US StockDetailed Quotes

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Intelligent alpha atlas ETF

34.47

+0.08030.23%

Volume:794

Turnover:27.39K

Market Cap:23.79M

PE:- -

High:34.49

Open:34.49

Low:34.47

Close:34.39

52wk High:34.89

52wk Low:28.91

Shares:690.00K

Float Shares:690.00K

Volume Ratio:0.24

T/O Rate:0.12%

Dividend:0.23

Dividend Rate:0.66%

ROE:--

ROA:--

PB:--

PE(LYR):- -

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Overview Company News Filings

Productivity Slowdown Hurts Workers, According to Wharton's Siegel

Rocket Lab or Archer Aviation: Top Investor Calls One a ‘High-Conviction Stock,’ the Other a ‘Bad Bet’

Free Chatbot Deal Emerges as DeepSeek Usage Triples OpenAI Figures

OpenAI Boosts Free Tier to GPT-5.6 Luna, Enhances Paid Models

OpenAI: Plus & Pro Users Can Access Updated Version of Gpt‑5.6 Sol & New Slider in Chatgpt Starting Today

THOMSON REUTERS

Cars, luxury underperfom in bright Europe earnings season

Chloé Meley / Bloomberg

OpenAI Introduces GPT-5.6 "Promotion": Luna Price Slashed by 80%, Sol Debuts 2.5x Speed "Reverse Premium" Model

OpenAI Lowers Prices on Two GPT-5.6 Models Amid Rising Corporate Cost Sensitivity

OpenAI Concedes Slow Response as Codex Users Rage Over Vanishing Quotas

UBS Sticks to Their Buy Rating for GPT Group (GPTGF)

GPT Infraprojects to Host Q1 FY27 Earnings Call on August 3

GPT Healthcare to Host Q1 FY27 Earnings Call for Investors

‘The Correction Changes the Picture,’ Says Analyst About Alphabet Stock

Best ETFs to Invest In, According to AI Analyst, 7/23/2026

Jefferies Sticks to Their Hold Rating for GPT Group (GPTGF)

Openai: Chatgpt Work and Gpt‑5.6 is Available to Small Businesses Today

THOMSON REUTERS

The Humanoid Robot Mass Production Era Begins, Mirroring Historical Tech Booms and Unlocking a Golden Window for Component Suppliers

SenseTime Unveils 'U1 Pro' at WAIC: Rivaling OpenAI's GPT-Image 2 for 'Production-Ready' Design Output

Baichuan Intelligence's M4 Makes Global Debut at WAIC, Topping HealthBench Rankings and Outperforming GPT-5.5 by Over 10 Points

Humanoid Robot Industry Still Years Away from 'GPT Moment'

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HSBC thinks that the commercialisation of humanoid robots depends heavily on the AI model's capabilities, which in turn depends on the amount of data that is available for robot training. The embodied AI foundation models will \"require a significant step up in their model parameter sizes from the industry average of 4-7 billion, now to hundreds of billions,\" HSBC estimates. \"This could take many years, in our view, given the low data collection efficiency,\" it adds. Real machine data collection is costly because it requires a significant increase in robot installation bases, HSBC says.  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