QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

Excerpt

arXiv:2609.39420v1 Announce Type: cross Abstract: Large language models are strong general-purpose code generators, but executable algorithmic trading remains a demanding specialization target: a model must translate a natural-language strategy specification into correct program logic for a specialized trading framework, execute on historical data, produce trades, and remain semantically faithful to the request. We study two complementary mechanisms for specializing language models for this sett