We empower investors by identifying trade opportunities through a unique blend of qualitative and quantitative data analysis. Our event-based approach simplifies the investment process, enabling professionals to uncover actionable insights and navigate complex market dynamics effectively.
At FinCatch, we focus on event-based analysis for intelligent stock selection, distinguishing ourselves from traditional methods. By not only emphasizing quantitative data but also leveraging qualitative insights, we provide a holistic view of the market that helps investors navigate complexities and seize opportunities.
We cluster qualitative data to identify interconnections that lead to common trends, enabling investors to anticipate market movements.
Our platform continuously monitors key factors from various events that influence trends, ensuring users stay ahead of the curve.
We identify and connect relevant stocks associated with emerging trends, providing actionable insights that drive investment decisions.
Experience a new level of research efficiency with our AI-powered assistant that helps process vast amounts of financial information. The system continuously monitors markets, identifies relevant patterns, and alerts users to potential opportunities, effectively serving as a second brain for investment research.
Recognitions and Awards
Empower Autonomous Decision-Making
The rise of online brokerages and robo advisors has made investing far more accessible for individuals, yet a gap remains in advanced research tools. FinCatch aims to fill this need by automating complex tasks like data analysis, modeling, and reporting to empower autonomous decision-making on par with professionals. Investors also are increasingly seeking more autonomy and control over their portfolios, beyond traditional advisory models.
Users pain points
The sheer volume of market events and data can overwhelm investors
Events often trigger a chain reaction
Tools Primarily Focus on quantitative Data
Insufficient time to synthesize all factors for optimal decision-making
What Makes Us Unique
FinCatch's Technological Edge
FinCatch revolutionizes investment research by transforming how financial professionals interact with market data. Our platform addresses the fundamental challenges of information overload and complex market relationships through an innovative fusion of advanced AI technologies.
Our platform seamlessly aggregates and processes diverse datasets from financial reports, news articles, social media, and market data. Through advanced language models, we extract and structure relevant information from unstructured sources, creating a rich, unified dataset that captures both current market sentiment and emerging trends. This comprehensive data foundation enables investors to overcome the limitations of traditional analysis methods.
Our platform leverages Large Language Model (LLM) agents to seamlessly aggregate and process diverse datasets from financial reports, news articles, social media, and market data. These agents extract and structure relevant information from unstructured sources, creating a rich, unified dataset that captures both current market sentiment and emerging trends.
Our automated analysis engine continuously monitors market developments and assesses their potential impact. By combining trend detection, anomaly identification and catalyst analysis, the system generates actionable investment recommendations.
Functionality | LLMs | FinCatch |
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Information Retrieval and Summarization |
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Question-Answering |
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Sentiment Analysis |
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Technical Analysis |
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Financial Analysis |
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Reasoning and Inference |
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Impact Estimation |
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