Blog

Gainers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLE)	SPDR Select Sector Fund – Energy Select Sector	89.92	0.16	0.17	23.6K
(NYSE:XLK)	SPDR Select Sector Fund – Technology	214.20	0.26	0.12	29.6K
(NYSE:XLU)	SPDR Select Sector Fund – Utilities	78.93	0.06	0.07	1.5K

Losers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLV)	SPDR Select Sector Fund – Health Care	144.46	-0.47	-0.33	2.5K
(NYSE:XLI)	SPDR Select Sector Fund – Industrial	130.77	-0.36	-0.28	5.8K
(NYSE:XLRE)	Real Estate Select Sector SPDR Fund (The)	41.35	-0.10	-0.25	2.0K
(NYSE:XLF)	SPDR Select Sector Fund – Financial	48.40	-0.12	-0.25	315.3K
(NYSE:XLC)	The Communication Services Select Sector SPDR Fund	96.38	-0.20	-0.21	589
(NYSE:XLB)	Materials Select Sector SPDR	85.80	-0.18	-0.21	124
(NYSE:XLP)	SPDR Select Sector Fund – Consumer Staples	79.36	-0.15	-0.19	7.5K

Pulled from Benzinga Pro data the above sector movers alert assists traders in understanding macro-level trends and market variations. Traders will look for sector movers providing information on sectors that are over- or under-performing, deriving these results into investing decisions on exchange-traded funds (ETFs) or individual tickers in those sectors.

To read more about sector movers, click here.

Good Morning Traders! In today’s Market Clubhouse Morning Memo, we will discuss SPY, QQQ, AAPL, MSFT, NVDA, GOOGL, META, and TSLA.

Our proprietary formula, exclusive to Market Clubhouse, dictates these price levels. This dynamic equation takes into account price, volume, and options flow. These levels are updated every day and shared with all Clubhouse Members, prior to the opening of the market.

We recommend closely monitoring these stocks, and be prepared to leverage potential breakouts or reversals. As always, stay alert and ready to adjust your tactics based on the market’s pulse to optimize your trading gains. Now, let’s dive into the stock analysis:

SPDR S&P 500 ETF Trust (SPY)

SPY is currently trading near our key level of 561.90. Bulls need to maintain strength above this level, targeting an initial move toward 563.23. If buying pressure sustains, we expect a further rally to 564.29. Holding this level as support could pave the way for an advance to 565.38, with strong momentum pushing SPY toward our high bull target of 566.46.

Should 561.90 fail to hold as support, we anticipate sellers driving the price lower to 560.83. If weakness persists, a test of 559.75 is likely. Breaking below this level could accelerate downside momentum, bringing 558.32 into play. If the selling intensifies, our low bear target for the session sits at 557.44.

Invesco QQQ Trust Series 1 (QQQ)

QQQ is currently trading around 479.03. Bulls want to see price action sustain above this level, allowing a push to 481.73. If buyers maintain control, 483.95 comes into focus as the next key level. Should bullish momentum remain intact, we anticipate a continuation to 486.10, with strong upside potentially bringing QQQ to our high bull target of 487.69.

If QQQ struggles to stay above 479.03, sellers could push the price down to 476.85. Continued weakness may result in a test of 474.66. A further breakdown exposes 471.33, and if bearish pressure remains dominant, the market could reach our low bear target of 469.27.

Apple Inc. (AAPL)

Apple is currently positioned around 212.44. Bulls need to establish this level as firm support to initiate an upward move toward 214.07. Continued strength in buying could push AAPL toward 215.25. If buyers sustain their momentum, we expect a breakout higher, targeting our high bull objective of 216.70.

If 212.44 fails to hold, sellers will likely push AAPL lower to 211.12. Further downside pressure could test 209.81, with a continued decline exposing 208.81. Should the selling intensify, our low bear target for Apple sits at 207.93.

Microsoft Corp. (MSFT)

Microsoft is currently trading near 386.09. Bulls need to defend this level and push the price higher toward 387.60. If this level holds as solid support, we anticipate a continued rally to 388.53. Strong bullish action could carry MSFT to our high bull target of 389.29.

If 386.09 fails as support, bears may drive the price down to 385.42. If selling persists, a move to 384.57 is likely. Should further downside pressure emerge, we anticipate a drop toward 382.69, with aggressive selling potentially driving MSFT to our low bear target of 379.50.

