OHLCV
PulseAugur coverage of OHLCV — every cluster mentioning OHLCV across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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DIVINE framework reconstructs financial indicators for improved stock prediction
Researchers have developed DIVINE, a novel pretraining framework for financial time-series data that reconstructs technical indicators from raw OHLCV (Open, High, Low, Close, Volume) history. This approach aims to impro…
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New diffusion models enhance weather, time-series, and financial forecasting
Researchers have developed new diffusion model-based approaches for probabilistic time-series forecasting. One method, detailed in arXiv, enhances weather forecasting by incorporating auxiliary conditional denoising tas…
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FactorEngine framework mines financial market signals using LLM-guided code generation
Researchers have developed FactorEngine (FE), a novel framework for discovering predictive signals in financial markets. FE treats factors as executable, Turing-complete code, separating logic revision from parameter op…
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New Benchmark Audits Vision-Language Models' Candlestick Understanding
Researchers have developed Martingale Doppelgänger-Eval, a new benchmark designed to audit the candlestick understanding capabilities of vision-language models (VLMs). This framework aims to distinguish between VLMs tha…