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quantitative analysis

30 articles about quantitative analysis in AI news

Claude AI Prompts Claim to Build Hedge Fund-Level Trading Strategies

A prompt collection claims to enable Claude to build and backtest hedge fund-level trading strategies. The prompts aim to automate quantitative analysis tasks typically performed by high-paid analysts.

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Awesome Finance Skills: Open-Source Plugin Adds Real-Time Market Analysis to AI Agents

Developer open-sources Awesome Finance Skills, a plug-and-play toolkit that gives AI agents real-time financial data access, sentiment analysis, and automated research report generation. The MIT-licensed package works with Claude Code, OpenClaw, and other popular agent frameworks.

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ChatGPT GPT-5.4 Pro's 'Thinking' Harness Shows Advanced Scientific Paper Comprehension, Including Figure Analysis

OpenAI's ChatGPT GPT-5.4 Pro, with its 'Thinking' harness, demonstrates advanced multimodal understanding of scientific papers, identifying key figures and extracting visual information beyond text parsing.

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Inside Balyasny's AI Research Engine: How Hedge Funds Are Deploying Next-Gen AI for Alpha Generation

Balyasny Asset Management has built a sophisticated AI research system using OpenAI's GPT-5.3 models, implementing rigorous evaluation frameworks and agent workflows to transform investment analysis. This represents a significant leap in how quantitative finance leverages artificial intelligence for competitive advantage.

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SandboxAQ Raises $950M+ for LQMs to Simulate Physics and Chemistry

SandboxAQ has raised over $950M and is backed by NVIDIA to build Large Quantitative Models (LQMs) that simulate physics and chemistry, aiming to invent new drugs and materials beyond the reach of LLMs.

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Anthropic's Claude Promoted for Stock Picking with 12-Prompt Guide

A viral X thread promotes using Anthropic's Claude AI to identify potential '100-bagger' stocks with a set of 12 prompts. This highlights growing experimentation with general-purpose LLMs for specialized financial analysis, despite inherent risks.

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Nvidia to Ship 1.19 Exabytes of HBM in 2026, Apple iPhone Memory 2x Larger

An analysis projects Nvidia will ship ~1.19 exabytes of HBM memory in 2026 for AI infrastructure, while Apple will ship ~2.4 exabytes of LPDDR5 for iPhones, putting AI's massive hardware scale in consumer market perspective.

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Claude Code's 'Shallow Thinking' Problem

Enterprise users report Claude Code sometimes skips deep analysis on complex tasks. Use specific prompting techniques and session management to ensure thorough reasoning.

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AI Engineer Gurisingh Turns Ed Thorp's Trading System into 10 ChatGPT Prompts

AI engineer Gurisingh has distilled the quantitative, probabilistic trading system of Ed Thorp—who beat blackjack and ran a 29-year winning hedge fund—into 10 actionable prompts for AI agents.

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Open-Sourced 'AI Investment Team' Agent Framework Released for Stock Research and Portfolio Management

An anonymous developer has open-sourced a multi-agent AI framework designed to automate stock research, market analysis, and portfolio management. The release adds to a growing trend of specialized, open-source financial AI tools.

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AI-Generated Text Volume Surpasses Human-Written Content for First Time, According to New Data

A new analysis indicates the total volume of AI-generated text now exceeds human-written output. This milestone suggests a fundamental shift in the content landscape.

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A User Claims a NotebookLM-Powered Movie Recommender Beats Netflix's Algorithm

A user built a personal movie recommendation system using Google's NotebookLM, claiming it outperforms Netflix's algorithm by leveraging deep, personalized analysis of their own viewing notes and preferences.

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How AI is Impacting Five Demand Forecasting Roles in Retail

AI is transforming demand forecasting, shifting roles from manual data processing to strategic analysis. The article identifies five key positions being reshaped, highlighting a move towards higher-value, AI-augmented work.

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Microsoft's AI Converts Standard Pathology Slides to Spatial Proteomics Maps, Cutting Costs and Time

Microsoft researchers developed an AI method to generate spatial proteomics data from routine H&E-stained pathology slides. This bypasses expensive, specialized equipment, potentially accelerating cancer analysis and expanding access.

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Andrej Karpathy's Deleted Tool: AI Exposure Scores for 342 Jobs, Finds $3.7T in High-Risk Wages

Andrej Karpathy briefly released a tool scoring 342 job types for AI exposure using an LLM, finding an average score of 5.3/10. The analysis identified $3.7 trillion in annual wages at high exposure (7+), with software developers at 9/10 and medical transcriptionists at 10/10.