NVIDIA Corporation (NVDA)

NVIDIA is currently trading around 123.41. Bulls need to sustain strength above this level, with an initial move targeting 125.21. If buying momentum continues, the next key resistance stands at 126.84. Should the uptrend hold, NVDA could rally toward 128.10, with further strength pushing it to our high bull target of 129.53.

If 123.41 fails to hold as support, sellers will likely push the price down to 121.97. A break below this level could lead to a test of 120.27. If selling pressure accelerates, 119.44 becomes the next major support. A sustained bearish move could drive NVDA to our low bear target of 117.86.

Alphabet Inc Class A (GOOGL)

Alphabet is currently trading near 165.41. Bulls need to hold this level as support to sustain upward momentum. If buyers step in, the first upside target is 167.04. Continued strength in the auction could drive the price toward 169.34, which is our high bull target for the day.

If 165.41 is lost as support, bears will look to take control and push the price lower toward 163.79. A breakdown at this level could lead to further selling pressure, with a potential move down to 161.79. In a more aggressive sell-off, Alphabet may test the low bear target at 160.36.

Meta Platforms Inc (META)

Meta is currently trading near 609.30. Bulls need to keep price action above this level to target an initial move to 615.65. If bullish sentiment strengthens, 622.01 becomes the next upside level. Sustained buying could push META toward our high bull target of 629.88.

If 609.30 fails as support, bears may push the price down to 604.50. If sellers remain aggressive, we anticipate further downside toward 598.17. A breakdown below this level could send META to our low bear target of 591.29.

Tesla Inc. (TSLA)

Tesla is currently trading near 246.16. Bulls need to push the price above this level, setting up an initial target at 248.37. If the buying momentum remains strong, we anticipate a move toward 250.25. Continued bullish sentiment could drive Tesla higher to 252.38, with an extended rally reaching our high bull target of 254.28.

If 246.16 fails as support, sellers may attempt to take control and drive the price down to 243.98. Continued weakness could lead to a test of 242.49. If selling pressure intensifies, Tesla may drop to our low bear target of 239.92.

Final Word:

Today’s session kicks off with the release of February’s Advance Retail Sales at 8:30 AM ET, accompanied by the Empire State Manufacturing Index for March. At 10:00 AM ET, the Business Inventories report for January will be published alongside the NAHB Housing Market Index for March. Additionally, at 11:30 AM ET, the U.S. Treasury will conduct a 3 and 6 month Bill Auction. With the FOMC rate decision on Wednesday and contract roll week in full swing, we anticipate heightened volatility. Stay sharp, manage risk effectively, and trade smart!

The Morning Memo is curated by RIPS, a pro trader with years of experience in equities, options, and futures trading. RIPS is at the heart of the exclusive Market Clubhouse community, offering his insights, expertise, and real-time mentorship.

Start your day with a live daily market analysis, a carefully selected watch list, early access to the Morning Memo, and exclusive Market Clubhouse price levels, providing precise support and resistance indicators. When you become a member of Market Clubhouse, you will gain early access to the Morning Memo, just like this one, every single day—hours before it’s published. You will also have access to a live stream with zero latency and screen sharing, enabling you to witness Rips executing his trades in real-time and sharing his exclusive trading plans, strategies, and live decision-making.

For a limited time during our special promotion, you can join RIPS and get a full access pass to Market Clubhouse for 7 full days for just $7. Check it out at https://marketclubhouse.club/7Days/ where you can trade live with him and tap into his wealth of knowledge and experience. You can also catch Rips on his live day trading streams every Monday-Friday at 8 am EST on the Market Clubhouse YouTube channel: https://www.youtube.com/@MarketClubhouse.

Newegg Commerce Inc (NASDAQ:NEGG) shares are trading lower by 18.7% to 31 cents during Friday’s session after the company announced a 1-for-20 reverse stock split.

What To Know: Newegg, an e-commerce platform for technology products, announced a twenty-to-one reverse stock split of its common shares, approved by its board and controlling shareholders. The move aims to help the company maintain compliance with Nasdaq’s minimum listing price requirements.

The share combination is expected to take effect around April 7. All shareholders will be affected proportionately, with no change to their percentage ownership, except for fractional shares, which will be converted to cash.

