ChronoLLM

About ChronoLLM

ChronoLLM (Bittensor Subnet 38) is a platform for training and evaluating large language models (LLMs) that are chronologically consistent, meaning each model is trained strictly on data available up to its cutoff date. This eliminates lookahead bias, making the models suitable for financial backtesting, alpha research, and historical analysis where future information must not influence predictions. The system uses a competitive, weekly round-based process where miners submit models, which are rigorously tested for data leaks and quality using secure enclaves and a multi-stage evaluation pipeline. Models can be self-hosted, downloaded, or accessed via API, and are particularly aimed at quantitative researchers, asset managers, and institutions requiring verifiable, point-in-time AI analysis.