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2023-12-16 04:00:00 UTC
Apple To Halt Sale Of Watch Series 9 And Ultra 2
AAPL
https://www.nasdaq.com/articles/apple-to-halt-sale-of-watch-series-9-and-ultra-2
null
null
2
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3
2023-12-15 00:00:00 UTC
Guru Fundamental Report for AAPL
AAPL
https://www.nasdaq.com/articles/guru-fundamental-report-for-aapl-28
null
null
4
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3
2023-12-14 00:00:00 UTC
Want to Be in the AI Millionaires Club? 3 Top Stocks You Need to Own Now
AAPL
https://www.nasdaq.com/articles/want-to-be-in-the-ai-millionaires-club-3-top-stocks-you-need-to-own-now
null
null
4
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2
2023-12-13 00:00:00 UTC
US STOCKS-Wall St subdued, day after rally on Fed statement
AAPL
https://www.nasdaq.com/articles/us-stocks-wall-st-subdued-day-after-rally-on-fed-statement
null
null
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3
2023-12-12 00:00:00 UTC
Should You Invest in the iShares Expanded Tech Sector ETF (IGM)?
AAPL
https://www.nasdaq.com/articles/should-you-invest-in-the-ishares-expanded-tech-sector-etf-igm-10
null
null
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3
2023-12-11 00:00:00 UTC
Can Shiba Inu Reach $0.01?
AAPL
https://www.nasdaq.com/articles/can-shiba-inu-reach-%240.01-4
null
null
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1
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3
2023-12-10 00:00:00 UTC
Conspiracy theorist Alex Jones reinstated on X after Musk poll
AAPL
https://www.nasdaq.com/articles/conspiracy-theorist-alex-jones-reinstated-on-x-after-musk-poll
null
null
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1
2023-12-09 00:00:00 UTC
This Is the Most Important AI Company You've Never Heard Of
AAPL
https://www.nasdaq.com/articles/this-is-the-most-important-ai-company-youve-never-heard-of
null
null
3
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3
2023-12-08 00:00:00 UTC
Apple (AAPL) Rises Higher Than Market: Key Facts
AAPL
https://www.nasdaq.com/articles/apple-aapl-rises-higher-than-market%3A-key-facts-0
null
null
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3
4
2
2023-12-07 00:00:00 UTC
Guru Fundamental Report for AAPL
AAPL
https://www.nasdaq.com/articles/guru-fundamental-report-for-aapl-25
null
null
4
2
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1
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1
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2
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3
2023-12-06 00:00:00 UTC
3 Stocks to Watch From the Prospering Computer Industry
AAPL
https://www.nasdaq.com/articles/3-stocks-to-watch-from-the-prospering-computer-industry
null
null
3
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2
2023-12-05 00:00:00 UTC
High-Quality ETFs for Long-Term Investors
AAPL
https://www.nasdaq.com/articles/high-quality-etfs-for-long-term-investors
null
null
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3
2023-12-04 00:00:00 UTC
US STOCKS-Wall St rally loses steam as data-heavy week looms, yields rise
AAPL
https://www.nasdaq.com/articles/us-stocks-wall-st-rally-loses-steam-as-data-heavy-week-looms-yields-rise
null
null
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3
2023-12-03 00:00:00 UTC
Guru Fundamental Report for AAPL
AAPL
https://www.nasdaq.com/articles/guru-fundamental-report-for-aapl-24
null
null
4
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3
2023-12-02 00:00:00 UTC
Warren Buffett's Best 3 Artificial Intelligence (AI) Stocks
AAPL
https://www.nasdaq.com/articles/warren-buffetts-best-3-artificial-intelligence-ai-stocks
null
null
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2
2023-12-01 00:00:00 UTC
US STOCKS-Wall St edges higher as Powell comments bolster peak-rate bets
AAPL
https://www.nasdaq.com/articles/us-stocks-wall-st-edges-higher-as-powell-comments-bolster-peak-rate-bets
null
null
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2
2023-11-30 00:00:00 UTC
Japan aircon king Daikin looks to custom chips for energy savings
AAPL
https://www.nasdaq.com/articles/japan-aircon-king-daikin-looks-to-custom-chips-for-energy-savings
null
null
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1
2023-11-29 00:00:00 UTC
ANALYSIS-After Munger's death, Berkshire succession comes into focus
AAPL
https://www.nasdaq.com/articles/analysis-after-mungers-death-berkshire-succession-comes-into-focus-0
null
null