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Claude AI Masters Financial Modeling: From Chatbot to Wall Street Analyst

Anthropic's Claude AI demonstrates sophisticated financial analysis capabilities, building complex DCF models, earnings reports, and investment theses that rival professional analysts. This development signals AI's growing role in high-stakes financial decision-making.

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POV Shopping Videos Threaten Luxury Brand Control, BoF Warns

BoF warns POV shopping videos risk luxury brand exclusivity by prioritizing authenticity over controlled imagery, with no disclosed revenue impact.

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LLM-as-a-Judge Framework Fixes Math Evaluation Failures

Researchers propose an LLM-as-a-judge framework for evaluating math reasoning that beats rule-based symbolic comparison, fixing failures in Lighteval and SimpleRL. This enables more accurate benchmarking of LLM math abilities.

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PerfectSquashBench Tests Image Model Anchoring Bias vs. Text Models

Wharton professor Ethan Mollick released PerfectSquashBench, a test showing image generation models exhibit stronger anchoring bias than text models, getting 'stuck' on initial directions and requiring context window clearing.

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Anthropic Survey: 81,000 People Rank AI Economic Hopes & Fears

Anthropic published new research analyzing the economic hopes and worries expressed by 81,000 people in a prior survey on AI. The findings aim to guide AI development toward public priorities.

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ROBOTIS Unveils AI Sapiens: 34 kg Humanoid with Dynamic Balance

ROBOTIS has introduced the AI Sapiens humanoid robot. The 34 kg platform is engineered to maintain balance during dynamic shifts and quick leg movements.

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Personalized LLM Benchmarks: Individual Rankings Diverge from Aggregate (ρ=0.04)

A new study of 115 Chatbot Arena users finds personalized LLM rankings diverge dramatically from aggregate benchmarks, with an average Bradley-Terry correlation of only ρ=0.04. This challenges the validity of one-size-fits-all model evaluations.

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Adobe, NVIDIA, WPP Launch Enterprise AI Agents for Marketing with OpenShell

NVIDIA expands collaborations with Adobe and WPP to build agentic AI systems for enterprise marketing workflows. The stack uses NVIDIA's OpenShell runtime to enforce security and policy compliance in multi-step creative and customer experience tasks.

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Alibaba's DCW Fixes SNR-t Bias in Diffusion Models, Boosts FLUX & EDM

Alibaba researchers developed DCW, a wavelet-based method to correct SNR-t misalignment in diffusion models. The fix improves performance for models like FLUX and EDM with minimal computational cost.

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Geoffrey Hinton: AI Breaks Historical Job Replacement Cycle

AI pioneer Geoffrey Hinton states that unlike past technological revolutions, AI can replace both physical and intellectual labor simultaneously, breaking the historical cycle of job displacement and creation.

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PRL-Bench: LLMs Score Below 50% on End-to-End Physics Research Tasks

Researchers introduced PRL-Bench, a benchmark built from 100 recent Physical Review Letters papers, testing LLMs on end-to-end physics research. Top models scored below 50%, exposing a significant capability gap for autonomous scientific discovery.

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TienKung Ultra Robot Wins Design Award at Beijing Humanoid Half-Marathon

The TienKung Ultra humanoid robot won the 'Best Design' award at the Beijing Humanoid Robot Half-Marathon, recognized for its natural running motion. It completed the full 21.1 km course in 1 hour and 15 minutes.

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Paper Proposes 'Artificial Scientist' as New AGI Definition

A new paper defines AGI as an 'artificial scientist'—a system that adapts as generally as a human scientist under computational limits. This reframes the goal from passing benchmarks to autonomous planning, causal learning, and exploration.

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MIT/Oxford/CMU Paper: AI Can Boost Then Harm Human Performance

A collaborative paper from MIT, Oxford, and Carnegie Mellon reports AI assistance can improve human performance initially, but may lead to degradation over time due to over-reliance. This challenges the assumption that AI augmentation yields monotonic benefits.

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The Hidden Cost of AI Translation Layers in Global Customer Support

An article argues that using a basic translation layer for multilingual AI customer support is a costly mistake. It fails to convey cultural context and appropriate tone, leading to higher churn and lower satisfaction in non-English markets. The solution requires treating multilingual support as a core operational capability, not just a technical add-on.

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