QuantCode Model: Specializing Language Models for Executable Algorithmic Trading Code

arXiv:2609.39420 · cs.CL, cs.LG, q-fin.TR · Submitted 2026-09-30 · Read on arXiv

cs.CL, cs.LG, q-fin.TR

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Benchmark — 23× in this paper · explained in 2 episodes
• Alignment — 6× in this paper · explained in 1 episode
• Agent Harness — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• LLM judge — 3× in this paper · explained in 2 episodes
• Agentic Evaluation — 2× in this paper · explained in 1 episode
• Failure Modes — 2× in this paper · explained in 3 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Model Merging — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• QuantCode-Bench: A Benchmark for Evaluating the Ability of Large Language Models to Generate Executable Algorithmic Trading Strategies
• FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models
• Qwen3 Technical Report
• GLM-5: from Vibe Coding to Agentic Engineering
• Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
• Code Llama: Open Foundation Models for Code
• StarCoder 2 and The Stack v2: The Next Generation
• DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
• SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
• An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
• Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
• Editing Models with Task Arithmetic
• Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
• Arcee's MergeKit: A Toolkit for Merging Large Language Models
• OpenHands: An Open Platform for AI Software Developers as Generalist Agents
• Gorilla: Large Language Model Connected with Massive APIs
• Training Software Engineering Agents and Verifiers with SWE-Gym

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