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3
2023-11-28 00:00:00 UTC
AAPL Quantitative Stock Analysis
AAPL
https://www.nasdaq.com/articles/aapl-quantitative-stock-analysis-7
null
null
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3
2023-11-27 00:00:00 UTC
3 Music Streaming Stocks Set to Hit the Right Notes in 2024
AAPL
https://www.nasdaq.com/articles/3-music-streaming-stocks-set-to-hit-the-right-notes-in-2024
null
null
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3
2023-11-26 00:00:00 UTC
Wall St Week Ahead-Broadening of U.S. stock rally feeds investor optimism
AAPL
https://www.nasdaq.com/articles/wall-st-week-ahead-broadening-of-u.s.-stock-rally-feeds-investor-optimism-0
null
null
3
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5
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2
2023-11-25 00:00:00 UTC
Take My Money! 3 Stocks to Buy Hand Over Fist
AAPL
https://www.nasdaq.com/articles/take-my-money-3-stocks-to-buy-hand-over-fist
null
null
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2
2023-11-24 00:00:00 UTC
Active Growth ETF TCHP a Top 5 Performer YTD
AAPL
https://www.nasdaq.com/articles/active-growth-etf-tchp-a-top-5-performer-ytd
null
null
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1
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3
2023-11-23 00:00:00 UTC
ANALYSIS-Britain's Black Friday shoppers go second-hand in hunt for value
AAPL
https://www.nasdaq.com/articles/analysis-britains-black-friday-shoppers-go-second-hand-in-hunt-for-value
null
null
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3
2023-11-22 00:00:00 UTC
Apple Stock (NASDAQ:AAPL): Can Siri Keep Up in the ChatGPT Age?
AAPL
https://www.nasdaq.com/articles/apple-stock-nasdaq%3Aaapl%3A-can-siri-keep-up-in-the-chatgpt-age
null
null
4
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2023-11-21 00:00:00 UTC
Apple (NASDAQ:AAPL): Boring, But Commands Massive Pricing Power
AAPL
https://www.nasdaq.com/articles/apple-nasdaq%3Aaapl%3A-boring-but-commands-massive-pricing-power
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2023-11-20 00:00:00 UTC
2 Beaten-Down Growth Stocks That Could Rocket 42% to 67% Higher, According to Wall Street
AAPL
https://www.nasdaq.com/articles/2-beaten-down-growth-stocks-that-could-rocket-42-to-67-higher-according-to-wall-street
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2023-11-19 00:00:00 UTC
$248 Billion of Warren Buffett's Portfolio Is Invested in 7 Stocks That Check Off This 1 Important Box
AAPL
https://www.nasdaq.com/articles/%24248-billion-of-warren-buffetts-portfolio-is-invested-in-7-stocks-that-check-off-this-1
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2023-11-18 00:00:00 UTC
This Magnificent Artificial Intelligence (AI) Stock Is About to Step on the Gas, and It Is Cheap Right Now
AAPL
https://www.nasdaq.com/articles/this-magnificent-artificial-intelligence-ai-stock-is-about-to-step-on-the-gas-and-it-is
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2023-11-17 00:00:00 UTC
After Hours Most Active for Nov 17, 2023 : MMM, QQQ, MATV, AAPL, NU, VCSH, MSFT, STRO, AMZN, KEY, VZ, BAC
AAPL
https://www.nasdaq.com/articles/after-hours-most-active-for-nov-17-2023-%3A-mmm-qqq-matv-aapl-nu-vcsh-msft-stro-amzn-key-vz
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2023-11-16 00:00:00 UTC
Is WisdomTree U.S. LargeCap Dividend ETF (DLN) a Strong ETF Right Now?
AAPL
https://www.nasdaq.com/articles/is-wisdomtree-u.s.-largecap-dividend-etf-dln-a-strong-etf-right-now-11
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null
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2023-11-15 00:00:00 UTC
US lawmakers question Apple over Jon Stewart's China content
AAPL
https://www.nasdaq.com/articles/us-lawmakers-question-apple-over-jon-stewarts-china-content-0
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2023-11-14 00:00:00 UTC
Pre-Market Most Active for Nov 14, 2023 : THRX, AAPL, PLTR, SQQQ, AMD, TSLA, TQQQ, BMY, SE, ONON, NIO, KO
AAPL
https://www.nasdaq.com/articles/pre-market-most-active-for-nov-14-2023-%3A-thrx-aapl-pltr-sqqq-amd-tsla-tqqq-bmy-se-onon-nio
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2023-11-13 00:00:00 UTC
Should Invesco NASDAQ 100 ETF (QQQM) Be on Your Investing Radar?
AAPL
https://www.nasdaq.com/articles/should-invesco-nasdaq-100-etf-qqqm-be-on-your-investing-radar-9
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2023-11-12 00:00:00 UTC
The β€˜iPhone For AI’: Betting Big On Artificial Intelligence
