랭그래프 활용한 주식 정보 도출 프로젝트

- yahooquery, ta 라이브러리 활용

project/STOCK_APP/.idea/.gitignore

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+# 디폴트 무시된 파일
+/shelf/
+/workspace.xml
+# 에디터 기반 HTTP 클라이언트 요청
+/httpRequests/
+# 쿼리 파일을 포함한 무시된 디폴트 폴더
+/queries/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

project/STOCK_APP/.idea/STOCK_APP.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="~/Source/project/STOCK_APP/.venv" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="PackageRequirementsSettings" />
+  <component name="PyDocumentationSettings" />
+  <component name="ReSTService" />
+  <component name="TestRunnerService" />
+</module>

project/STOCK_APP/.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

project/STOCK_APP/.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/STOCK_APP.iml" filepath="$PROJECT_DIR$/.idea/STOCK_APP.iml" />
+    </modules>
+  </component>
+</project>

project/STOCK_APP/.idea/pyLspTools.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="PyToolsState">
+    <option name="tools">
+      <map>
+        <entry key="black">
+          <value>
+            <ToolEntry />
+          </value>
+        </entry>
+        <entry key="pyrefly">
+          <value>
+            <ToolEntry />
+          </value>
+        </entry>
+        <entry key="pyright">
+          <value>
+            <ToolEntry />
+          </value>
+        </entry>
+        <entry key="ruff">
+          <value>
+            <ToolEntry />
+          </value>
+        </entry>
+        <entry key="ty">
+          <value>
+            <ToolEntry />
+          </value>
+        </entry>
+      </map>
+    </option>
+  </component>
+</project>

project/STOCK_APP/.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$/../.." vcs="Git" />
+  </component>
+</project>

project/STOCK_APP/backend/ai/embedding.py

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+from langchain_ibm import WatsonxEmbeddings
+from backend.config.settings import settings
+
+watson_embedding = WatsonxEmbeddings(
+    model_id="ibm/granite-embedding-278m-multilingual",
+    url=f"{settings.watsonx_url}",
+    api_key=f"{settings.watsonx_api_key}",
+    project_id=f"{settings.watsonx_project_id}",
+)

project/STOCK_APP/backend/ai/llm.py

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+from langchain_ibm import ChatWatsonx
+from backend.config.settings import settings
+from langchain_openai import ChatOpenAI
+
+watson_llm = ChatWatsonx(
+    model_id="ibm/granite-4-h-small",
+    url=f"{settings.watsonx_url}",
+    api_key=f"{settings.watsonx_api_key}",
+    project_id=f"{settings.watsonx_project_id}",
+    max_tokens=2000,
+)
+
+hugging_llm = ChatOpenAI(
+    base_url="https://router.huggingface.co/v1",
+    api_key=f"{settings.hf_token}",
+    model_name="Qwen/Qwen3-8B:nscale",
+)

project/STOCK_APP/backend/config/settings.py

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+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file="backend/.env", extra="ignore")
+    # 사용할 모델
+    watsonx_api_key: str = Field(alias="WATSONX_API_KEY")
+    watsonx_project_id: str = Field(alias="WATSONX_PROJECT_ID")
+    watsonx_url: str = Field(alias="WATSONX_URL")
+    hf_token: str = Field(alias="HF_TOKEN")
+
+settings = Settings()

project/STOCK_APP/backend/graph/nodes.py

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+from backend.services.news_service import get_news
+from backend.services.financial_service import get_financial_info
+from backend.services.technical_service import get_technical_info
+
+async def news_node(state):
+    news_list = await get_news(state["company_name"])
+    return {"news": news_list}
+
+async def financial_node(state):
+    financials = await get_financial_info(state["ticker"])
+    return {"financials": financials}
+
+async def technical_node(state):
+    technicals = await get_technical_info(state["ticker"])
+    return {"technicals": technicals}
+
+async def competitor_node(state):
+    pass
+
+async def report_node(state):
+    pass

project/STOCK_APP/backend/graph/state.py

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+from typing import TypedDict
+
+class StockAnalysis(TypedDict):
+    query:str
+    ticker:str
+    company_name:str
+    new:list
+    financials:dict
+    technicals:dict
+    competitors:list
+    report:str

