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This study evaluates whether test-time reasoning in large language models (like DeepSeek, GPT, and Gemini) improves net portfolio returns in trading, finding that additional reasoning does not reliably enhance economic outcomes across various conditions.
A tweet speculates on whether Meta's stock price will reach $700, echoing a similar query from another user.
Prior is a predictive intelligence platform built by Prior Software Inc. that helps users anticipate outcomes in sports, markets, and personal decisions by generating calibrated probabilities and weighted forecasts.
本文是《华尔街日报》中文网的早间市场快报，涵盖美国股市上涨、电动汽车减少中国石油消耗、中日地缘政治紧张、特朗普相关政治动态，以及英伟达收购Hugging Face等科技新闻。
US Treasury Secretary Bessent's efforts to control long-term Treasury yields failed within a day, prompting investors to consider shifting to gold or Bitcoin.
The article argues that many enterprise AI pilots fail because they use generative models for tasks better suited to discriminative models, highlighting differences in mathematical objectives and update mechanisms.
The article discusses how AI investments are increasingly funded through debt, and lenders are now repricing those loans amid changing risk perceptions.
Proposes an uncertainty-aware reinforcement learning framework for algorithmic trading that integrates distributional, epistemic, and aleatoric uncertainty using SHAP-weighted reconstruction, MC Dropout, and LSTM consensus. Outperforms traditional models on five major US stock indices.
The UK launched its first bond consolidated tape, providing investors with a single, real-time source of pricing and trading activity across the UK bond market for the first time, operated by ETS Connect UK under FCA supervision.
A blog post discussing how increased granularity in systems, such as tick sizes in financial markets and time slots for booking sports courts, can introduce strategic gaming and inefficiencies, arguing that finer choices are not always beneficial.
Cory Doctorow discusses John Quiggin's argument that financial markets have failed at accurate asset valuation, using Elon Musk's post-2020 flops and the persistence of crypto and AI investments as examples of an economy driven by speculation rather than utility.
This paper presents a systematic survey and evidence map of 77 studies on LLM-based trading agents, finding that architectural experimentation is expanding rapidly but evaluation protocols, execution semantics, and reproducibility remain critical bottlenecks.
This paper introduces AI-Trader, the first fully automated live benchmark for evaluating LLMs in financial decision-making across US stocks, A-shares, and cryptocurrencies. It highlights that general intelligence does not guarantee trading success and emphasizes the importance of risk control in autonomous agents.