AAPL
https://www.nasdaq.com/articles/the-iphone-for-ai%3A-betting-big-on-artificial-intelligence
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2023-11-11 00:00:00 UTC
Firing on All Cylinders Indeed
AAPL
https://www.nasdaq.com/articles/firing-on-all-cylinders-indeed
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2023-11-10 00:00:00 UTC
Nearly Half of Warren Buffett's More Than $6 Billion in Annual Dividend Income Comes From Just 3 Stocks
AAPL
https://www.nasdaq.com/articles/nearly-half-of-warren-buffetts-more-than-%246-billion-in-annual-dividend-income-comes-from
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2023-11-09 00:00:00 UTC
3 Tech Stocks to Buy in the β€˜Green Zone’
AAPL
https://www.nasdaq.com/articles/3-tech-stocks-to-buy-in-the-green-zone
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2023-11-08 00:00:00 UTC
AMD and Intel Respond to CPU Competitors Qualcomm and Apple
AAPL
https://www.nasdaq.com/articles/amd-and-intel-respond-to-cpu-competitors-qualcomm-and-apple
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2023-11-07 00:00:00 UTC
US STOCKS-S&P 500, Nasdaq poised for longest win streak in 2 years on rate hopes
AAPL
https://www.nasdaq.com/articles/us-stocks-sp-500-nasdaq-poised-for-longest-win-streak-in-2-years-on-rate-hopes
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2023-11-06 00:00:00 UTC
Analyzing the S&P 500 index, NASDAQ and the Russell 2000 charts
AAPL
https://www.nasdaq.com/articles/analyzing-the-sp-500-index-nasdaq-and-the-russell-2000-charts
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2023-11-05 00:00:00 UTC
Wall Street Is Hating on Apple Right Now. Here Are 5 Reasons I'm Not.
AAPL
https://www.nasdaq.com/articles/wall-street-is-hating-on-apple-right-now.-here-are-5-reasons-im-not.
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2023-11-04 00:00:00 UTC
AAPL and GOOGL’s Post-Earnings Slump: Time to Buy?
AAPL
https://www.nasdaq.com/articles/aapl-and-googls-post-earnings-slump%3A-time-to-buy
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2023-11-03 00:00:00 UTC
After Hours Most Active for Nov 3, 2023 : XOM, QQQ, CD, RSI, RTX, ENB, ING, PAGP, NU, AAPL, CSCO, AMZN
AAPL
https://www.nasdaq.com/articles/after-hours-most-active-for-nov-3-2023-%3A-xom-qqq-cd-rsi-rtx-enb-ing-pagp-nu-aapl-csco-amzn
null
null
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2023-11-02 00:00:00 UTC
Apple's Loaded Product Lineup Headed Into the Holidays Is Good News for Investors
AAPL
https://www.nasdaq.com/articles/apples-loaded-product-lineup-headed-into-the-holidays-is-good-news-for-investors
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2023-11-01 00:00:00 UTC
The Wealth Builder’s Toolkit: Top 3 Stocks to Supercharge Your Portfolio
AAPL
https://www.nasdaq.com/articles/the-wealth-builders-toolkit%3A-top-3-stocks-to-supercharge-your-portfolio
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2023-10-31 00:00:00 UTC
Can Q4 Earnings Give a New Lease of Life to Apple ETFs?
AAPL
https://www.nasdaq.com/articles/can-q4-earnings-give-a-new-lease-of-life-to-apple-etfs
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2023-10-30 00:00:00 UTC
After Hours Most Active for Oct 30, 2023 : RTX, AMBP, PINS, AYX, QQQ, AAPL, ING, GOOGL, GMED, AMZN, MSFT, AMD
AAPL
https://www.nasdaq.com/articles/after-hours-most-active-for-oct-30-2023-%3A-rtx-ambp-pins-ayx-qqq-aapl-ing-googl-gmed-amzn
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2023-10-29 00:00:00 UTC
3 No-Brainer Vanguard ETFs to Buy Now
AAPL
https://www.nasdaq.com/articles/3-no-brainer-vanguard-etfs-to-buy-now
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2023-10-28 00:00:00 UTC
Verizon's Stock Is Now Too Good to Pass Up
AAPL
https://www.nasdaq.com/articles/verizons-stock-is-now-too-good-to-pass-up
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2023-10-27 00:00:00 UTC
Tata to make iPhones in India after buying Wistron business
AAPL
https://www.nasdaq.com/articles/tata-to-make-iphones-in-india-after-buying-wistron-business
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null
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2023-10-26 00:00:00 UTC
Is WisdomTree U.S. Quality Dividend Growth ETF (DGRW) a Strong ETF Right Now?
AAPL
https://www.nasdaq.com/articles/is-wisdomtree-u.s.-quality-dividend-growth-etf-dgrw-a-strong-etf-right-now-9
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2023-10-25 00:00:00 UTC