project/STOCK_APP/backend/main.py

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+from fastapi import FastAPI
+from starlette.staticfiles import StaticFiles
+from contextlib import asynccontextmanager
+
+from backend.routers.stock_router import router as stock_router
+
+# from backend.repository.db_init import Base, SessionLocal, engine
+#
+# from backend.routers.evalu_router import router as evalu_router
+# from backend.routers.assistant_router import router as assistant_router
+# from backend.routers.call_router import router as call_router
+# from backend.repository.seed import seed_customers
+
+# @asynccontextmanager
+# async def lifespan(app: FastAPI):
+#     print("서버 시작")
+#
+#     # Base 에 등록된 모든 모델에 테이블 자동 생성
+#     Base.metadata.create_all(bind=engine)
+#     print("[DB] 테이블 생성 완료 (또는 이미 존재)")
+#
+#     db = SessionLocal()
+#     try:
+#         # 기본 user 데이터 삽입
+#         seed_customers(db)
+#     finally:
+#         db.close()
+#
+#     yield
+#     print("서버 종료")
+
+# app = FastAPI()
+# app = FastAPI(title="상담 LLM", version="1.0", lifespan=lifespan)
+app = FastAPI(title="$ Stock AI", version="1.0", description="""
+    #### $주식 AI 분석 FastAPI + LangGraph + yfinance + ChromaDB
+    
+    ### 주요 기능
+    | 번호 | 기능 | 엔드포인트 |
+    | --- | --- | --- |
+    |1 | 기업 종합 분석 | 'POST /api/stock/analysis'
+    """,
+)
+
+# static 폴더 지정
+# app.mount("/static", StaticFiles(directory="backend/static"), name="static")
+
+# 라우터 등록
+app.include_router(stock_router)
+# app.include_router(assistant_router)
+# app.include_router(evalu_router)

project/STOCK_APP/backend/routers/stock_router.py

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+from fastapi import APIRouter, Depends
+from sqlalchemy.orm import Session
+
+from backend.schemas.stock_schemas import StockAnalyzeReq
+from backend.services.stock_service import StockService
+
+router = APIRouter(prefix="/api/stock", tags=["기헙종합분석"])
+
+@router.post("/analyze", summary="기업 종합 분석", description="자연어로 해당기업을 요청하면 뉴스, 재무, 기술적, 경쟁사 분석을 수행합니다.", )
+async def stock_analyze(req:StockAnalyzeReq):
+    service = StockService()
+    return await service._extract(req.query)

project/STOCK_APP/backend/schemas/news_schemas.py

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+from pydantic import BaseModel
+
+
+class NewsItem(BaseModel):
+    title: str
+    snippet: str
+    url: str
+    source: str
+    date: str

project/STOCK_APP/backend/schemas/stock_schemas.py

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+from pydantic import BaseModel
+
+
+class StockAnalyzeReq(BaseModel):
+    query: str
+
+class TickerInfo(BaseModel):
+    ticker: str
+    company_name: str

project/STOCK_APP/backend/services/financial_service.py

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+import yahooquery as yf
+
+async def get_financial_info(ticker: str):
+    """
+    yfinance api 이용
+    """
+    company = yf.Ticker(ticker)
+
+    info = company.info
+    income = company.income_stmtf
+    balance = company.balance_sheet
+    cashflow = company.cash_flow
+
+    return {
+        # 시가 총액
+        "market_cap":info.get("marketCap"),
+        # 현재 주가
+        "current_price":info.get("currentPrice"),
+        # 매출
+        "revenue":income.loc["Total Revenue"].iloc[0],
+        # 손익계산
+        "operating_income":income.loc["Operating Income"].iloc[0],
+        # 순이익
+        "net_income":income.loc["Net Income"].iloc[0],
+        # 총자산
+        "total_assets":balance.loc["Total Assets"].iloc[0],
+        # 총부채
+        "total_debt":balance.loc["Total Debt"].iloc[0],
+        # 현금흐름
+        "free_cash_flow":cashflow.loc["Free Cash Flow"].iloc[0],
+        # per
+        "pe_ratio":info.get("trailingPE"),
+        # pbr
+        "pb_ratio":info.get("priceToBook")
+    }
+

project/STOCK_APP/backend/services/news_service.py

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+from langchain_community.utilities import GoogleSerperAPIWrapper
+
+from backend.schemas.news_schemas import NewsItem
+
+
+async def get_news(company_name: str):
+    """
+    구글 뉴스 검색 후
+    title, snippet, url, source, date 추출
+    """
+    search = GoogleSerperAPIWrapper(type="news")
+    results = await search.results(f"{company_name} stock news")
+    news_list = []
+
+    for item in results['news'][:10]:
+        news_list.append(
+            NewsItem(
+                title=item.get("title", ""),
+                snippet=item.get("snippet", ""),
+                url=item.get("link", ""),
+                source=item.get("source", ""),
+                date=item.get("date", "")
+            )
+        )
+
+    return news_list

