VELA: Korean Stock Market AI Analyst
VELA is a 7.6 billion parameter language model developed by intrect, specialized in analyzing the Korean stock market. Built upon the Qwen/Qwen2.5-7B-Instruct base model, VELA is fine-tuned with over 58,000 Supervised Fine-Tuning (SFT) samples and 26,000 Direct Preference Optimization (DPO) pairs, focusing on financial domain data.
Key Capabilities
- News Impact Analysis: Systematically infers the impact of stock-related news on prices.
- Reasoning Trace: Generates transparent, step-by-step analysis in Markdown format, showing the thought process.
- Securities Report Interpretation: Extracts key insights and investment implications from analyst reports.
- Structured Investment Reports: Produces comprehensive reports across seven sections, including Executive Summary, Market Trends, and Investment Opinion.
- Tool Calling: Integrates with external tools like Search, Price, and Investor for real-time data access (requires agent framework).
Performance & Optimization
VELA demonstrates strong performance in Korean financial contexts, showing improved scores in financial-related subjects on KMMLU benchmarks compared to its base model. It maintains base model capabilities without catastrophic forgetting. The model is available in BF16, GGUF (Q4_K_M), and MLX 4-bit formats, with MLX offering 3.2x faster inference and 73% reduced model size on Apple Silicon. Extensive DPO training has significantly reduced Chinese/English language leaks and improved Reasoning Trace format adherence to ~98%.
Ideal Use Cases
- Automated analysis of Korean stock market news.
- Generating structured investment research reports.
- Interpreting complex financial documents and analyst reports.
- Developing AI agents for financial decision support in the Korean market.