Offshore
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The Long Investor
$PFE will this find support on the 24 year old support line?
-6.5% dividend too
-FWD PE: 9.5
Risk v Reward looks good on the trend line. https://t.co/r0OSHCmwOS
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$PFE will this find support on the 24 year old support line?
-6.5% dividend too
-FWD PE: 9.5
Risk v Reward looks good on the trend line. https://t.co/r0OSHCmwOS
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Offshore
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The Long Investor
I donโt think this is a good idea.
People already struggle with their triggers and when the market is closed it gives people some relief and clarity.
This is just another way to increase transaction fees.
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I donโt think this is a good idea.
People already struggle with their triggers and when the market is closed it gives people some relief and clarity.
This is just another way to increase transaction fees.
JUST IN: The New York Stock Exchange is considering a proposal for 24/7 trading, according to FT.
In other words, the stock market would never close much like crypto markets are now.
Should 24/7 trading be approved? https://t.co/IFOyrvsJNN - The Kobeissi Lettertweet
Offshore
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Giuliano
$BUR's award on YPF-related assets are compounding at a 5.42% rate. https://t.co/xOnXk22FB4
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$BUR's award on YPF-related assets are compounding at a 5.42% rate. https://t.co/xOnXk22FB4
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Dimitry Nakhla | Babylon Capitalยฎ
10 QUALITY STOCKS THAT REDUCED SHARE COUNT >20% LAST 10 YEARS ๐ต
๐ธ Visa $V
โข2013 shares: 2.62B
โขLTM shares: 2.07B
โข% reduction: 21%
โขEPS boost: 26%
๐ณ Mastercard $MA
โข2013 shares: 1.21B
โขLTM shares: 946.00M
โข% reduction: 22%
โขEPS boost: 28%
