CoreX 1.0 Officially Launched, Ushering in the Practical Era of AI-Driven Quantitative Research
NextLeap has officially launched its flagship product platform, CoreX 1.0, marking a significant step forward in the practical application of AI-driven quantitative technology in asset management. CoreX 1.0 focuses on three core functions: natural language Q&A, research signal generation, and interpretable report output, building an intelligent research platform that spans both traditional equities and crypto assets.
From “Search” to “Inquiry”: A Paradigm Shift in Research
A key highlight of CoreX 1.0 is its natural language interaction interface. Users can ask questions in conversational language—such as “How is the current momentum structure in the market evolving?”, “Which projects are showing strong on-chain value reversal signals?”, or “Which beta factors are suitable for increasing exposure under the current macro conditions?” The system responds with structured analysis and multi-factor modeling, producing strategy suggestions and visualized outputs.
Whether users come from a traditional quant background or specialize in Web3 asset allocation, CoreX provides a unified analytical language and cognitive framework, significantly reducing the data barrier and cost of strategy development.
Unified Multi-Asset Analysis: Bridging Traditional and Crypto Markets
CoreX 1.0 bridges the factor processing logic between traditional securities and on-chain assets, enabling a unified scoring and signal generation system for stocks, bonds, tokens, and more. The platform includes over 50 built-in strategy modules and a customizable factor engine, covering:
- Equity Factors: valuation metrics, earnings revisions, institutional holdings
- Crypto Factors: on-chain activity, smart contract call frequency, staking cycles, whale entry behavior
- Cross-Asset Factors: macro-cycle-based and asset-rotation-driven modeling strategies
This architecture positions CoreX as one of the few general-purpose platforms capable of integrating multi-asset research, AI strategy engines, and blockchain data into a single system.
Interpretable Automation: Building Trust in AI Decisions
Alongside automation, CoreX places a strong emphasis on explainability. For every generated strategy, the system automatically produces reports detailing factor contributions, historical backtesting results, risk structures, and performance under extreme scenarios. This transparency helps investors understand the logic and risk exposure behind each recommendation.
This not only satisfies institutional demands for model auditing and compliance but also enables non-quantitative users to develop trust in AI-based decision-making.
Benjamin Lane, Co-Founder and CTO of NextLeap, stated:
“The launch of CoreX 1.0 is a critical milestone in embedding AI into asset research—beyond the hype and into real-world usage. We believe the future of investment research will no longer depend on a few modeling experts, but instead become a collaborative creation process powered by intelligent systems.”
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