 \\uC6B4\\uC6A9 \\uC2DC\\uC758 \\uB300\\uADDC\\uBAA8 \\uCC38\\uC0AC\\uB97C \\uB9C9\\uAE30 \\uC704\\uD574 \\uC5BC\\uB9C8\\uB098 \\uC911\\uC694\\uD55C\\uC9C0\\uB97C \\uC99D\\uBA85\\uD558\\uB294 \\uB300\\uC870 \\uC0AC\\uB840\\uC785\\uB2C8\\uB2E4.\")), mdx(\"hr\", null), mdx(\"h2\", {\n    \"id\": \"5-결론-및-향후-고도화-가이드라인\"\n  }, \"5. \\uACB0\\uB860 \\uBC0F \\uD5A5\\uD6C4 \\uACE0\\uB3C4\\uD654 \\uAC00\\uC774\\uB4DC\\uB77C\\uC778\"), mdx(\"ul\", null, mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uAC70\\uB798 \\uBE48\\uB3C4 \\uD1B5\\uC81C\"), \": \\uB9AC\\uBC38\\uB7F0\\uC2F1 \\uBC0F \\uC77C\\uC77C \\uB9E4\\uB9E4 \\uC2DC \\uBC1C\\uC0DD\\uD558\\uB294 \\uAC70\\uB798 \\uC218\\uC218\\uB8CC\\uC640 \\uC2AC\\uB9AC\\uD53C\\uC9C0(Slippage) \\uB204\\uC801\\uC744 \\uC904\\uC774\\uAE30 \\uC704\\uD574, \\uC561\\uD130 \\uBAA8\\uB378\\uC758 \\uCD5C\\uC18C \\uB9E4\\uB9E4 \\uC784\\uACC4\\uCE58\\uB97C \\uB192\\uC774\\uAC70\\uB098 \\uC7AC\\uC870\\uC815(Rebalancing) \\uBE44\\uC911 \\uCD5C\\uC18C \\uBCC0\\uB3D9\\uD3ED \\uADDC\\uCE59\\uC744 \\uD504\\uB86C\\uD504\\uD2B8\\uC0C1\\uC5D0 \\uB354 \\uAC15\\uD558\\uAC8C \\uC81C\\uC5B4\\uD574\\uC57C \\uD569\\uB2C8\\uB2E4.\"), mdx(\"li\", {\n    parentName: \"ul\"\n  }, mdx(\"strong\", {\n    parentName: \"li\"\n  }, \"\\uB9AC\\uC6CC\\uB4DC \\uD568\\uC218 \\uD29C\\uB2DD\"), \": drawdown \\uD398\\uB110\\uD2F0 \\uBC30\\uC728(\\uD604\\uC7AC 10\\uBC30)\\uC744 \\uAC15\\uD654\\uD558\\uC5EC, \\uD558\\uB77D \\uBAA8\\uBA58\\uD140 \\uC9C4\\uC785 \\uC2DC \\uD55C\\uCE35 \\uBBFC\\uCCA9\\uD55C \\uC190\\uC808 \\uBC0F \\uD3EC\\uC9C0\\uC158 \\uD68C\\uD53C \\uD589\\uB3D9\\uC744 \\uBCF4\\uC774\\uB3C4\\uB85D RL Reward Function\\uC744 \\uACE0\\uB3C4\\uD654\\uD560 \\uAC83\\uC744 \\uC81C\\uC548\\uD569\\uB2C8\\uB2E4.\")));\n}\n;\nMDXContent.isMDXComponent = true;","frontmatter":{"title":"Agentic RL Backtest & Bias Resolution Report","tags":["paper"],"emoji":"","link":null,"modified":"July 25, 2026","modifiedTimestamp":"2026-07-25T00:00:00.000Z"},"references":[],"fields":{"slug":"/paper-study-haic-2607250857"},"tableOfContents":{"items":[{"url":"#agentic-rl-backtest--bias-resolution-report","title":"Agentic RL Backtest & Bias Resolution Report","items":[{"url":"#1-프로젝트-개요-및-목적","title":"1. 프로젝트 개요 및 목적"},{"url":"#2-강화학습rl-기술-아키텍처","title":"2. 강화학습(RL) 기술 아키텍처"},{"url":"#3-핵심-개선-사항-정보-편향bias-해결","title":"3. 핵심 개선 사항: 정보 편향(Bias) 해결","items":[{"url":"#a-슬롯-기반-동적-바인딩-slot-based-dimension-binding","title":"A. 슬롯 기반 동적 바인딩 (Slot-based Dimension Binding)"},{"url":"#b-분기별-동적-유니버스-선정-및-리밸런싱","title":"B. 분기별 동적 유니버스 선정 및 리밸런싱"}]},{"url":"#4-백테스트-성과-분석-비교","title":"4. 백테스트 성과 분석 비교","items":[{"url":"#-분석-시사점","title":"📊 분석 시사점"}]},{"url":"#5-결론-및-향후-고도화-가이드라인","title":"5. 결론 및 향후 고도화 가이드라인"}]}]},"parent":{"relativePath":"paper-study-haic-2607250857.md"}}},"pageContext":{"id":"97f2912f-374e-5ac7-8364-65d1950d188a","previous":{"id":"13f35173-b764-514d-b534-6ac137e8c6f2","frontmatter":{"title":"HelloWorld()","tags":["code"]},"fields":{"slug":"/example-note"}},"next":{"id":"e3c03f40-1d5f-5f07-9be3-d33509d4e2f0","frontmatter":{"title":"2026년 5~7월 트레이딩 AI 에이전트 최신 연구 동향","tags":["paper"]},"fields":{"slug":"/paper-survey-haic-2607250949"}},"hasUntagged":false,"basePath":"/","tags":[{"tag":"code","totalCount":1,"slug":"/code","path":"/tag/code"},{"tag":"paper","totalCount":7,"slug":"/paper","path":"/tag/paper"}]}},
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