Read Also: 2025 Recession Bets Are On Fire, Yet Traders Could Still Pocket Over 50% Gains If US Economy Just Holds

How To Buy NEGG Stock

Besides going to a brokerage platform to purchase a share – or fractional share – of stock, you can also gain access to shares either by buying an exchange traded fund (ETF) that holds the stock itself, or by allocating yourself to a strategy in your 401(k) that would seek to acquire shares in a mutual fund or other instrument.

For example, in Newegg Commerce’s case, it is in the Consumer Discretionary sector. An ETF will likely hold shares in many liquid and large companies that help track that sector, allowing an investor to gain exposure to the trends within that segment.

According to data from Benzinga Pro, NEGG has a 52-week high of $1.32 and a 52-week low of $0.34.

Gainers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLK)	SPDR Select Sector Fund – Technology	210.980	3.320	1.59	44.6K
(NYSE:XLY)	SPDR Select Sector Fund – Consumer Discretionary	195.120	2.520	1.30	3.8K
(NYSE:XLRE)	Real Estate Select Sector SPDR Fund (The)	41.050	0.390	0.95	3.7K
(NYSE:XLF)	SPDR Select Sector Fund – Financial	47.870	0.450	0.94	178.8K
(NYSE:XLB)	Materials Select Sector SPDR	85.650	0.780	0.91	22.8K
(NYSE:XLI)	SPDR Select Sector Fund – Industrial	129.613	0.833	0.64	3.9K
(NYSE:XLC)	The Communication Services Select Sector SPDR Fund	95.400	0.560	0.59	475
(NYSE:XLE)	SPDR Select Sector Fund – Energy Select Sector	87.640	0.460	0.52	29.6K
(NYSE:XLV)	SPDR Select Sector Fund – Health Care	144.250	0.420	0.29	1.0K
(NYSE:XLU)	SPDR Select Sector Fund – Utilities	77.510	0.150	0.19	7.7K

Losers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLP)	SPDR Select Sector Fund – Consumer Staples	79.21	-0.12	-0.16	16.9K

Pulled from Benzinga Pro data this sector movers alert provides traders with a compiled way to read macro-level market trends. Investors garner a particular interest in sector movers to better determine sectors that are over- or under-performing to make better investing decisions on exchange-traded funds (ETFs) or individual tickers in those sectors.

To read more about sector movers, click here.

Ulta Beauty, Inc. (NASDAQ:ULTA) will release its fourth-quarter financial results after the closing bell on Thursday, March 13.

Analysts expect the Bolingbrook, Illinois-based company to report quarterly earnings at $7.15 per share, down from $8.08 per share in the year-ago period. Ulta Beauty projects quarterly revenue of $3.47 billion, compared to $3.55 billion a year earlier, according to data from Benzinga Pro.

On Jan. 6, Ulta announced that Dave Kimbell will retire as CEO and step down from the company’s board, effective immediately.

Ulta Beauty shares fell 3.9% to close at $329.23 on Wednesday.

Benzinga readers can access the latest analyst ratings on the Analyst Stock Ratings page. Readers can sort by stock ticker, company name, analyst firm, rating change or other variables.

Let’s have a look at how Benzinga’s most-accurate analysts have rated the company in the recent period.

• Morgan Stanley analyst Simeon Gutman upgraded the stock from Equal-Weight to Overweight and raised the price target from $430 to $500 on Jan. 21, 2025. This analyst has an accuracy rate of 66%.
• Barclays analyst Adrienne Yih maintained an Equal-Weight rating and boosted the price target from $410 to $445 on Jan. 9, 2025. This analyst has an accuracy rate of 62%.
• Citigroup analyst Kelly Crago maintained a Neutral rating and boosted the price target from $450 to $457 on Jan. 7, 2025. This analyst has an accuracy rate of 72%.
• B of A Securities analyst Lorraine Hutchinson maintained a Neutral rating and raised the price target from $460 to $475 on Jan. 7, 2025. This analyst has an accuracy rate of 65%.
• Stifel analyst Mark Astrachan maintained a Hold rating and increased the price target from $455 to $475 on Jan. 7, 2025. This analyst has an accuracy rate of 75%.

