Blogs -NASDAQ REBALANCE: WHAT YOU NEED TO KNOW

NASDAQ REBALANCE: WHAT YOU NEED TO KNOW


August 01, 2023

author

Beth Kindig

Lead Tech Analyst

This article was originally published on Forbes on Jul 28, 2023,12:07am EDT

On June 30th, the NASDAQ posted the strongest first six months in the index’s history, dating back to 1971. The 6-month returns of 30.5% in 2023 easily beats the prior record of 25.2% in 2019. The majority of the rally was driven by seven stocks: Apple, Microsoft, Nvidia, Amazon, Tesla, Meta, Google. These 7 stocks are up a collective 98% YTD, while the equal weight S&P 500, which provides an equal weighting to all 500 stocks in the index, is up only 9%.

Tech Stock 2023 YTD Returns

Source: I/O Fund

Sign up for I/O Fund's free newsletter with gains of up to 221% - Click here

This level of narrow leadership continues to pose a problem for active managers who are more diversified than the NASDAQ-100. In fact, by Q1 of 2023, only 1/3 of active managers were ahead of their benchmark in 2023.

As a result, the NASDAQ is being forced by the SEC to rebalance their tech-heavy index, the NASDAQ-100, which will shift the focus away from the top seven stocks in the market, and redistribute weightings to less popular names in the index, like Starbucks and Broadcom, to name a few.

The reason for the rebalance is due to the Magnificent Seven taking up 55% of the Index’s weighting prior to the rebalance. Here was the NASDAQ-100’s weighting prior to the rebalance (as of July 18)

MSFT – 12.7%

AAPL – 12.1%

NVDA – 7.4

GOOGL – 7.3%

AMZN – 6.8%

TSLA – 4.5%

META – 4.4%

On July 14th, the new weighting was announced: NVDA and MSFT would receive the biggest cuts of about 3% each, while AAPL only got shaved by 1% (making it the new top position). Google was cut by 2%, while META and TSLA by 1%. The new rebalance dropped the overall weighting from 55% to ~38%. The NASDAQ-100 topped about 4 days later, and has since been in a minor correction.

Being a static index, a rebalance is a rare occurrence, as it has only happened twice since 1998. The last time was in April of 2011 and was focused on Apple’s outsized weighting in the index. At the time it accounted for just over 20%, and was rebalanced back to 12%. Below shows when this was announced and how it affected the stock. Though the macro environment was much different in 2011, it’s worth noting that Apple had an immediate dip that was quickly bought.

Every Thursday at 4:30 pm Eastern, the I/O Fund team holds a webinar for premium members to discuss how to navigate the broad market, as well as various stock entries and exits. We offer trade alerts plus an automated hedging signal. The I/O Fund team is one of the only audited portfolios available to individual investors. Learn more here.

Apple Chart - NDX Rebalance

Source: I/O Fund

We believe this is worth monitoring as $209 Billion is currently in QQQ, an ETF that tracks the NASDAQ-100. This means that MSFT, for example, lost $18.8 Billion in demand from this single ETF having to rebalance in accordance with the new changes. Furthermore, many institutional funds are benchmarked to this index, and are in the process of rebalancing their portfolios to coincide with these changes, which should further affect demand.

Our current take on the market is that if SPX break below 4515, then the market has likely topped. Below 4275 and SPX has put in a big top and this would be bearish. On the other hand, if 4275 is defended, then our firm will layer into more stocks as this would be bullish. The level of 4275 is of critical importance and we will update our Premium Members with our buy plan if we get here.

S&P 500 Chart

Source: I/O Fund

I/O Fund Portfolio Manager, Knox Ridley, contributed to this article .

Recommended Reading:

head bg

More To Explore

Newsletter

Data center illustration showing Google, Microsoft, Meta, and Amazon with AI revenue and capex spending trends. Capex spending rises faster than AI revenue between 2021 and 2026.