๐ฉป Elevance Health $ELV
โข2013 shares: 303.80M
โขLTM shares: 236.03M
โข% reduction: 22%
โขEPS boost: 28%
โ๏ธ Starbucks $SBUX
โข2013 shares: 1.52B
โขLTM shares: 1.15B
โข% reduction: 24%
โขEPS boost: 31%
๐ข NVR Inc $NVR
โข2013 shares: 4.86M
โขLTM shares: 3.44M
โข% reduction: 29%
โขEPS boost: 41%
๐ MSCI Inc $MSCI
โข2013 shares: 121.07M
โขLTM shares: 79.84M
โข% reduction: 34%
โขEPS boost: 51%
๐ Dominoโs Pizza $DPZ
โข2013 shares: 57.72M
โขLTM shares: 35.40M
โข% reduction: 38%
โขEPS boost: 61%
๐ฒ Apple $AAPL
โข2013 shares: 26.08B
โขLTM shares: 15.71B
โข% reduction: 40%
โขEPS boost: 66%
๐๏ธ Loweโs $LOW
โข2013 shares: 1.15B
โขLTM shares: 584.00M
โข% reduction: 49%
โขEPS boost: 96%
๐ AutoZone $AZO
โข2013 shares: 36.58M
โขLTM shares: 18.37M
โข% reduction: 49%
โขEPS boost: 96%
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***EPS BOOST means how much earnings per share increased (assuming 0 growth) solely from share buybacks๐ฐ
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๐ผ ๐จ๐๐๐ง๐ ๐๐ช๐ฎ๐๐๐๐ , ๐๐ก๐จ๐ค ๐ ๐ฃ๐ค๐ฌ๐ฃ ๐๐จ ๐ ๐จ๐ฉ๐ค๐๐ ๐ง๐๐ฅ๐ช๐ง๐๐๐๐จ๐, ๐๐จ ๐ฌ๐๐๐ฃ ๐ ๐๐ค๐ข๐ฅ๐๐ฃ๐ฎ ๐ช๐จ๐๐จ ๐๐ฉ๐จ ๐ค๐ฌ๐ฃ ๐๐ช๐ฃ๐๐จ ๐ฉ๐ค ๐๐ช๐ฎ ๐๐๐๐ ๐๐ฉ๐จ ๐ค๐ฌ๐ฃ ๐จ๐๐๐ง๐๐จ
๐ฝ๐ฎ ๐๐ค๐๐ฃ๐ ๐ฉ๐๐๐จ, ๐ฉ๐๐ ๐๐ค๐ข๐ฅ๐๐ฃ๐ฎ ๐ง๐๐๐ช๐๐๐จ ๐ฉ๐๐ ๐ฉ๐ค๐ฉ๐๐ก ๐ฃ๐ช๐ข๐๐๐ง ๐ค๐ ๐ค๐ช๐ฉ๐จ๐ฉ๐๐ฃ๐๐๐ฃ๐ ๐จ๐๐๐ง๐๐จ ๐๐ซ๐๐๐ก๐๐๐ก๐ ๐ฉ๐ค ๐ฉ๐๐ ๐ฅ๐ช๐๐ก๐๐, ๐ฉ๐๐ช๐จ ๐๐ฃ๐๐ง๐๐๐จ๐๐ฃ๐ ๐ฎ๐ค๐ช๐ง ๐ฅ๐๐ง๐๐๐ฃ๐ฉ๐๐๐ ๐ค๐ฌ๐ฃ๐๐ง๐จ๐๐๐ฅ ๐ค๐ ๐๐ช๐ฉ๐ช๐ง๐ ๐๐๐ง๐ฃ๐๐ฃ๐๐จ ๐๐ฃ๐ ๐๐ง๐๐-๐๐๐จ๐-๐๐ก๐ค๐ฌ๐จ
๐๐ค๐ช ๐๐๐ฃ ๐ช๐ฃ๐๐๐ง๐จ๐ฉ๐๐ฃ๐ ๐ฌ๐๐ฎ ๐๐๐ง๐ง๐๐ฃ ๐ฝ๐ช๐๐๐๐ฉ๐ฉ ๐๐จ ๐ ๐๐๐ ๐๐๐ฃ ๐ค๐ ๐จ๐๐๐ง๐ ๐๐ช๐ฎ๐๐๐๐ ๐จ.
๐๐ฃ ๐๐๐จ 2022 ๐ผ๐ฃ๐ฃ๐ช๐๐ก ๐๐๐ฉ๐ฉ๐๐ง, ๐ฝ๐ช๐๐๐๐ฉ๐ฉ ๐ฌ๐ง๐ค๐ฉ๐: โ๐๐๐ ๐ข๐๐ฉ๐ ๐๐จ๐ฃโ๐ฉ ๐๐ค๐ข๐ฅ๐ก๐๐๐๐ฉ๐๐: ๐๐๐๐ฃ ๐ฉ๐๐ ๐จ๐๐๐ง๐ ๐๐ค๐ช๐ฃ๐ฉ ๐๐ค๐๐จ ๐๐ค๐ฌ๐ฃ, ๐ฎ๐ค๐ช๐ง ๐๐ฃ๐ฉ๐๐ง๐๐จ๐ฉ ๐๐ฃ ๐ค๐ช๐ง ๐ข๐๐ฃ๐ฎ ๐๐ช๐จ๐๐ฃ๐๐จ๐จ๐๐จ ๐๐ค๐๐จ ๐ช๐ฅ. ๐๐ซ๐๐ง๐ฎ ๐จ๐ข๐๐ก๐ก ๐๐๐ฉ ๐๐๐ก๐ฅ๐จ ๐๐ ๐ง๐๐ฅ๐ช๐ง๐๐๐๐จ๐๐จ ๐๐ง๐ ๐ข๐๐๐ ๐๐ฉ ๐ซ๐๐ก๐ช๐-๐๐๐๐ง๐๐ฉ๐๐ซ๐ ๐ฅ๐ง๐๐๐๐จโ
#stocks #investing
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๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ.
