tjarvis91/vfai-x-3.5-9b-options
The tjarvis91/vfai-x-3.5-9b-options model is a 9 billion parameter vision-language model, fine-tuned from Qwen/Qwen3.5-9B-VL, specifically designed for quantitative finance and options trading analysis. It excels at chart pattern recognition and technical analysis, serving as a core component for automated trading decision-making. This model is optimized for local-first, sub-millisecond CPU inference, making it suitable for integration into desktop applications for real-time financial market analysis.
Loading preview...
VFAi-X 3.5 9B Options: Specialized Financial Vision-Language Model
This model, developed by tjarvis91, is a 9 billion parameter vision-language model (VLM) fine-tuned from Qwen/Qwen3.5-9B-VL, specifically engineered for quantitative finance and options trading. It is a legacy lineage model, with its core functionality now integrated into the Qovaryx Options Decoder desktop application, which offers sub-millisecond CPU inference without requiring a GPU.
Key Capabilities & Features
- Multimodal Financial Analysis: Processes both textual and visual data (e.g., stock charts) for comprehensive trading insights.
- Specialized Trading Models: Includes two distinct branches for research and ensemble building:
- V3.7 (main branch): Excels in text-heavy reasoning and small-N corpus discipline, demonstrating 100% brutal action_pass and strong performance on broad small-N corpus coverage. It is particularly effective for text-only fusion tasks.
- V6 Sniper (vfai-x-sniper-options branch): A high-conviction abstention specialist that, despite a low trade take-rate (~2%), yields the highest per-trade profit factors in the VFAi-X family, especially for penny stocks (37.18 PF). It serves as an excellent confirmation filter.
- Local-First Operation: Designed for desktop application integration, supporting local inference with vLLM acceleration and FP8 quantization.
- Broker Integration: Features a Tradier broker bridge for user-supplied paper/live credentials within the associated desktop app.
Good For
- Quantitative Finance Researchers: Ideal for studying specialized trading model lineages, ensemble building, and exploring high-conviction trading strategies.
- Algorithmic Trading Development: Provides components for automated options trading systems, particularly for chart analysis and decision support.
- Developers of Financial Applications: Suitable for integration into local-first desktop applications requiring fast, specialized financial inference capabilities.