finance

Recommends two GitHub repos that provide US stock investment guides for Chinese investors, covering basics like account opening, taxes, compliance, and fund transfers, suitable for beginners.

Introducing the Tiezhu website, a miniature version of Bloomberg that provides basic data, stock prices, and valuation information for 219 core companies in the global semiconductor supply chain (materials, equipment, wafers, memory, CPO, etc.).

The article discusses deploying AI agents in finance while ensuring compliance with NIS2/DORA regulations, focusing on transparency, guardrails, and accountability for potential data breaches.

This paper reviews and audits execution realism in LLM-based trading research, proposing clearer reporting standards for reproducibility and evaluation comparability.

PandaAI proposes a closed-loop neuro-symbolic LLM agent for sequential decision-making in quantitative finance, integrating market regime modeling and constrained alpha generation to address low SNR and non-stationarity in financial data, achieving significant improvements over state-of-the-art time-series models.

The article reports a widening sell-off in technology stocks, with South Korea's main index experiencing a significant drop.

A field report on building a multi-model finance drama game where each agent runs on a different lab's small model, demonstrating the engineering challenges and benefits of model heterogeneity.

AI is disrupting a traditionally comfortable finance role, highlighting the technology's growing impact on white-collar jobs.

The author discusses the challenge of finding a compelling 'killer use case' for OpenClaw to convince someone in finance to adopt it, comparing it to the simple pitch of email in 1999.

Ramp launches Stack, an AI-native operating system designed for accounting firms to automate monthly close, reconciliation, and workflows, aiming to address industry pressures like CPA shortages and rising client demands.

Stanford released a complete Hidden Markov Model framework, enabling everyone to use the same technique that hedge funds like Renaissance Technologies employ to find signals through noise.

Morgan Stanley plans to open its wealth management platforms, including ShareWorks and Equity Edge, to AI agents from thousands of corporations, potentially transforming how businesses interact with its trillion-dollar wealth management ecosystem.

LangChain showcases a macroeconomic research agent built with Deep Agents, LangSmith, and the You.com Finance Research API that analyzes GDP data, detects anomalies, and investigates structural and cyclical drivers at the sector level, producing structured, cited briefings.

Anthropic confidentially filed for an IPO, potentially the largest ever, as it joins other AI labs in seeking public funding to support expensive AI research and infrastructure.

Summarizes a deterministic, constraint-based approach for building AI agents in regulated finance, where the LLM only generates prose, numbers are cryptographically sealed, and auditability is ensured through separated layers.

This paper explores replacing scalar sentiment scores with high-dimensional FinBERT embeddings in a Transformer-based architecture for short-term stock price prediction, showing improved accuracy with Siamese-optimized embeddings.

R0Y OMNI 1.0 is a product launch that helps generate more accurate investment dashboards and reports, likely part of the R0Y AI Financial Studio.

A personal roundup of AI-powered task management tools across household, work, fitness, and finance domains, highlighting those that go beyond simple ChatGPT wrappers.

After Shopify's stock dropped 80%, CEO Tobi Lütke rebuilt the compensation structure to let employees choose their mix of stock, RSUs, cash, and Shop Cash, adjusting quarterly.

This paper introduces algometrics, a framework for time series forecasting under algorithmic feedback, proving that deployment risk differs from historical risk and is not identifiable from passive data alone. It provides methods for estimating deployment risk using interventions or randomized actions.