Initial commit: A-share stock analysis project with screening, backtesting, and multi-factor analysis tools
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"""
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News and sentiment analysis for A-share stocks.
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Usage: python3 sentiment.py <function> <json_args>
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"""
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import sys
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import json
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def news(symbol, limit=20):
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"""Get recent news for a stock. Stub - to be implemented with AKShare."""
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return json.dumps({
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"status": "stub",
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"message": f"News for {symbol} — not yet implemented",
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"items": [],
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}, ensure_ascii=False)
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def market_sentiment():
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"""Get overall market sentiment score. Stub - to be implemented."""
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return json.dumps({
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"status": "stub",
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"message": "Market sentiment — not yet implemented",
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"score": None,
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}, ensure_ascii=False)
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FUNCTIONS = {
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"news": news,
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"market_sentiment": market_sentiment,
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}
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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print("Usage: sentiment.py <function> [json_args]")
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sys.exit(1)
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func_name = sys.argv[1]
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args = json.loads(sys.argv[2]) if len(sys.argv) > 2 else {}
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if func_name not in FUNCTIONS:
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print(f"Unknown function: {func_name}")
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sys.exit(1)
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result = FUNCTIONS[func_name](**args)
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print(result)
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