Q: AI-Based Sentiment Analysis for Stock News
Hi,
Would it be possible to add AI-powered sentiment analysis for stock news? This feature could tag news articles as Positive, Neutral, or Negative, helping investors quickly assess market sentiment.
Why This Would Be Valuable:
- Saves time by summarizing news sentiment at a glance.
- Improves decision-making with AI-driven insights.
- Enhances user experience by making stock research more efficient.
A simple sentiment score (e.g., -1 to +1) would be helpful in understanding the impact of news. Looking forward to your thoughts!
Thanks! šš
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SterlingStockPicker
Feb 20, 2025A: Thank you for your thoughtful question and for your interest in Sterling Stock Picker! We truly appreciate your feedback and your ideas on enhancing the stock research experience.
Great newsāour primary news section on the homepage already applies sentiment tagging, categorizing articles as Positive, Neutral, or Negative to help investors quickly gauge market sentiment at a glance.
Additionally, weāve integrated FinleyAI, our intelligent financial assistant, with our featured news articles. This means you can ask FinleyAI about the latest market news, sentiment trends, stock insights, and even how specific news might impact your portfolioāproviding a more personalized and AI-driven investing experience.
Your suggestion of a sentiment score (e.g., -1 to +1) is a great idea, and we will pass this along to our development team for further consideration. Weāre always looking for ways to improve the platform and appreciate user-driven ideas like yours!
Thanks again for your valuable inputāwe love having engaged users like you in the SSP community! If you have any other ideas or questions, feel free to reach out.
Wishing you a successful 2025 and happy investing!
Best regards,
Sterling Stock Picker Team
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Verified purchaser
I appreciate the sentiment tagging and FinleyAI integration in Sterling Stock Picker. To further enhance user experience, could you consider:
1. Sentiment Scores: Assigning a numerical value (e.g., -1 to +1) to indicate the strength of sentiment for each news article.
2. Brief Explanations: Providing a short AI-generated rationale for each sentiment tag (Positive, Neutral, Negative).