2 papers
cs.CL2026
QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code
Alexey Chernysh, Orkhan Ekhtibarov, Dmitry Zmitrovich
Large language models are strong general-purpose code generators, but executable algorithmic trading remains a demanding specialization target: a model must translate a natural-lan…
cs.CL2026
QuantCode-Bench: A Benchmark for Evaluating the Ability of Large Language Models to Generate Executable Algorithmic Trading Strategies
Alexey Khoroshilov, Alexey Chernysh, Orkhan Ekhtibarov +2
Large language models have demonstrated strong performance on general-purpose programming tasks, yet their ability to generate executable algorithmic trading strategies remains und…