MarketPulse brings AI-generated financial analysis reports to a professional investment research level through a three-tier quality assurance system. The system begins with a credibility rating of the raw news (based on source authority and historical accuracy), followed by a Gemini model that performs an event impact analysis, and ultimately generates actionable recommendations containing specific numerical metrics. Quality control points include:
- Cross-verification mechanism to confirm key facts against at least two independent sources
- Sentiment polarity analysis to quantify how positive/negative market sentiment is
- Historical backtesting module to automatically assess the accuracy of past recommendations
Third-party evaluations show that the system reports a recommendation accuracy (3-day validation period) of 68.51 TP3T, significantly higher than the industry average of 521 TP3T. In particular, during the earnings season, the forecast error for earnings estimates is controlled within ±31 TP3T. The report also innovatively introduces Confidence Score, which visualizes the degree of certainty of the analysis as a percentage to help users judge the credibility of the recommendations.
This answer comes from the articleMarketPulse: a service that pushes AI analytics on financial news in real timeThe
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