NEWSMAKER-Foxconn founder Terry Gou lies low in Taiwan election as China tax probe reverberates
AAPL
https://www.nasdaq.com/articles/newsmaker-foxconn-founder-terry-gou-lies-low-in-taiwan-election-as-china-tax-probe
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2023-10-24 00:00:00 UTC
3 AI Stocks to Buy Now to Turn $5,000 Into $15,000
AAPL
https://www.nasdaq.com/articles/3-ai-stocks-to-buy-now-to-turn-%245000-into-%2415000
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2023-10-23 00:00:00 UTC
Taiwan presidential frontrunner assails China over Foxconn probe
AAPL
https://www.nasdaq.com/articles/taiwan-presidential-frontrunner-assails-china-over-foxconn-probe
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2023-10-22 00:00:00 UTC
Where Will TSMC Stock Be in 1 Year?
AAPL
https://www.nasdaq.com/articles/where-will-tsmc-stock-be-in-1-year-1
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2023-10-21 00:00:00 UTC
3 Top Stocks To Buy Now and Hold Forever
AAPL
https://www.nasdaq.com/articles/3-top-stocks-to-buy-now-and-hold-forever-0
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2023-10-20 00:00:00 UTC
"Magnificent Seven" Earnings Underway: ETFs in Spotlight
AAPL
https://www.nasdaq.com/articles/magnificent-seven-earnings-underway%3A-etfs-in-spotlight
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2023-10-19 00:00:00 UTC
Should Fidelity Nasdaq Composite Index ETF (ONEQ) Be on Your Investing Radar?
AAPL
https://www.nasdaq.com/articles/should-fidelity-nasdaq-composite-index-etf-oneq-be-on-your-investing-radar-8
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2023-10-18 00:00:00 UTC
Notable Wednesday Option Activity: AAPL, TMO, ENPH
AAPL
https://www.nasdaq.com/articles/notable-wednesday-option-activity%3A-aapl-tmo-enph
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2023-10-17 00:00:00 UTC
Magnificent 7 Earnings Charts Ranked
AAPL
https://www.nasdaq.com/articles/magnificent-7-earnings-charts-ranked
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2023-10-16 00:00:00 UTC
3 Stocks I Want to Own for the Rest of My Life
AAPL
https://www.nasdaq.com/articles/3-stocks-i-want-to-own-for-the-rest-of-my-life
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null
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2023-10-15 00:00:00 UTC
The β€˜Millionaire Playbook’ for Easy Profits in the AI Boom
AAPL
https://www.nasdaq.com/articles/the-millionaire-playbook-for-easy-profits-in-the-ai-boom
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2023-10-14 00:00:00 UTC
3 Reasons to Buy Apple Stock and Never Sell
AAPL
https://www.nasdaq.com/articles/3-reasons-to-buy-apple-stock-and-never-sell
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2023-10-13 00:00:00 UTC
Wait, Is the DOJ Lawsuit Actually Bullish For Alphabet?
AAPL
https://www.nasdaq.com/articles/wait-is-the-doj-lawsuit-actually-bullish-for-alphabet
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null
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2023-10-12 00:00:00 UTC
US STOCKS-Futures rise as Treasury yields drop ahead of inflation data
AAPL
https://www.nasdaq.com/articles/us-stocks-futures-rise-as-treasury-yields-drop-ahead-of-inflation-data
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2023-10-11 00:00:00 UTC
Is Apple Priced to Perfection, Based on Its Current P/E?
AAPL
https://www.nasdaq.com/articles/is-apple-priced-to-perfection-based-on-its-current-p-e
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null
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2023-10-10 00:00:00 UTC
US STOCKS-Wall Street gains as Fed officials strike dovish tone
AAPL
https://www.nasdaq.com/articles/us-stocks-wall-street-gains-as-fed-officials-strike-dovish-tone-0
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2023-10-09 00:00:00 UTC
Should new tech rules apply to Microsoft's Bing, Apple's iMessage, EU asks
AAPL
https://www.nasdaq.com/articles/should-new-tech-rules-apply-to-microsofts-bing-apples-imessage-eu-asks
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2023-10-08 00:00:00 UTC
The Nasdaq Might Bottom in October, According to This Wall Street Veteran -- 2 Super Stocks to Buy Hand Over Fist
AAPL
https://www.nasdaq.com/articles/the-nasdaq-might-bottom-in-october-according-to-this-wall-street-veteran-2-super-stocks-to
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null
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2023-10-07 00:00:00 UTC
Forget Disney. Apple (NASDAQ:AAPL) Should Buy Nintendo to Jolt iPhone, Vision Pro Sales
