information linkages visible

Build Second Brain for Investment Research

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.

financial impact measurable

FinCatch

AI Investment Research Intelligence

FinCatch excels in trend identification by aggregating qualitative data from diverse sources and clustering it into meaningful themes. Our stock selection algorithm then evaluates stocks within the context of these identified trends and themes, ensuring that investment decisions are informed by a comprehensive understanding of the market dynamics. By integrating qualitative insights with quantitative analysis, we enable investors to pinpoint actionable opportunities and optimize their investment strategies.

Our Unique Approach

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.

Knowledge Graph Analytics

Our advanced knowledge graph technology maps intricate relationships between companies, markets and events. By understanding these complex interconnections, investors can identify emerging trends and potential investments catalysts before they become apparent to the broader market.

Advanced Trend Identification

We cluster qualitative data to identify interconnections that lead to common trends, enabling investors to anticipate market movements.

Dynamic Event Tracking

Our platform continuously monitors key factors from various events that influence trends, ensuring users stay ahead of the curve.

Comprehensive Stock Discovery

We identify and connect relevant stocks associated with emerging trends, providing actionable insights that drive investment decisions.

Partnerships

Empower Autonomous Decision-Making

Solve complex challenges with FinCatch

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

1

The sheer volume of market events and data can overwhelm investors

2

Events often trigger a chain reaction

3

Tools Primarily Focus on quantitative Data

4

Insufficient time to synthesize all factors for optimal decision-making

What Makes Us Unique

We effectively analyzes interconnected data and complex financial relationships to offer users efficient access to Quantified Event Driven Impact

Simplicity Analytical
Investment Research Portals
Market Intellegence Platforms & Databases
LLM-based Chatbots & Search Engines

FinCatch's Technological Edge

Making Complex Financial Information Accessible and Actionable

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.

Knowledge Graph and GNN Integration

At the core of our platform is a sophisticated knowledge graph that maps complex relationships between companies, sectors, and market events. This technology utilizes Graph Neural Networks (GNN) to identify and visualize key entity relationships, including ownership structures, partnerships, and event impacts. The result is a dynamic framework that uncovers hidden connections and dependencies influencing stock performance.

LLM Agents for Enhanced Data Processing

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.

Automated Intelligence System

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.