FinAgents provides a comprehensive toolkit for designing, configuring, and executing autonomous AI agents tailored to financial tasks. By leveraging large language models and real-time market data APIs, it automates strategy backtesting, portfolio rebalancing, risk evaluation, and performance reporting. The framework offers a modular architecture with pluggable data connectors, model adapters, execution engines, and reporting modules, allowing users to mix and match components. FinAgents also includes sample agent templates, logging utilities, and deployment scripts to accelerate development and ensure reproducibility in live or simulated environments.

RiskLab AI provides a comprehensive library for financial AI, integrating cutting-edge technology with academic rigor to offer reliable and reproducible risk management solutions. The platform includes tools for quantitative research, data analysis, and efficient cooperation among high-performance computing environments. Each resource is documented with usage examples, ensuring users can quickly get started and derive actionable insights. RiskLab AI's mission is to facilitate the practical application of academic research in finance, enabling robust risk assessments and informed decision-making.