AAPL
https://www.nasdaq.com/articles/forget-disney.-apple-nasdaq%3Aaapl-should-buy-nintendo-to-jolt-iphone-vision-pro-sales
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null
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2023-10-06 00:00:00 UTC
Microsoft Stock: Don't Overlook This AI Pick Hiding in Plain Sight
AAPL
https://www.nasdaq.com/articles/microsoft-stock%3A-dont-overlook-this-ai-pick-hiding-in-plain-sight
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2023-10-05 00:00:00 UTC
3 Unstoppable Nasdaq Stocks to Buy and Hold for the Next Decade
AAPL
https://www.nasdaq.com/articles/3-unstoppable-nasdaq-stocks-to-buy-and-hold-for-the-next-decade
null
null
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2023-10-04 00:00:00 UTC
Here's the Latest Must-See News From These 2 Dow Jones Stocks
AAPL
https://www.nasdaq.com/articles/heres-the-latest-must-see-news-from-these-2-dow-jones-stocks
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2023-10-03 00:00:00 UTC
US STOCKS-Futures fall as 10-year yields hit fresh 16-yr highs; jobs data in focus
AAPL
https://www.nasdaq.com/articles/us-stocks-futures-fall-as-10-year-yields-hit-fresh-16-yr-highs-jobs-data-in-focus
null
null
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2023-10-02 00:00:00 UTC
Stocks Mixed on Higher Bond Yields and Strength in Big Tech
AAPL
https://www.nasdaq.com/articles/stocks-mixed-on-higher-bond-yields-and-strength-in-big-tech
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null
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2023-10-01 00:00:00 UTC
Wall St Week Ahead-US stock market’s powerhouses tested by soaring bond yields
AAPL
https://www.nasdaq.com/articles/wall-st-week-ahead-us-stock-markets-powerhouses-tested-by-soaring-bond-yields-0
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null
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2023-09-30 00:00:00 UTC
Apple Has an iPhone Problem
AAPL
https://www.nasdaq.com/articles/apple-has-an-iphone-problem
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null
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2023-09-29 00:00:00 UTC
Hopes rise for IPO recovery after September deal rush
AAPL
https://www.nasdaq.com/articles/hopes-rise-for-ipo-recovery-after-september-deal-rush
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null
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2023-09-28 00:00:00 UTC
Case Builds for Tech Dividends
AAPL
https://www.nasdaq.com/articles/case-builds-for-tech-dividends
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2023-09-27 00:00:00 UTC
Apple (AAPL) Stock Sinks As Market Gains: What You Should Know
AAPL
https://www.nasdaq.com/articles/apple-aapl-stock-sinks-as-market-gains%3A-what-you-should-know-6
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2023-09-26 00:00:00 UTC
French authorities received a software update for Apple's iPhone 12 - ministry source
AAPL
https://www.nasdaq.com/articles/french-authorities-received-a-software-update-for-apples-iphone-12-ministry-source-0
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2023-09-25 00:00:00 UTC
3 Stocks Under $2 That Could Rally More Than 90%, According to Wall Street
AAPL
https://www.nasdaq.com/articles/3-stocks-under-%242-that-could-rally-more-than-90-according-to-wall-street
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2023-09-24 00:00:00 UTC
3 Chip Stocks Crushing the Market With More Room to Run
AAPL
https://www.nasdaq.com/articles/3-chip-stocks-crushing-the-market-with-more-room-to-run
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null
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2023-09-23 00:00:00 UTC
Tim Cook and Apple Are Running Circles Around Mark Zuckerberg's Metaverse Vision
AAPL
https://www.nasdaq.com/articles/tim-cook-and-apple-are-running-circles-around-mark-zuckerbergs-metaverse-vision
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2023-09-22 00:00:00 UTC
3 Stocks Delivering $2.8 Billion in Dividends to Warren Buffett Each Year
AAPL
https://www.nasdaq.com/articles/3-stocks-delivering-%242.8-billion-in-dividends-to-warren-buffett-each-year
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Netflix (NFLX) Resurrects Onimusha with Epic Anime Revival
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Keep on Buying Apple Stock as Initial iPhone 15 Pre-Orders Look Strong, Says Top Analyst
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End of preview. Expand in Data Studio

