Gorilla Terminal is an AI-driven investment research platform designed to simplify and enhance the research process for investors and traders. It provides rich macroeconomic data, robust risk management tools, regression analysis, and sector overviews. The platform’s intuitive design allows users to effortlessly access and analyze financial data, perform value-at-risk analysis, and leverage supply chain insights. By integrating machine learning, Gorilla Terminal accelerates research time and improves decision-making for professional traders, analysts, and portfolio managers.

Autogen Quant Invest Agent leverages large language models to automate the full quantitative investment pipeline. It connects to data APIs for market, fundamental, and alternative datasets, performs feature engineering and statistical analysis, and formulates algorithmic trading strategies. The agent orchestrates backtesting across historical periods, generates performance reports, and conducts risk assessments including drawdown, Sharpe ratio, and VaR. With customizable modules, users can tune strategy parameters, integrate custom indicators, and automate portfolio rebalancing rules. The framework’s modular chain-of-agents design allows seamless integration with order execution systems or data warehouses. This tool streamlines systematic research, reduces manual scripting, and empowers quantitative analysts to rapidly prototype, evaluate, and deploy investment models.