Considering buying ULTA stock? Here’s what analysts think:

Read This Next:

• Top 2 Industrials Stocks That May Collapse In March

Gainers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLF)	SPDR Select Sector Fund – Financial	47.78	0.1	0.2	172.6K

Losers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLRE)	Real Estate Select Sector SPDR Fund (The)	41.26	-0.21	-0.51	619
(NYSE:XLY)	SPDR Select Sector Fund – Consumer Discretionary	196.57	-0.96	-0.49	9.1K
(NYSE:XLE)	SPDR Select Sector Fund – Energy Select Sector	87.59	-0.19	-0.22	6.7K
(NYSE:XLK)	SPDR Select Sector Fund – Technology	211.24	-0.44	-0.21	54.3K
(NYSE:XLU)	SPDR Select Sector Fund – Utilities	77.02	-0.15	-0.20	912
(NYSE:XLV)	SPDR Select Sector Fund – Health Care	144.50	-0.10	-0.07	1.7K

Pulled from Benzinga Pro data the above sector movers alert assists traders in understanding macro-level trends and market variations. Traders will look for sector movers providing information on sectors that are over- or under-performing, deriving these results into investing decisions on exchange-traded funds (ETFs) or individual tickers in those sectors.

For more information on sector movers, click here.

Gainers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLK)	SPDR Select Sector Fund – Technology	212.2702	3.87	1.85	158.2K
(NYSE:XLY)	SPDR Select Sector Fund – Consumer Discretionary	199.9700	3.58	1.82	36.2K
(NYSE:XLC)	The Communication Services Select Sector SPDR Fund	97.5500	1.20	1.24	9.4K
(NYSE:XLI)	SPDR Select Sector Fund – Industrial	131.6200	1.50	1.15	3.2K
(NYSE:XLB)	Materials Select Sector SPDR	86.2500	0.92	1.07	24.2K
(NYSE:XLF)	SPDR Select Sector Fund – Financial	48.0700	0.46	0.96	628.8K
(NYSE:XLE)	SPDR Select Sector Fund – Energy Select Sector	87.8300	0.45	0.51	17.8K
(NYSE:XLRE)	Real Estate Select Sector SPDR Fund (The)	41.7900	0.17	0.40	11.3K
(NYSE:XLU)	SPDR Select Sector Fund – Utilities	77.4400	0.03	0.03	34.7K

Losers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLP)	SPDR Select Sector Fund – Consumer Staples	81.09	-0.38	-0.47	57.2K
(NYSE:XLV)	SPDR Select Sector Fund – Health Care	145.70	-0.36	-0.25	21.0K

Pulled from Benzinga Pro data the above sector movers alert assists traders in understanding macro-level trends and market variations. Traders will look for sector movers providing information on sectors that are over- or under-performing, deriving these results into investing decisions on exchange-traded funds (ETFs) or individual tickers in those sectors.

For more information on sector movers, click here.

American Eagle Outfitters, Inc. (NYSE:AEO) will release its fourth-quarter financial results after the closing bell on Wednesday March 12.

Analysts expect the Pittsburgh, Pennsylvania-based company to report quarterly earnings at 51 cents per share, down from 61 cents per share in the year-ago period. American Eagle projects quarterly revenue of $1.6 billion, compared to $1.68 billion a year earlier, according to data from Benzinga Pro.

On Jan. 13, American Eagle Outfitters raised its fourth-quarter operating profit outlook.

With the recent buzz around American Eagle, some investors may be eyeing potential gains from the company’s dividends too. As of now, American Eagle offers an annual dividend yield of 4.35%, which is a quarterly dividend amount of 13 cents per share ($0.50 a year).

To figure out how to earn $500 monthly from American Eagle, we start with the yearly target of $6,000 ($500 x 12 months).

Next, we take this amount and divide it by American Eagle’s $0.50 dividend: $6,000 / $0.50 = 12,000 shares.

So, an investor would need to own approximately $137,880 worth of American Eagle, or 12,000 shares to generate a monthly dividend income of $500.

Assuming a more conservative goal of $100 monthly ($1,200 annually), we do the same calculation: $1,200 / $0.50 = 2,400 shares, or $27,576 to generate a monthly dividend income of $100.

Note that dividend yield can change on a rolling basis, as the dividend payment and the stock price both fluctuate over time.

The dividend yield is calculated by dividing the annual dividend payment by the current stock price. As the stock price changes, the dividend yield will also change.

For example, if a stock pays an annual dividend of $2 and its current price is $50, its dividend yield would be 4%. However, if the stock price increases to $60, the dividend yield would decrease to 3.33% ($2/$60).