project/STOCK_APP/backend/services/stock_service.py

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+from backend.schemas.stock_schemas import TickerInfo
+import yahooquery as yq
+from fastapi import HTTPException
+
+COMPANY_MAP = {
+    "NVDA": {
+        "company_name": "NVIDIA",
+        "aliases": ["엔비디아", "nvidia", "nvda"],
+    },
+    "AAPL": {
+        "company_name": "Apple",
+        "aliases": ["애플", "apple", "aapl"],
+    },
+    "MSFT": {
+        "company_name": "Microsoft",
+        "aliases": ["마이크로소프트", "microsoft", "msft"],
+    },
+    "TSLA": {
+        "company_name": "Tesla",
+        "aliases": ["테슬라", "tesla", "tsla"],
+    },
+    "GOOGL": {
+        "company_name": "Alphabet (Google)",
+        "aliases": ["구글", "google", "알파벳", "alphabet", "googl"],
+    },
+    "AMZN": {
+        "company_name": "Amazon",
+        "aliases": ["아마존", "amazon", "amzn"],
+    },
+    "META": {
+        "company_name": "Meta Platforms",
+        "aliases": ["메타", "meta", "페이스북", "facebook", "fb"],
+    },
+    "AMD": {
+        "company_name": "Advanced Micro Devices",
+        "aliases": ["amd"],
+    },
+    "INTC": {
+        "company_name": "Intel",
+        "aliases": ["인텔", "intel", "intc"],
+    },
+    "TSM": {
+        "company_name": "TSMC",
+        "aliases": ["tsmc", "tsm", "대만반도체"],
+    },
+    "QCOM": {
+        "company_name": "Qualcomm",
+        "aliases": ["퀄컴", "qualcomm", "qcom"],
+    },
+    "AVGO": {
+        "company_name": "Broadcom",
+        "aliases": ["브로드컴", "broadcom", "avgo"],
+    },
+    "MU": {
+        "company_name": "Micron Technology",
+        "aliases": ["마이크론", "micron", "mu"],
+    },
+    "V": {
+        "company_name": "Visa",
+        "aliases": ["비자", "visa", "v"],
+    },
+    "MA": {
+        "company_name": "Mastercard",
+        "aliases": ["마스터카드", "mastercard", "ma"],
+    },
+    "JPM": {
+        "company_name": "JPMorgan Chase",
+        "aliases": ["jp모건", "jpmorgan", "jpm"],
+    },
+    "JNJ": {
+        "company_name": "Johnson & Johnson",
+        "aliases": ["존슨앤존슨", "johnson", "jnj"],
+    },
+    "MSFT": {
+        "company_name": "Microsoft",
+        "aliases": ["마이크로소프트", "microsoft", "msft"],
+    },
+}
+
+class StockService:
+    """주식 분석"""
+    async def _extract(self, query: str):
+        """
+        사용자 쿼리에서 티커와 회사명 추출
+        1차 : Map 이용
+        2차 : yahooquery 이용
+
+        query : 엔비디아 분석해줘
+        """
+        keyword = self._extract_company_keyword(query)
+
+        # 1 차 Map
+        result = self._extract_ticker_from_query(keyword)
+
+        if result:
+            return result
+
+        # 2 차 yahooquery
+        result = await self._search_yahoo_symbol(keyword)
+
+        if result:
+            return result
+
+        raise HTTPException(status_code=30000, detail="종목을 찾을 수 없습니다.")
+
+    def _extract_ticker_from_query(self, query:str):
+        """
+        COMPANY_MAP 안에서 일치하는 회사 찾기
+        """
+
+        query = query.lower()
+
+        for ticker, info in COMPANY_MAP.items():
+            for alias in info["aliases"]:
+                if alias.lower() in query:
+                    return TickerInfo(ticker = ticker, company_name = info["company_name"])
+
+    def _extract_company_keyword(self, query:str):
+        """
+        query : 엔비디아 분석해줘
+        => 필요없는 문장 제거한 후 키워드만 추출
+        """
+
+        stop_words = [
+            "분석해줘", "분석해", "분석", "해줘", "해", "주가", "전망", "재무", "알려줘", "어때", "어떻게", ""
+        ]
+
+        keyword = query
+
+        for word in stop_words:
+            keyword = keyword.replace(word, "")
+
+        return keyword.strip()
+
+    async def _search_yahoo_symbol(self, keyword: str):
+        """
+        yahooquery 이용
+        """
+        try:
+            result = yq.search(keyword, first_quote=True)
+
+            if not result or (isinstance(result, dict) and "explanation" in result):
+                return None
+
+            return TickerInfo(ticker=result["symbol"], company_name=result["longname"])
+
+        except Exception:
+            return None

