feat(phase-0): scaffold backend + web + docker + DB schema

- docker-compose.yml: timescaledb-ha (timescaledb 2.27 + vectorscale + pgvector + pgai)
  + backend (FastAPI, CUDA 12.1) + web (Next.js 14)
- docker-compose.gpu.yml: GPU profile overlay for RTX 3070 Ti
- build.bat: Windows bootstrap, auto-detects nvidia-smi and selects GPU/CPU compose
- backend: Dockerfile, pyproject.toml, FastAPI skeleton with /health and /health/db
- DB migration 001_init.sql: symbols (with trigram search), ohlcv_daily/1m (hypertables),
  macro_daily, trading_value_daily, news (vector embedding), predictions
  (with user_triggered flag for on-demand UX), prediction_outcomes, model_performance
- web: Next.js 14 + Tailwind + lightweight-charts placeholder
- README: KIS/DART/HuggingFace token issuance guides + 10 seed tickers + run instructions

backend/Dockerfile

@@ -0,0 +1,33 @@
+# CUDA 12.1 + Python 3.11. CPU 환경에서는 torch.cuda.is_available()==False 가 되어 자동 폴백.
+# Windows + Docker Desktop + WSL2 GPU 패스스루로 RTX 3070 Ti 에서 동작.
+FROM nvidia/cuda:12.1.1-runtime-ubuntu22.04 AS base
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1 \
+    PIP_NO_CACHE_DIR=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1 \
+    TZ=Asia/Seoul
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3.11 python3.11-venv python3-pip \
+    build-essential git curl ca-certificates tzdata \
+    libgomp1 \
+    && ln -sf /usr/bin/python3.11 /usr/local/bin/python \
+    && ln -sf /usr/bin/python3.11 /usr/local/bin/python3 \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY pyproject.toml ./
+# Install PyTorch (CUDA 12.1 wheels) first so the rest of deps don't downgrade it.
+RUN pip install --extra-index-url https://download.pytorch.org/whl/cu121 \
+        torch==2.3.1 torchvision==0.18.1
+RUN pip install --no-deps -e . || true
+RUN pip install -e .
+
+COPY app ./app
+
+EXPOSE 8000
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"]