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Can Agentic Trading Systems Pay for Their Own Intelligence?

BACKGROUND
1 SIGNALFIRST DETECTED 14 July 2026
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How the story developed
Other feeds and industry voices
26 Mar
CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News

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

REPORT · WHAT · ArXiv CS.AIOPEN STORY
9 Sept
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets

arXiv:2609.05663v1 Announce Type: new Abstract: We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in production

REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 Apr
Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

arXiv:2604.22748v1 Announce Type: new Abstract: As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment

REPORT · WHAT · ArXiv CS.AIOPEN STORY
18 May
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design

arXiv:2605.15871v1 Announce Type: new Abstract: Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
6 May
Agentic AI Systems Should Be Designed as Marginal Token Allocators

arXiv:2605.01214v1 Announce Type: new Abstract: This position paper argues that agentic AI systems should be designed and evaluated as \emph{marginal token allocation economies}

REPORT · WHEN · ArXiv CS.AIOPEN STORY
1 Jul
CSTrader: A Testbed for Language-Grounded Trading in a Community-Driven Virtual Asset Market

arXiv:2606.31461v1 Announce Type: new Abstract: Niche asset markets, such as Counter-Strike 2 (CS2) weapon skins, are small, volatile, and heavily driven by community discussions

REPORT · HOW · ArXiv CS.AIOPEN STORY
1 Sept
RetailAgent: Structured Adverse Timing in Self-Conditioned Multimodal LLM Trading Agents

arXiv:2608.28399v1 Announce Type: new Abstract: In financial markets, a sequential policy that reacts systematically to price movements may become predictable to other market

REPORT · WHAT · ArXiv CS.AIOPEN STORY
6 May
Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework

arXiv:2605.01604v1 Announce Type: new Abstract: Existing evaluation frameworks for large language models -- including HELM, MT-Bench, AgentBench, and BIG-bench -- are designed for

REPORT · WHEN · ArXiv CS.AIOPEN STORY
Sources
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