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10 QUALITY STOCKS THAT REDUCED SHARE COUNT >20% LAST 10 YEARS ๐ต
๐ธ Visa $V
โข2013 shares: 2.62B
โขLTM shares: 2.07B
โข% reduction: 21%
โขEPS boost: 26%
๐ณ Mastercard $MA
โข2013 shares: 1.21B
โขLTM shares: 946.00M
โข% reduction: 22%
โขEPS boost: 28%
๐ฉป Elevance Health $ELV
โข2013 shares: 303.80M
โขLTM shares: 236.03M
โข% reduction: 22%
โขEPS boost: 28%
โ๏ธ Starbucks $SBUX
โข2013 shares: 1.52B
โขLTM shares: 1.15B
โข% reduction: 24%
โขEPS boost: 31%
๐ข NVR Inc $NVR
โข2013 shares: 4.86M
โขLTM shares: 3.44M
โข% reduction: 29%
โขEPS boost: 41%
๐ MSCI Inc $MSCI
โข2013 shares: 121.07M
โขLTM shares: 79.84M
โข% reduction: 34%
โขEPS boost: 51%
๐ Dominoโs Pizza $DPZ
โข2013 shares: 57.72M
โขLTM shares: 35.40M
โข% reduction: 38%
โขEPS boost: 61%
๐ฒ Apple $AAPL
โข2013 shares: 26.08B
โขLTM shares: 15.71B
โข% reduction: 40%
โขEPS boost: 66%
๐๏ธ Loweโs $LOW
โข2013 shares: 1.15B
โขLTM shares: 584.00M
โข% reduction: 49%
โขEPS boost: 96%
๐ AutoZone $AZO
โข2013 shares: 36.58M
โขLTM shares: 18.37M
โข% reduction: 49%
โขEPS boost: 96%
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***EPS BOOST means how much earnings per share increased (assuming 0 growth) solely from share buybacks๐ฐ
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๐ผ ๐จ๐๐๐ง๐ ๐๐ช๐ฎ๐๐๐๐ , ๐๐ก๐จ๐ค ๐ ๐ฃ๐ค๐ฌ๐ฃ ๐๐จ ๐ ๐จ๐ฉ๐ค๐๐ ๐ง๐๐ฅ๐ช๐ง๐๐๐๐จ๐, ๐๐จ ๐ฌ๐๐๐ฃ ๐ ๐๐ค๐ข๐ฅ๐๐ฃ๐ฎ ๐ช๐จ๐๐จ ๐๐ฉ๐จ ๐ค๐ฌ๐ฃ ๐๐ช๐ฃ๐๐จ ๐ฉ๐ค ๐๐ช๐ฎ ๐๐๐๐ ๐๐ฉ๐จ ๐ค๐ฌ๐ฃ ๐จ๐๐๐ง๐๐จ
๐ฝ๐ฎ ๐๐ค๐๐ฃ๐ ๐ฉ๐๐๐จ, ๐ฉ๐๐ ๐๐ค๐ข๐ฅ๐๐ฃ๐ฎ ๐ง๐๐๐ช๐๐๐จ ๐ฉ๐๐ ๐ฉ๐ค๐ฉ๐๐ก ๐ฃ๐ช๐ข๐๐๐ง ๐ค๐ ๐ค๐ช๐ฉ๐จ๐ฉ๐๐ฃ๐๐๐ฃ๐ ๐จ๐๐๐ง๐๐จ ๐๐ซ๐๐๐ก๐๐๐ก๐ ๐ฉ๐ค ๐ฉ๐๐ ๐ฅ๐ช๐๐ก๐๐, ๐ฉ๐๐ช๐จ ๐๐ฃ๐๐ง๐๐๐จ๐๐ฃ๐ ๐ฎ๐ค๐ช๐ง ๐ฅ๐๐ง๐๐๐ฃ๐ฉ๐๐๐ ๐ค๐ฌ๐ฃ๐๐ง๐จ๐๐๐ฅ ๐ค๐ ๐๐ช๐ฉ๐ช๐ง๐ ๐๐๐ง๐ฃ๐๐ฃ๐๐จ ๐๐ฃ๐ ๐๐ง๐๐-๐๐๐จ๐-๐๐ก๐ค๐ฌ๐จ
๐๐ค๐ช ๐๐๐ฃ ๐ช๐ฃ๐๐๐ง๐จ๐ฉ๐๐ฃ๐ ๐ฌ๐๐ฎ ๐๐๐ง๐ง๐๐ฃ ๐ฝ๐ช๐๐๐๐ฉ๐ฉ ๐๐จ ๐ ๐๐๐ ๐๐๐ฃ ๐ค๐ ๐จ๐๐๐ง๐ ๐๐ช๐ฎ๐๐๐๐ ๐จ.
