Vision-language models predict stock moves from candlestick charts well only during strong persistent trends but show weak performance and biases in typical mixed market conditions.
VISTA: Vision-language inference for training-free stock time-series analysis
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
MLLMs generate verbose, comprehensive, and repetitive aesthetic critiques unlike selective human ones, and reference-based metrics fail to detect this because they capture model house style instead of image-specific content.
citing papers explorer
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Do VLMs Truly "Read" Candlesticks? A Multi-Scale Benchmark for Visual Stock Price Forecasting
Vision-language models predict stock moves from candlestick charts well only during strong persistent trends but show weak performance and biases in typical mixed market conditions.
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Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models
MLLMs generate verbose, comprehensive, and repetitive aesthetic critiques unlike selective human ones, and reference-based metrics fail to detect this because they capture model house style instead of image-specific content.