NASDAQ News Multi-LLM Scores

127,176 financial news articles scored by 11 state-of-the-art LLMs for sentiment and risk assessment.

This dataset takes the same articles from FNSPID / FinRL_DeepSeek and re-scores them using multiple LLMs with varying reasoning effort levels and summary inputs. It enables direct cross-model comparison of financial sentiment analysis on identical articles.

Motivation

When we began using the FNSPID dataset for RL trading agent research, we encountered two practical issues:

  1. Cost of full-text scoring. Many articles are thousands of tokens long. Scoring each one directly with reasoning-capable LLMs (GPT-5, o3, Claude Opus) is prohibitively expensive at scale β€” especially across multiple effort levels and models.

  2. Low quality of extractive summaries. The original dataset includes four extractive summaries (LSA, Luhn, TextRank, LexRank). Upon manual inspection, we found these summaries often lose important semantic nuances β€” key context about whether a financial event is positive or negative is frequently missing or ambiguous, making them unreliable as scoring input.

Our solution: generate high-quality abstractive summaries first, then score those summaries. We used GPT-5 and o3 to produce concise, financially-relevant summaries that preserve the sentiment-critical context. These summaries can then be reused across many scoring models at a fraction of the cost of scoring full articles.

This also opened the door to a systematic study: how does the summary quality and reasoning effort affect the resulting sentiment/risk scores? We generated GPT-5 and GPT-5-mini summaries at 12 different reasoning Γ— verbosity combinations each (4 Γ— 3 grid), and scored them with models at varying effort levels. The results show that both summary quality and scoring effort produce meaningful differences (see Analysis below).

Key Features

  • 11 scoring models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, GPT-5, o3, o4-mini, GPT-4.1, GPT-4.1-mini, GPT-4.1-nano, GPT-5-mini, GPT-5.4-nano
  • 60 score columns (30 sentiment + 30 risk) across different model/effort/input combinations
  • 26 summary variants: GPT-5 and GPT-5-mini summaries at 4 reasoning Γ— 3 verbosity levels, plus o3 summaries
  • Same articles, different models β€” enables apples-to-apples comparison
  • Effort level comparison β€” how does reasoning effort (high/medium/low/minimal) affect scoring?
  • Summary input comparison β€” how does the quality of input summary affect downstream scores?

Dataset Structure

File Size Description
scores.parquet 12 MB All 60 score columns + article metadata
summaries.parquet 329 MB Article text + core summaries used for scoring
summaries_gpt5_grid.parquet 323 MB GPT-5 summary variants (4 reasoning Γ— 3 verbosity)
summaries_gpt5mini_grid.parquet 320 MB GPT-5-mini summary variants (4 reasoning Γ— 3 verbosity)

Quick Start

import pandas as pd

# Load scores only (12 MB)
scores = pd.read_parquet("hf://datasets/HYL/NASDAQ-News-Multi-LLM-Scores/scores.parquet")

# Compare Claude Opus vs GPT-5 sentiment
print(scores[['sentiment_opus_gpt5sum', 'sentiment_gpt5_high_gpt5sum']].describe())

# Check cross-model agreement
cols = [c for c in scores.columns if c.startswith('sentiment_') and 'gpt5sum' in c]
print(scores[cols].corr())
# Load with summaries for full context
summaries = pd.read_parquet("hf://datasets/HYL/NASDAQ-News-Multi-LLM-Scores/summaries.parquet")
merged = scores.merge(summaries, on=['Date', 'Article_title', 'Stock_symbol'])