๐๐ฃ ๐๐๐จ 2022 ๐ผ๐ฃ๐ฃ๐ช๐๐ก ๐๐๐ฉ๐ฉ๐๐ง, ๐ฝ๐ช๐๐๐๐ฉ๐ฉ ๐ฌ๐ง๐ค๐ฉ๐: โ๐๐๐ ๐ข๐๐ฉ๐ ๐๐จ๐ฃโ๐ฉ ๐๐ค๐ข๐ฅ๐ก๐๐๐๐ฉ๐๐: ๐๐๐๐ฃ ๐ฉ๐๐ ๐จ๐๐๐ง๐ ๐๐ค๐ช๐ฃ๐ฉ ๐๐ค๐๐จ ๐๐ค๐ฌ๐ฃ, ๐ฎ๐ค๐ช๐ง ๐๐ฃ๐ฉ๐๐ง๐๐จ๐ฉ ๐๐ฃ ๐ค๐ช๐ง ๐ข๐๐ฃ๐ฎ ๐๐ช๐จ๐๐ฃ๐๐จ๐จ๐๐จ ๐๐ค๐๐จ ๐ช๐ฅ. ๐๐ซ๐๐ง๐ฎ ๐จ๐ข๐๐ก๐ก ๐๐๐ฉ ๐๐๐ก๐ฅ๐จ ๐๐ ๐ง๐๐ฅ๐ช๐ง๐๐๐๐จ๐๐จ ๐๐ง๐ ๐ข๐๐๐ ๐๐ฉ ๐ซ๐๐ก๐ช๐-๐๐๐๐ง๐๐ฉ๐๐ซ๐ ๐ฅ๐ง๐๐๐๐จโ
#stocks #investing
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๐๐๐๐๐๐๐๐๐๐โผ๏ธ: ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐. ๐๐๐๐ฒ๐ฅ๐จ๐ง ๐๐๐ฉ๐ข๐ญ๐๐ฅยฎ ๐๐ง๐ ๐ข๐ญ๐ฌ ๐ซ๐๐ฉ๐ซ๐๐ฌ๐๐ง๐ญ๐๐ญ๐ข๐ฏ๐๐ฌ ๐ฆ๐๐ฒ ๐ก๐๐ฏ๐ ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐ฌ๐๐๐ฎ๐ซ๐ข๐ญ๐ข๐๐ฌ ๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ.
๐๐ก๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ง๐๐๐ ๐๐จ๐ซ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง๐๐ฅ ๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐๐ฌ ๐จ๐ง๐ฅ๐ฒ ๐๐ง๐ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ง๐จ๐ญ ๐๐ ๐๐จ๐ง๐ฌ๐ญ๐ซ๐ฎ๐๐ ๐๐ฌ ๐ข๐ง๐ฏ๐๐ฌ๐ญ๐ฆ๐๐ง๐ญ ๐๐๐ฏ๐ข๐๐ ๐ญ๐จ ๐ฆ๐๐๐ญ ๐ญ๐ก๐ ๐ฌ๐ฉ๐๐๐ข๐๐ข๐ ๐ง๐๐๐๐ฌ ๐จ๐ ๐๐ง๐ฒ ๐ข๐ง๐๐ข๐ฏ๐ข๐๐ฎ๐๐ฅ ๐จ๐ซ ๐ฌ๐ข๐ญ๐ฎ๐๐ญ๐ข๐จ๐ง. ๐๐๐ฌ๐ญ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ข๐ฌ ๐ง๐จ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐ ๐จ๐ ๐๐ฎ๐ญ๐ฎ๐ซ๐ ๐ซ๐๐ฌ๐ฎ๐ฅ๐ญ๐ฌ.
๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐จ๐ง๐ญ๐๐ข๐ง๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ฐ๐๐๐ญ ๐ก๐๐ฌ ๐๐๐๐ง ๐จ๐๐ญ๐๐ข๐ง๐๐ ๐๐ซ๐จ๐ฆ ๐ฌ๐จ๐ฎ๐ซ๐๐๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐๐ ๐ญ๐จ ๐๐ ๐ซ๐๐ฅ๐ข๐๐๐ฅ๐, ๐๐ฎ๐ญ ๐ข๐ฌ ๐ง๐จ๐ญ ๐ ๐ฎ๐๐ซ๐๐ง๐ญ๐๐๐ ๐๐ฌ ๐ญ๐จ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐๐ง๐๐ฌ๐ฌ ๐จ๐ซ ๐๐๐๐ฎ๐ซ๐๐๐ฒ.
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Offshore
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The Long Investor
$LCID do we think $2.20 is going to hold?
Below this level and $LCID is in danger. https://t.co/0uFOGbZIgU
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$LCID do we think $2.20 is going to hold?
Below this level and $LCID is in danger. https://t.co/0uFOGbZIgU
$LCID bonkers that this has a market cap of $6 Billion.
$2.20 will hit but will it hold? - The Long Investortweet
Offshore
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The Long Investor
$PYPL second fight in the battle zone and bulls have lost again.
Price is being held up by the 50 and 200 Day MA's so far.
US 10YR rising is the cause of this rejection we believe, we need to see that come down. https://t.co/YEPDsPf2Ok
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$PYPL second fight in the battle zone and bulls have lost again.
Price is being held up by the 50 and 200 Day MA's so far.
US 10YR rising is the cause of this rejection we believe, we need to see that come down. https://t.co/YEPDsPf2Ok
$PYPL continues to ride the storm. https://t.co/En4p3hSJ8J - The Long Investortweet
Offshore
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The Long Investor
$SPY the 200 Day MA is exactly at the 2021 High Line at $463.
Not a coincidence.
Rule of thumb for all Long Term Investors, accumulate under the the 200 Day MA in the $SPY and you will outperform every single Fund on Wall Street over a 10 year period.
You do not need a PM, guidance or need to pay any 2% and 20% bullshit fees.
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$SPY the 200 Day MA is exactly at the 2021 High Line at $463.
Not a coincidence.
Rule of thumb for all Long Term Investors, accumulate under the the 200 Day MA in the $SPY and you will outperform every single Fund on Wall Street over a 10 year period.
You do not need a PM, guidance or need to pay any 2% and 20% bullshit fees.
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The Long Investor
$SPY I have gone through every correction since 1993 and only once has the $SPY not retested the 50 Day MA from below before rejecting further down.
This happened in 2020 due Covid and the abrupt decline.
I suspect earnings will help retest the 50 Day MA but a rejection here and the correction is confirmed.
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$SPY I have gone through every correction since 1993 and only once has the $SPY not retested the 50 Day MA from below before rejecting further down.
This happened in 2020 due Covid and the abrupt decline.
I suspect earnings will help retest the 50 Day MA but a rejection here and the correction is confirmed.
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Offshore
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Antonio Linares
$NVDA bulls think that the company has mitigated the risk of being disrupted by $AMD's chiplet approach with the launch of the Blackwell architecture, but this is not totally true.
An in depth review of Blackwellโs architecture reveals that the chip essentially consists of two large chips connected to each other.
Previous $NVDA architectures were fundamentally similar. But for the first time, Blackwellโs two chips now act as one at the software and network level. As such, Blackwell is technically made of two chiplets and thus represents a tentative first step towards chiplet architecture.
In this sense, Blackwell is a provisional confirmation of my original observation: that Nvidia was going to have to pivot towards chiplets at some point.
