LLM 100k portfolio management benchmark
PoC for something some the potential to yield some interesting results eventually.
LLM 100k portfolio management benchmark launched on February 22, 2025 with 20 votes, #755 of 5,999 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
LLM 100k Portfolio Management Benchmark is a proof of concept for testing large language models on portfolio management tasks. Available on GitHub, it provides a benchmark dataset or framework for evaluating how well language models perform when handling complex investment scenarios. The project is designed for researchers and developers working with LLMs in financial applications.
written from the facts on this page · September 2026
From the sources
LLM 100k portfolio management benchmark. Contribute to gqgs/llm100kbench development by creating an account on GitHub.
A tool for benchmarking and tracking Large Language Model (LLM) investment decisions. This project provides a framework to create, manage, and track investment portfolios generated by LLM models. It allows you to: The model executions and their current context can be seen here . The active model roster is configured in models.json . The weekly GitHub Actions workflow runs the benchmark every Monday, writes model orders under orders/<model>/<date>.json , stores the market snapshot in prices/<date>.csv , updates llm100kbench.db , and regenerates this README's current portfolio section. The project is intentionally limited to free API tiers. Models that require paid metered API access or…from github.com
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