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Developer Builds Python Tool to Classify Financial News as Bullish, Bearish or Neutral

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A developer has created a lightweight financial news sentiment analyzer using Python and SerpApi, designed to help investors quickly process large volumes of market headlines. The tool accepts an asset name such as Apple, Tesla, or Bitcoin, then fetches recent related news via Google News through the SerpApi interface. Each article's title and snippet are analyzed by a custom sentiment engine that classifies the content as bullish, bearish, or neutral based on detected financial keywords. The project uses the modern serpapi.Client interface and requires only Python 3, a SerpApi API key, and the official serpapi package. The author describes it as a foundational prototype that can be extended into a more advanced financial research system.

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Developer Builds Python Tool to Classify Financial News as Bullish, Bearish or Neutral · ShortSingh