However, each of these two chiplets are as large as they can be, right at the limits of reticle size. Nvidia is therefore already brushing the physical limit that makes producing monolithic chips exponentially harder as we move towards smaller process nodes.
To add more computational power from here, $NVDA faces either skyrocketing complexity within each of the two existing dies or the prospect of adding subsequent monolithic chips to its Blackwell architecture.
Therefore, if $NVDA does not fully pivot to $AMD's turf, over the long term one of two things can happen:
1. $NVDA stays ahead simply by connecting more monolithic chips (each at the limit of reticle size) as if they were chiplets, with $AMD staying a marginal player.
2. The above approach doesnโt scale so well, relative to $AMDโs โpureโ chiplet architecture, with $AMD gaining considerable market share even at the highest end.
A review of AMDโs CDNA3 architecture (that powers the MI300 family) reveals that, as anticipated, it is highly scalable, and each component (chiplet) is far away from the reticle limit.
$AMD therefore does not have to push the limits of physics to continue making higher performing GPUs from here. Rather, AMD just needs to carry on adding more chipletsโa skill itโs been honing for a decade now.
From a low level perspective, connecting monolithic chips as if they were chiplets is bound to deliver much lower yields than $AMDโs approach. In the former case, if one component goes wrong you have to throw away a highly costly marvel of modern engineering. In the latter approach, throwing away a tiny chiplet wonโt cost as much.
If $NVDA does end up with meaningfully lower yields than $AMD, this does not automatically mean that it wonโt produce the highest performing products.
Yield is a metric that concerns that manufacturing process and does not say anything about the performance of the chip in question.
What is clear to me, however, is that $AMD has a structural advantage to bring AI compute engines to the market with a differentiated price to performance ratio.
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$NVDA bulls think that the company has mitigated the risk of being disrupted by $AMD's chiplet approach with the launch of the Blackwell architecture, but this is not totally true.
An in depth review of Blackwellโs architecture reveals that the chip essentially consists of two large chips connected to each other.
Previous $NVDA architectures were fundamentally similar. But for the first time, Blackwellโs two chips now act as one at the software and network level. As such, Blackwell is technically made of two chiplets and thus represents a tentative first step towards chiplet architecture.
In this sense, Blackwell is a provisional confirmation of my original observation: that Nvidia was going to have to pivot towards chiplets at some point.
However, each of these two chiplets are as large as they can be, right at the limits of reticle size. Nvidia is therefore already brushing the physical limit that makes producing monolithic chips exponentially harder as we move towards smaller process nodes.
To add more computational power from here, $NVDA faces either skyrocketing complexity within each of the two existing dies or the prospect of adding subsequent monolithic chips to its Blackwell architecture.
Therefore, if $NVDA does not fully pivot to $AMD's turf, over the long term one of two things can happen:
1. $NVDA stays ahead simply by connecting more monolithic chips (each at the limit of reticle size) as if they were chiplets, with $AMD staying a marginal player.
2. The above approach doesnโt scale so well, relative to $AMDโs โpureโ chiplet architecture, with $AMD gaining considerable market share even at the highest end.
A review of AMDโs CDNA3 architecture (that powers the MI300 family) reveals that, as anticipated, it is highly scalable, and each component (chiplet) is far away from the reticle limit.
$AMD therefore does not have to push the limits of physics to continue making higher performing GPUs from here. Rather, AMD just needs to carry on adding more chipletsโa skill itโs been honing for a decade now.
From a low level perspective, connecting monolithic chips as if they were chiplets is bound to deliver much lower yields than $AMDโs approach. In the former case, if one component goes wrong you have to throw away a highly costly marvel of modern engineering. In the latter approach, throwing away a tiny chiplet wonโt cost as much.
If $NVDA does end up with meaningfully lower yields than $AMD, this does not automatically mean that it wonโt produce the highest performing products.
Yield is a metric that concerns that manufacturing process and does not say anything about the performance of the chip in question.
What is clear to me, however, is that $AMD has a structural advantage to bring AI compute engines to the market with a differentiated price to performance ratio.
tweet