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6 articles
Researchers from Princeton, Ant Group, and Stanford introduce AQuA, a two-part agentic framework designed to enhance the integrity of quantitative finance models by addressing bias in autonomous factor discovery and model development.
Learn how to create a simulation that calculates employee tender offer values, helping you understand how AI startups like Wayve use these strategic tools to attract and retain talent.
Learn to model and visualize venture capital returns using Python, analyzing the exponential growth demonstrated by Founders Fund's SpaceX investment that turned $600M into $50B.
A tutorial explores skfolio, a Python library for portfolio optimization that enables developers to build, test, and compare modern investment strategies using scikit-learn compatible tools.
Learn to build a data center valuation model using Python that mirrors the analysis techniques used by investors evaluating stakes in data center companies like Bridge Data Centres.
Learn how to create a simulated investment portfolio tracker that demonstrates how venture capital firms like Credo Ventures manage their investments and measure ROI.
