Results for "trading"

arXiv:2602.18846v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have achieved remarkable multimodal understanding and reasoning capabili

This article argues that gold’s failure to act as a safe haven during crises is not a contradiction, but a structural feature of modern markets. Algorithmic tra

The hardest part of AI in high-frequency trading is not the AI, it is the constraints. Large language models introduce inference latency measured in millisecond

I wanted a system that could discover trading strategies without me hand-tuning every parameter. So I built one. finclaw is an open-source quantitative finance

Introduction The world of sports card collecting has evolved significantly in recent years. From traditional physical cards to digital NFTs, the industry has tr

Single trading signals often fail across market conditions. This multi-factor strategy combines momentum, volatility, and trend strength to improve stability an

arXiv:2510.01169v2 Announce Type: replace-cross Abstract: Data is vital in enabling machine learning models to advance research and practical applications in fi

arXiv:2603.22305v1 Announce Type: cross Abstract: Large Language Models (LLMs) are rapidly transitioning from static Natural Language Processing (NLP) tasks inc

arXiv:2602.07023v2 Announce Type: replace-cross Abstract: Recent works have increasingly applied Large Language Models (LLMs) as agents in financial stock marke

The prediction market platform Kalshi says it's rolling out new guardrails to "preemptively block" political candidates and athletes from trading in their own m

The rollout marks the first step in Luno’s derivatives strategy, advancing the company’s push to become an ‘all-in-one’ investment app for users, following earl

Trading Inference-Time Compute for Adversarial Robustness