Big Tech’s AI Revenue Is Surging, but Suppliers Will Still Be the Bigger Winners 

Big Tech’s AI Capex has stomped estimates for multiple years and analysts are now calling for capex to surge to $1 trillion in 2027. However, hyperscalers have long battled investor concerns around wh

August 06, 2026
Futuristic AI data center filled with server racks and glowing network pathways, representing large-scale AI infrastructure investment and rising capital expenditures to meet growing demand.

AI Capex to Hit $1 Trillion – And Estimates Are Still Too Low

Big Tech capex is the driving force behind the AI infrastructure trade, yet Wall Street has repeatedly underestimated the sheer scale of the buildout. Currently, in 2026, the guidance for $732.5 billi

August 05, 2026
Abstract illustration of layered AI computing hardware processing digital tokens, symbols, and data streams representing AI infrastructure and inference demand growth.

Token Growth is Surging - Here Are the Beneficiaries 

The reality of AI demand growth has shattered early estimates for token processing, yet expectations continue moving up and to the right. In the second installment of our token processing series, we e

July 31, 2026
Abstract visualization of a flowing stream of digital tokens, numbers, and symbols representing AI token processing and inference demand growth.

AI Token Demand is Shattering Forecasts 

Total annual token processing is no longer measured in billions or trillions of tokens, but in the quadrillions and beyond. As annual token processing is now tracked in units with 15 trailing zeros, i

July 30, 2026
TSMC N3 wafer technology connected to Intel EMIB advanced packaging in an AI semiconductor manufacturing graphic.

Nvidia and Google Are Crowding TSMC’s N3 Node - Can Intel Fill the Gap?

Nvidia is moving its next-generation Rubin GPUs from 4nm to 3nm, yet Google’s latest TPUs are already on N3 and are expected to remain there. Meanwhile, a growing number of AI CPUs from Nvidia, Amazon

July 26, 2026
Illustration of Intel EMIB-T advanced packaging connecting AI compute dies and HBM memory as an alternative to TSMC CoWoS.

Intel vs TSMC: How CoWoS Packaging Constraints Could Create an Opportunity for Intel Foundry 

Taiwan Semiconductor (TSMC) is the single, most important company to the AI industry. However, to compete with the incumbent, Intel does not need to beat TSMC at leading-edge manufacturing. It only ne

July 24, 2026
Amazon, Meta, Microsoft, and Google displayed with financial charts, illustrating rising AI capex and growing free cash flow pressure across Big Tech.

Big Tech’s Free Cash Flow is Turning Negative – Who's Next? 

Big Tech’s AI revenue is accelerating, but free cash flow is moving sharply in the opposite direction. Across Google, Microsoft, Meta and Amazon, capex is rising much faster than operating cash flow a

July 19, 2026
Illustration of Google, Microsoft, Meta, and Amazon stock dashboards against a digital circuit-board background, symbolizing Big Tech earnings, AI growth, and investor performance.

Big Tech Earnings Preview: Is AI Monetization Finally Catching Up to Capex?

The most pronounced difference between 2026’s tech rally compared to rallies in the past is which companies have been left out of it. The names most associated with the AI trade have hardly participat

July 17, 2026
Side-by-side image of an NVIDIA CMX server and a CXL memory expansion card against a data center background.

Nvidia, CXL, and the Battle to Improve AI Inference Economics

This is Part 2 of our two-part series on AI inference economics. In Part 1 — Why Nvidia's Next AI Battle Is About Tokens per Watt, we laid out why tokens per watt has become the defining metric for in

July 12, 2026
NVIDIA BlueField networking platform card shown on a green digital network background.

Why Nvidia’s Next AI Battle Is About Tokens per Watt 

As hyperscalers move from building AI infrastructure to monetizing it, tokens per watt helps to reflect if revenue is scaling and if profitability is improving. Offload engines can increase tokens per

July 10, 2026
newsletter

Sign up for Analysis on
the Best Tech Stocks


Copyright © 2010 - 2026