AI Is Powerful.But Not Yet Trustworthy in Finance.
Here's why current AI approaches fail in stock trading and financial decision-making:
No Explainability
Direct buy/sell recommendations with no reasoning or transparency
Inconsistent Decisions
Same model produces different recommendations across time
Preference Instability
Model A says Buy, Model B says Sell — which one to trust?
Budget Allocation
How to allocate the budget and cashflow across different strategies and market regime?
Fake News Manipulation
AI models can be misled by misinformation, leading to wrong actions
Accountability Gap
Market volatility causes losses → who is responsible?
Introducing DeepFund
Live Benchmarking System For AI Investment
We evaluate the trading capability of LLM across various financial markets given a unified environment. The LLM shall ingest external information, drive a multi-agent system, and make trading decisions. The LLM performance will be presented in a trading arena view across various dimensions.
Multi-Agent Collaboration
Collaborative decision-making across specialized AI agents
Workflow Transparency
From data to signal, from signal to decision, from decision to execution, all are transparent and explainable
AI-Driven Governance
Rigorous evaluation and monitoring frameworks
Explainable Results
Transparent and interpretable investment recommendations
Trusted AI Infrastructurefor Financial Institutions
Enterprise-grade AI middleware that enables secure, transparent, and reliable AI adoption in finance.
AI Model Evaluation
Comprehensive testing and monitoring frameworks for production AI systems
Risk Management
Intelligent decision support with built-in risk assessment and compliance
Explainable AI
Transparent and interpretable AI decisions for regulatory compliance
Enterprise Integration
Seamless integration with existing financial infrastructure and workflows
Trusted • Intelligent • Financial
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