project/STOCK_APP/backend/services/technical_service.py

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+import yahooquery as yf
+from ta.trend import MACD, SMAIndicator
+from ta.momentum import RSIIndicator
+
+async def get_technical_info(ticker: str):
+    """
+    yfinance, ta api 이용
+    """
+
+    # 주가 데이터 다운로드
+    df = yf.download(ticker, period="1y", interval="1d")
+    # 종가 가져오기
+    close = df['Close'].squeeze()
+
+    macd = MACD(close)
+    macd_value = float(macd.macd().iloc[-1])
+    signal_value = float(macd.macd_signal().iloc[-1])
+    trend = "bullish" if macd_value > signal_value else "bearish"
+
+    return {
+        # 현재 주가
+        "current_price":close.iloc[-1],
+        # 20 일선
+        "sma20":float(SMAIndicator(close, window=20).sma_indicator().iloc[-1]),
+        # 60 일선
+        "sma60":float(SMAIndicator(close, window=60).sma_indicator().iloc[-1]),
+        # rsi
+        "rsi":float(SMAIndicator(close, window=14).rsi().iloc[-1]),
+        # macd
+        "macd":macd.macd(),
+        # macd_signal
+        "macd_signal": signal_value,
+        # trend
+        "trend":  trend,
+    }
+

project/STOCK_APP/map.txt

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+COMPANY_MAP = {
+    "NVDA": {
+        "company_name": "NVIDIA",
+        "aliases": ["엔비디아", "nvidia", "nvda"],
+    },
+    "AAPL": {
+        "company_name": "Apple",
+        "aliases": ["애플", "apple", "aapl"],
+    },
+    "MSFT": {
+        "company_name": "Microsoft",
+        "aliases": ["마이크로소프트", "microsoft", "msft"],
+    },
+    "TSLA": {
+        "company_name": "Tesla",
+        "aliases": ["테슬라", "tesla", "tsla"],
+    },
+    "GOOGL": {
+        "company_name": "Alphabet (Google)",
+        "aliases": ["구글", "google", "알파벳", "alphabet", "googl"],
+    },
+    "AMZN": {
+        "company_name": "Amazon",
+        "aliases": ["아마존", "amazon", "amzn"],
+    },
+    "META": {
+        "company_name": "Meta Platforms",
+        "aliases": ["메타", "meta", "페이스북", "facebook", "fb"],
+    },
+    "AMD": {
+        "company_name": "Advanced Micro Devices",
+        "aliases": ["amd"],
+    },
+    "INTC": {
+        "company_name": "Intel",
+        "aliases": ["인텔", "intel", "intc"],
+    },
+    "TSM": {
+        "company_name": "TSMC",
+        "aliases": ["tsmc", "tsm", "대만반도체"],
+    },
+    "QCOM": {
+        "company_name": "Qualcomm",
+        "aliases": ["퀄컴", "qualcomm", "qcom"],
+    },
+    "AVGO": {
+        "company_name": "Broadcom",
+        "aliases": ["브로드컴", "broadcom", "avgo"],
+    },
+    "MU": {
+        "company_name": "Micron Technology",
+        "aliases": ["마이크론", "micron", "mu"],
+    },
+    "V": {
+        "company_name": "Visa",
+        "aliases": ["비자", "visa", "v"],
+    },
+    "MA": {
+        "company_name": "Mastercard",
+        "aliases": ["마스터카드", "mastercard", "ma"],
+    },
+    "JPM": {
+        "company_name": "JPMorgan Chase",
+        "aliases": ["jp모건", "jpmorgan", "jpm"],
+    },
+    "JNJ": {
+        "company_name": "Johnson & Johnson",
+        "aliases": ["존슨앤존슨", "johnson", "jnj"],
+    },
+    "MSFT": {
+        "company_name": "Microsoft",
+        "aliases": ["마이크로소프트", "microsoft", "msft"],
+    },
+}
+
+
+
+COMPETITOR_MAP = {
+    "NVDA": ["AMD", "INTC", "TSM", "AVGO"],
+    "AMD": ["NVDA", "INTC", "TSM"],
+    "TSLA": ["RIVN", "GM", "F"],
+    "AAPL": ["MSFT", "GOOGL", "AMZN"],
+    "MSFT": ["AAPL", "GOOGL", "AMZN"],
+    "GOOGL": ["MSFT", "META", "AMZN"],
+}