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AI Stock AppLovin (APP) Explodes on Earnings – Is It a Buy?

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Written by Timothy Sykes

AppLovin Corp. (APP) just delivered a textbook example of a news catalyst-driven breakout, with its Q4 earnings report sending shares up as much as 38% intraday before closing up 24%. The stock hit an all-time high of $525 before pulling back to around the $500 level as of February 14, 2025.

This is what momentum looks like. The company crushed expectations, announced a major business shift, and got a wave of analyst price target hikes. But is it still a buy after a near 1,000% run in the past year? Or is it getting too crowded?

Get my complete AI penny stocks watchlist here.

Massive Catalyst: Blowout Q4 Earnings and a Business Shift

AppLovin smashed expectations with fourth-quarter earnings that saw revenue grow 44% year-over-year to $1.37 billion, well ahead of the $1.26 billion analysts expected. Even more impressive, earnings per share came in at $1.73, up 253% from a year ago.

The company also announced plans to sell its mobile gaming business for $900 million, allowing it to focus entirely on its AI-driven advertising platform. CEO Adam Foroughi said this will make AppLovin a pure advertising platform company, a move that investors clearly loved.

This is a company executing perfectly at the right time, taking full advantage of AI-driven advertising demand.

The Hottest AI Stock, But Is It Overbought?

There’s no doubt that AppLovin is the single strongest AI stock in the market right now. The company’s ad technology, powered by its AXON AI platform, is seeing insane adoption. Software revenue alone grew 73% year-over-year, and with the company expanding beyond mobile into e-commerce and connected TV advertising, there’s even more room to run.

But here’s the problem: the stock has now run up over 900% since early 2024. It’s up 34% in just the last three months. And after this latest post-earnings spike, it’s sitting well into the overbought zone.

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This is what I always warn traders about when chasing big moves. It’s great if you’re already in, but if you’re looking to enter now, you need to be smart about timing. Stocks don’t go straight up forever, and even the strongest ones experience pullbacks.

Wall Street Analysts Are Raising Targets, But Be Careful

At least nine firms raised their price targets on APP after earnings, with Wedbush now calling for 620. Morgan Stanley and Goldman Sachs also hiked their targets, citing AppLovin’s AI ad technology and its potential to expand into new markets.

But remember, analysts tend to chase price action. They weren’t calling for $620 when the stock was trading under $100 six months ago. Just because they’re bullish now doesn’t mean the stock won’t pull back.

Should You Buy APP Now?

This is still the best AI stock in the market right now. The business fundamentals are incredible, and the company is printing cash with 44% profit margins. But with the stock this extended, traders need to be disciplined.

If you’re already in, it makes sense to hold, but don’t get greedy—know your exit plan. If you’re looking to buy, wait for a pullback or consolidation. Stocks that go parabolic like this usually give better entries after some cooling off.

It’s easy to look at APP’s growth curve and think that it’s “going to the moon.” But remember, nothing is guaranteed in the market, and most traders lose.

That’s why I focus on lower-priced stocks, and disciplined trading plans.

If you want to know what I’m looking for—check out my free webinar here!


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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

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Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”