CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

1. 1Collect and preprocess daily trending financial news data from the Chinese market
2. 2Develop and train LLM-based models for macro and sector asset allocation using the CN-Buzz2Portfolio dataset
3. 3Evaluate the performance of the models using the provided benchmark
4. 4Refine and fine-tune the models to improve their decision-making capabilities

Quantitative analysts and AI researchers on a team can benefit from this dataset to develop and evaluate LLM-based financial decision-making models, while data scientists can utilize it to fine-tune their models for better performance

💡 The CN-Buzz2Portfolio dataset and benchmark enable the evaluation and development of LLM-based financial decision-making models in a reproducible and unbiased manner

📊 LLMs for finance: CN-Buzz2Portfolio dataset & benchmark for macro & sector asset allocation