Initial project structure: MarketScanner - Fear-to-Fortune Trading Intelligence
Features: - FastAPI backend with stocks, news, signals, watchlist, analytics endpoints - React frontend with TailwindCSS dark mode trading dashboard - Celery workers for news fetching, sentiment analysis, pattern detection - TimescaleDB schema for time-series stock data - Docker Compose setup for all services - OpenAI integration for sentiment analysis
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backend/app/schemas/__init__.py
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backend/app/schemas/__init__.py
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"""Pydantic schemas."""
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from app.schemas.stock import StockCreate, StockResponse, StockWithPrice
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from app.schemas.news import NewsCreate, NewsResponse, NewsWithSentiment
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from app.schemas.signal import SignalResponse, SignalWithDetails
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from app.schemas.watchlist import WatchlistCreate, WatchlistResponse, WatchlistUpdate
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__all__ = [
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"StockCreate", "StockResponse", "StockWithPrice",
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"NewsCreate", "NewsResponse", "NewsWithSentiment",
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"SignalResponse", "SignalWithDetails",
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"WatchlistCreate", "WatchlistResponse", "WatchlistUpdate",
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]
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