Code-Interactive Visual Reasoning for Financial Candlestick Understanding
cs.CV, cs.LG
Submitted: 2026-10-12
Updated: 2026-10-12
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
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- Qwen3-VL Technical Report
- MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
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- Do VLMs Truly "Read" Candlesticks? A Multi-Scale Benchmark for Visual Stock Price Forecasting
- ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
- Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
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- V-Thinker: Interactive Thinking with Images
- Grounded Reinforcement Learning for Visual Reasoning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models
- OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
- Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
- FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering
- UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videos
- FinMTM: A Multi-Turn Multimodal Benchmark for Financial Reasoning and Agent Evaluation
- Thyme: Think Beyond Images
- PyVision: Agentic Vision with Dynamic Tooling
- FinDocMRE: A Benchmark for Document-Level Financial Multimodal Reasoning Evaluation
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