Scoring Pipeline

Article (full text) ─────────────────→ o3-high, o4-mini-high (fulltext)
    β”‚
    β”œβ”€β†’ 4 extractive summaries ─────→ (included, not used for LLM scoring)
    β”‚
    β”œβ”€β†’ GPT-5 summary ──┬──→ Claude Opus/Sonnet/Haiku
    β”‚   (R=high V=high)  β”œβ”€β”€β†’ GPT-5 {high,med,low,min}
    β”‚                    β”œβ”€β”€β†’ o3-high
    β”‚                    β”œβ”€β”€β†’ GPT-5-mini
    β”‚                    └──→ GPT-4.1-mini (5 summary variants)
    β”‚
    β”œβ”€β†’ o3 summary ─────┬──→ GPT-5 {high,med,low,min}
    β”‚                    β”œβ”€β”€β†’ o3 {high,med,low}
    β”‚                    β”œβ”€β”€β†’ o4-mini {high,med,low}
    β”‚                    β”œβ”€β”€β†’ GPT-4.1 / GPT-4.1-mini / GPT-4.1-nano
    β”‚
    └─→ Title only ─────────→ GPT-5.4-nano (100% coverage)

Model Versions

Model API Model ID Snapshot Scored
Claude Opus 4.5 claude-opus-4-5 β€” 2026-01
Claude Sonnet 4.5 claude-sonnet-4-5-20250929 β€” 2026-01
Claude Haiku 4.5 claude-haiku-4-5-20251001 β€” 2026-01
GPT-5 gpt-5 gpt-5-2025-08-07 2025-08 ~ 09
GPT-5-mini gpt-5-mini gpt-5-mini-2025-08-07 2025-08 ~ 09
o3 o3 β€” 2025-07 ~ 09
o4-mini o4-mini o4-mini-2025-04-16 2025-07 ~ 09
GPT-4.1 gpt-4.1 gpt-4.1-2025-04-14 2025-08 ~ 09
GPT-4.1-mini gpt-4.1-mini gpt-4.1-mini-2025-04-14 2025-08 ~ 09
GPT-4.1-nano gpt-4.1-nano gpt-4.1-nano-2025-04-14 2025-08 ~ 09
GPT-5.4-nano gpt-5.4-nano β€” 2026-04

Summary generators:

Summary Generator Model Generated
gpt_5_summary (12 RΓ—V variants) GPT-5 (gpt-5-2025-08-07) 2025-08 ~ 09
gpt_5_mini_summary (12 RΓ—V variants) GPT-5-mini (gpt-5-mini-2025-08-07) 2025-08 ~ 09
o3_summary o3 2025-07 ~ 09

Upstream (not included, already open-source):

Column Naming Convention

Score columns follow: {sentiment|risk}_{model}_{effort}_{input_source}

Suffix Meaning
_gpt5sum Scored using GPT-5 generated summary
_o3sum Scored using o3 generated summary
_fulltext Scored directly from full article text
_title Scored from article title only
_gpt5sum_Rhigh_Vmed Scored using GPT-5 summary (reasoning=high, verbosity=medium)

All scores are integer 1-5 scale (1 = most negative/highest risk, 5 = most positive/lowest risk).

Score Columns (scores.parquet)

Metadata

Column Description
Date Publication date (YYYY-MM-DD)
Article_title Article headline
Stock_symbol Ticker symbol
Url Source URL
Publisher News publisher
Author Article author

Full-text Scores (61% coverage)

Column Model Effort
sentiment_o3_high_fulltext o3 high
risk_o3_medium_fulltext o3 medium
sentiment_o4mini_high_fulltext o4-mini high
risk_o4mini_medium_fulltext o4-mini medium

Claude Models β€” by GPT-5 summary (61% coverage)

sentiment_opus_gpt5sum, risk_opus_gpt5sum, sentiment_sonnet_gpt5sum, risk_sonnet_gpt5sum, sentiment_haiku_gpt5sum, risk_haiku_gpt5sum

GPT-5 β€” 4 effort levels Γ— 2 summary sources (61% coverage)

By GPT-5 summary: {s|r}_gpt5_{high|medium|low|minimal}_gpt5sum (8 cols)

By o3 summary: {s|r}_gpt5_{high|medium|low|minimal}_o3sum (8 cols)

o3 β€” 3 efforts Γ— o3 summary + gpt5 summary (61% coverage)

