Solutions for Efficient Information Screening and AI Analytics with MarketPulse
To address the pain point of financial news information overload, MarketPulse offers a complete automated processing solution:
- Automated crawling and filtering: Automatically fetch the latest financial news via the Finnhub API and support configuring the TRUSTED_SOURCES parameter in config.py to only process content from trusted news sources (e.g. Reuters, Bloomberg)
- Intelligent Analytics Centralized: Integrate Google Gemini AI to process news in depth and automatically generate reports with three core dimensions: investment recommendations (specific directions), confidence index (quantitative percentage) and source reliability assessment
- On-demand customized push: Users can set US_MARKET_SYMBOLS to focus on specific stock symbols in config.py to make the system prioritize related news
Implementation steps: 1) install and configure the project environment; 2) set up a list of concerned stocks; 3) select trusted news sources; 4) keep the service running continuously through daemon mode. The system defaults to update automatically once every 30 minutes to ensure timeliness and avoid information bombardment.
This answer comes from the articleMarketPulse: a service that pushes AI analytics on financial news in real timeThe
May not be reproduced without permission:AI productivity tools " How can we address the problem of inefficient investment decisions due to information overload in financial news?
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