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🎓 Incubated at the Hong Kong University of Science and Technology (Guangzhou), we're a research-driven team building toward financial agents evaluation, analysis & optimization — closing the last mile of financial Agent deployment.
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🤔 Most benchmarks test textbooks. Finance needs markets and visible decisions — generic scores rarely show whether an Agent can handle volatility, respect compliance gates, and make robust investment decisions.
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🏦 We deliver a standardized framework grounded in real business: deep evaluation beyond generic benchmarks, flexible tuning (hallucination detection, prompt & model routing, tool-call optimization), and full-chain analysis that turns traces into reusable data assets.
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🤝 From NextFund leaderboards to project-based consulting, we help institutions deploy financial agents they can trust. Scan the QR code below to learn more about our work and how you can get involved.
Paradoox AI
Toward Financial Agents Evaluation, Analysis & Optimization
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Repositories
Showing 3 of 3 repositories
- TradeLens Public
[EMNLP'26 Findings] Official Repository for the Paper "Can Agentic Trading Systems Pay for Their Own Intelligence?"
- .github Public
- DeepFund Public Forked from HKUSTDial/DeepFund
[NeurIPS'25] DeepFund: Pilot for Your Next Fund Investment
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