{s|r}_o3_{high|medium|low}_o3sum (6 cols), {s|r}_o3_high_gpt5sum (2 cols)

o4-mini β€” 3 efforts Γ— o3 summary (61% coverage)

{s|r}_o4mini_{high|medium|low}_o3sum (6 cols)

GPT-4.1 family (61% coverage)

Column pattern Model Summary input
`{s r}_gpt41_o3sum` GPT-4.1
`{s r}_gpt41mini_gpt5sum_R{x}_V{y}` GPT-4.1-mini
`{s r}_gpt41mini_o3sum` GPT-4.1-mini
`{s r}_gpt41nano_o3sum` GPT-4.1-nano

GPT-5-mini (61% coverage)

sentiment_gpt5mini_high_gpt5sum, risk_gpt5mini_high_gpt5sum

GPT-5.4-nano β€” title only (100% coverage)

sentiment_nano_title, risk_nano_title

Summary Files

summaries.parquet β€” Core summaries used for scoring

Column Generator Coverage
Article β€” (original text) 61%
Lsa_summary LSA algorithm 61%
Luhn_summary Luhn algorithm 61%
Textrank_summary TextRank 61%
Lexrank_summary LexRank 61%
gpt_5_summary GPT-5 (R=high, V=high) 61%
o3_summary o3 61%

summaries_gpt5_grid.parquet β€” GPT-5 summary reasoning Γ— verbosity grid

12 columns: gpt5_R{reasoning}_V{verbosity} where reasoning ∈ {high, medium, low, minimal} and verbosity ∈ {high, medium, low}.

gpt5_Rhigh_Vhigh is the same text as gpt_5_summary in summaries.parquet.

summaries_gpt5mini_grid.parquet β€” GPT-5-mini summary grid

Same 4Γ—3 structure: gpt5mini_R{reasoning}_V{verbosity}

Coverage

  • 127,176 total articles (89 NASDAQ tickers, 2009–2024)
  • 61.2% (77,871) have LLM summaries and summary-based scores (articles with text content)
  • 100% for GPT-5.4-nano scores (title-only, no article text needed)
  • 38.8% of rows lack article content in the source data β†’ NaN for all summary-based columns

Analysis

Cross-Model Correlation

Models using the same summary input form high-correlation clusters. Nano (title-only) is the outlier β€” limited input produces systematically different scores.

Cross-Model Correlation

Score Distribution

Each model has distinct scoring tendencies. Nano is most conservative (60.8% neutral), o3 is most opinionated (37.1% neutral).

Score Distribution

Effort Level Impact

Higher reasoning effort produces meaningfully different scores. Adjacent levels differ ~12%, high vs minimal: 28%.

Effort Disagreement

Summary Source Impact

Switching from GPT-5 summary to o3 summary changes 17–22% of scores, with minimal-effort scoring being most sensitive.

Summary Impact

RL Trading Results

Using these scores for RL trading agent training (PPO, SB3):

  • GPT-5 high vs low effort: 16.6% disagreement rate on same articles; high vs minimal: 28.0%
  • GPT-5 summary vs o3 summary: 18.2% disagreement β€” summary source affects scoring comparably to effort level
  • Best single-model Sharpe: PPO with GPT-5-mini high scores achieved Sharpe 1.032 on NASDAQ backtest (2019-2023)
  • Multi-seed validation (5 seeds Γ— 4 algorithms): PPO most robust (0.777Β±0.098), SAC highest mean (0.780Β±0.047)

Citation

If you use this dataset, please cite:

@dataset{hyl2026nasdaq_multi_llm,
  title={NASDAQ News Multi-LLM Scores},
  author={HYL},
  year={2026},
  url={https://huggingface.co/datasets/HYL/NASDAQ-News-Multi-LLM-Scores},
  note={Multi-LLM re-scoring of FNSPID financial news articles}
}

Original data sources:

@misc{dong2024fnspid,
  title={FNSPID: A Comprehensive Financial News Dataset in Time Series},
  author={Zihan Dong and Xinyu Fan and Zhiyuan Peng},
  year={2024},
  eprint={2402.06698},
  archivePrefix={arXiv}
}

@misc{staf2025finrl,
  title={Enhancing Financial Trading with LLM-Augmented Sentiment Analysis},
  author={Ben Staf},
  year={2025},
  eprint={2502.07393},
  archivePrefix={arXiv}
}

License

CC BY-NC 4.0 (inherited from upstream FNSPID dataset). Non-commercial use only.

Links

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