Conversely, if the stock price decreases to $40, the dividend yield would increase to 5% ($2/$40).

Further, the dividend payment itself can also change over time, which can also impact the dividend yield. If a company increases its dividend payment, the dividend yield will increase even if the stock price remains the same. Similarly, if a company decreases its dividend payment, the dividend yield will decrease.

AEO Price Action: Shares of American Eagle fell by 5% to close at $11.49 on Tuesday.

Read More:

• Top 3 Health Care Stocks That May Keep You Up At Night In Q1

Photo: Shutterstock

The financial technology (fintech) industry is undergoing a rapid transformation, driven by artificial intelligence (AI). Fintech startups are embracing AI development at an unprecedented pace, hoping to enhance customer experience, automate processes, and improve decision-making. However, while the benefits of AI in fintech are undeniable, many startups are rushing into AI without fully understanding the risks, limitations, and potential consequences. 

This article explores why fintech startups are so eager to integrate AI, the challenges they face, and whether they are truly prepared for this technological leap—or setting themselves up for failure. 

Why Are Fintech Startups Racing to AI? 

AI development is revolutionizing the fintech sector by enabling automation, improving fraud detection, and personalizing financial services. Startups are particularly drawn to AI for several key reasons: 

1. Competitive Advantage 

With traditional banks slow to adopt new technologies, fintech startups see AI as an opportunity to gain an edge. AI-powered chatbots, robo-advisors, and fraud detection systems allow fintech companies to offer faster, more efficient services than their legacy competitors. 

2. Cost Reduction 

AI automates repetitive tasks, reducing the need for large customer support and risk assessment teams. This helps fintech startups cut operational costs while improving efficiency. 

3. Personalization and Customer Experience 

AI-driven insights help fintech companies analyze customer behavior and deliver highly personalized financial services, from loan approvals to investment recommendations. 

4. Fraud Prevention and Security 

AI plays a critical role in identifying suspicious activities, detecting fraud patterns, and preventing financial crimes. For fintech startups handling sensitive financial data, AI offers a powerful layer of security. 

5. Investor Expectations 

Venture capitalists and investors are eager to back fintech companies that leverage AI, as it signals innovation and growth potential. Startups often feel pressured to integrate AI to attract funding and remain relevant. 

Despite these advantages, the rush to AI comes with significant challenges and potential pitfalls that many fintech startups are overlooking. 

The Challenges of AI Adoption in Fintech 

While AI promises to revolutionize fintech, integrating it into financial services is not as simple as flipping a switch. Many startups fail to consider the challenges and risks associated with AI adoption. 

1. Regulatory and Compliance Issues 

The financial industry is heavily regulated, and AI-driven solutions must comply with strict guidelines regarding data privacy, transparency, and fairness. Governments and financial institutions worldwide are still catching up with AI regulations, creating uncertainty for fintech startups. Failure to meet compliance standards can lead to hefty fines and reputational damage. 

2. Bias and Ethical Concerns 

AI algorithms are only as good as the data they are trained on. If the training data contains biases, AI systems can make discriminatory decisions, particularly in areas like loan approvals and credit scoring. Unchecked AI bias can lead to regulatory scrutiny, lawsuits, and loss of customer trust. 

3. Data Security and Privacy Risks 

Fintech companies handle highly sensitive financial data. AI systems rely on vast amounts of data to function effectively, making them prime targets for cyberattacks. If startups fail to implement strong security measures, they risk exposing customer data to fraudsters and hackers. 

4. High Costs of AI Implementation 

Developing, training, and maintaining AI systems require significant investment. Many fintech startups underestimate the current fintech investment trends, ongoing costs of AI development, including hiring data scientists, maintaining infrastructure, and continuously updating AI models. 

5. Lack of AI Expertise 

Not all fintech startups have the technical expertise required to build and manage AI-driven systems. Without a deep understanding of AI, startups may implement flawed models that lead to incorrect financial predictions, security vulnerabilities, or compliance violations. 

6. Over-Reliance on AI 

Many startups believe AI can fully replace human judgment in financial services. However, AI is not infallible and cannot always account for nuanced financial decisions that require human expertise. An over-reliance on AI could lead to costly mistakes. 

