Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Jan 202119922001200920172026
3 results for “dumb”
Marketron games: Self-propelling stocks vs dumb money and metastable dynamics of the Good, Bad and Ugly marketsq-fin.MF

Model predicts three market regimes: Good, Bad, and Ugly.

problem Understanding market dynamics and predicting different market states.
method Developed a nonlinear diffusion model of price formation with feedback from money flows and memory of past flows.
result The model predicts three distinct market regimes: Good, Bad, and Ugly.
market dynamicsprice formationmoney flowsnonlinear diffusionself-propulsion
2025-01-22abs ↗pdf ↗
Learning Generalized Causal Structure in Time-seriescs.LG

Develops a machine learning pipeline for learning causal structure in time-series data.

problem Current ML algorithms fail to learn causal structure in time-series data due to lack of temporal order consideration.
method Integrates machine learning with chaos theory using ChaosFEX feature extractor to learn generalized causal structure.
result Successfully learns generalized causal structure in time-series data.
causal structuretime-seriesmachine learningchaos theoryneurochaos
2021-12-06abs ↗pdf ↗