From Natural Language to Executable Option Strategies via Large Language Models
#large language models #options strategies #natural language processing #financial automation #trading tools
📌 Key Takeaways
- Researchers developed a method to convert natural language into executable options strategies using large language models.
- The approach aims to simplify complex financial strategy creation for non-experts.
- It demonstrates the potential of AI in automating and democratizing financial trading tools.
- The system translates user instructions into precise, actionable trading commands.
📖 Full Retelling
arXiv:2603.16434v1 Announce Type: new
Abstract: Large Language Models (LLMs) excel at general code generation, yet translating natural-language trading intents into correct option strategies remains challenging. Real-world option design requires reasoning over massive, multi-dimensional option chain data with strict constraints, which often overwhelms direct generation methods. We introduce the Option Query Language (OQL), a domain-specific intermediate representation that abstracts option mark
🏷️ Themes
AI in Finance, Trading Automation
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Original Source
arXiv:2603.16434v1 Announce Type: new
Abstract: Large Language Models (LLMs) excel at general code generation, yet translating natural-language trading intents into correct option strategies remains challenging. Real-world option design requires reasoning over massive, multi-dimensional option chain data with strict constraints, which often overwhelms direct generation methods. We introduce the Option Query Language (OQL), a domain-specific intermediate representation that abstracts option mark
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