Real-World Examples: AI Successes and Failures in Fintech 

Several fintech startups have successfully integrated AI into their business models, while others have faced serious setbacks. Here are some notable examples: 

Success Stories 

• Revolut: This digital banking platform uses AI to detect fraudulent transactions, helping customers protect their accounts from cyber threats. 

• Upstart: A lending platform that uses AI-driven credit scoring models to approve loans for borrowers who may not qualify under traditional lending standards. 

• Ant Financial: The Chinese fintech giant employs AI to provide personalized financial services and automate risk management. 

Failures and Setbacks 

• Apple Card Controversy: Apple’s AI-powered credit card faced accusations of gender bias when users noticed that women were given lower credit limits than men, even with similar financial backgrounds. 

• ZestFinance: Initially hailed as an AI-driven alternative credit scoring company, it faced challenges with transparency and regulatory compliance, leading to setbacks. 

• Tay AI (Microsoft’s Chatbot Experiment): Although not a fintech company, Microsoft’s chatbot Tay demonstrated the risks of AI bias when it quickly adopted offensive language based on user interactions. 

These examples highlight both the potential and risks of AI adoption in fintech. While AI can drive innovation, poor implementation can lead to severe consequences. 

Are Fintech Startups Really Ready for AI? 

The reality is that many fintech startups are rushing to AI software development company for AI solutions without fully preparing for the challenges. To ensure long-term success, startups need to take a more strategic approach: 

1. Prioritize Ethical AI Development 

Fintech startups must actively work to eliminate biases in AI models and ensure fairness in financial decision-making. Regular audits and transparency in AI decision processes are crucial. 

2. Strengthen Regulatory Compliance 

Startups should stay ahead of evolving AI regulations and work closely with legal experts to ensure compliance with financial laws. 

3. Invest in AI Security 

Robust cybersecurity measures must be in place to protect sensitive financial data from breaches and cyberattacks. 

4. Combine AI with Human Expertise 

AI should be used to assist human professionals, not replace them. A hybrid approach that combines AI insights with human decision-making leads to better financial services. 

5. Ensure Long-Term AI Scalability 

Startups should avoid deploying AI solutions without considering their long-term costs, maintenance, and scalability. 

Conclusion: A Cautionary Tale for Fintech Startups 

AI development is undoubtedly transforming the fintech landscape, but the rush to integrate AI comes with significant risks. While fintech startups are eager to gain a competitive edge, they must ensure they are truly ready to handle AI’s complexities. 

Those that carefully plan their AI adoption, address ethical concerns, and prioritize security will thrive in the fintech revolution. However, startups that blindly rush into AI without preparation may find themselves facing regulatory fines, customer backlash, and financial losses. 

In the race for AI-powered fintech, the winners will be those who balance innovation with responsibility. Fintech startups must ask themselves: Are they truly prepared for AI—or are they setting themselves up for disaster? 

Gainers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLE)	SPDR Select Sector Fund – Energy Select Sector	88.58	0.50	0.56	49.4K
(NYSE:XLRE)	Real Estate Select Sector SPDR Fund (The)	42.29	0.23	0.54	1.3K
(NYSE:XLY)	SPDR Select Sector Fund – Consumer Discretionary	198.98	0.65	0.32	21.8K
(NYSE:XLF)	SPDR Select Sector Fund – Financial	48.12	0.10	0.20	253.3K
(NYSE:XLU)	SPDR Select Sector Fund – Utilities	78.25	0.11	0.14	19.6K
(NYSE:XLV)	SPDR Select Sector Fund – Health Care	147.76	0.09	0.06	3.9K
(NYSE:XLK)	SPDR Select Sector Fund – Technology	209.33	0.08	0.03	59.0K

Losers

Symbol	Name	Price	Change ($)	Change (%)	Volume
(NYSE:XLC)	The Communication Services Select Sector SPDR Fund	97.37	-0.42	-0.43	12.0K
(NYSE:XLI)	SPDR Select Sector Fund – Industrial	131.83	-0.32	-0.25	654
(NYSE:XLP)	SPDR Select Sector Fund – Consumer Staples	82.55	-0.13	-0.16	24.6K

Pulled from Benzinga Pro data this sector movers alerts can help traders understand macro-level market trends. Traders often look for sector movers to provide high-level analysis on which sectors are over- or under-performing to make better investing decisions on exchange traded funds (ETFs) or individual tickers in those sectors.

For more information on sector movers, click here.