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FNSPID is a meticulously curated dataset designed to support research and applications in the field of financial news analysis within the context of time-series forecasting. Our dataset encompasses a wide range of financial news articles, providing a rich resource for developing and testing models aimed at understanding market trends, investor sentiment, and other critical financial indicators.
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## Key Features
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- **Extensive Coverage:** The dataset contains over 10 million entries, offering broad insights into the financial news landscape.
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FNSPID is a meticulously curated dataset designed to support research and applications in the field of financial news analysis within the context of time-series forecasting. Our dataset encompasses a wide range of financial news articles, providing a rich resource for developing and testing models aimed at understanding market trends, investor sentiment, and other critical financial indicators.
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[Link to Github Program](https://github.com/Zdong104/FNSPID_Financial_News_Dataset)
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## Key Features
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- **Extensive Coverage:** The dataset contains over 10 million entries, offering broad insights into the financial news landscape.
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