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Snowflake Stock Draws Bullish Targets As AI Demand Accelerates

ELLIS HOBBSUPDATED MAY. 27, 2026, 5:04 PM ET
Reviewed by Matt Monacoand Fact-checked by Bryce Tuohey

Snowflake Inc. stocks have been trading up by 32.7 percent amid bullish sentiment on its accelerating cloud data platform adoption.

Candlestick Chart

Live Update At 17:03:42 EDT: On Wednesday, May 27, 2026 Snowflake Inc. stock [NYSE: SNOW] is trending up by 32.7%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

SNOW has been grinding higher on the daily chart. From a close near $144 on 2026/05/04, Snowflake Inc. has pushed into the mid‑$170s by 2026/05/27, with several strong trend days and shallow pullbacks. That is the kind of steady staircase action momentum traders look for ahead of a big catalyst.

Intraday, the 5‑minute tape shows a classic volatility expansion. SNOW traded around $175–$178 during regular hours, then exploded after 16:00 from roughly $178 to above $220 and briefly into the mid‑$230s. That sort of late spike screams news‑driven or expectation‑driven buying, with shorts scrambling and breakout traders piling in.

Fundamentally, Snowflake Inc. is still losing money on a GAAP basis, with profit margins firmly negative and returns on equity in the red. But revenue is growing above 30% year‑over‑year, gross margin is a hefty 67.2%, and free cash flow for the latest quarter topped roughly $763M. The balance sheet shows over $4.0B in cash and short‑term investments against modest leverage. For traders, that mix — fast growth, strong cash generation, and a powerful chart — keeps SNOW squarely in play, even with a rich price‑to‑sales multiple.

Why Traders Are Watching Snowflake Now

SNOW is back in the spotlight because Wall Street is lining up behind the AI data‑infrastructure story ahead of the next earnings print. Wedbush just reiterated an Outperform rating and slapped a $270 target on Snowflake Inc., calling it a key beneficiary of the enterprise rush into AI. More importantly for traders, Wedbush thinks consensus revenue estimates are too conservative. When the Street says numbers are low, that’s the setup momentum traders hunt.

Bank of America is on the same side of the trade. The firm raised its SNOW price target from $195 to $205, sticking with a Buy rating and flagging expectations for strong fiscal Q1 results. They acknowledge some demand softness in the Middle East, but they still see robust overall demand carrying through the year. That kind of language often fuels pre‑earnings run‑ups as traders front‑run a possible beat.

Other shops have trimmed targets, but they have not bailed on the name. RBC cut from $245 to $220 yet kept an Outperform, pointing to a “tricky but favorable” Q1 backdrop and calling out growing adoption of Cortex Code, which may support stable to slightly accelerating product revenue. Citi lowered its target to $260 from $280, citing sector‑wide software multiple compression and AI worries, but still tags SNOW with a Buy and notes strong momentum in Intelligence and Cortex products. Cantor Fitzgerald reduced its target to $225 while maintaining Overweight, tying Snowflake Inc.’s growth directly to AI‑driven demand.

Add Oppenheimer’s Outperform and $250 target — versus a prior reference price near $151 — and you have a cluster of upside calls. They cite steady consumption, a strong pipeline, and robust large deals, even as Databricks competition intensifies. For active traders, that wall of constructive research creates a clear narrative: the valuation is being tweaked, but the AI engine under SNOW is still running hot.

More Breaking News

Conclusion

For all the talk about “AI winners,” SNOW is actually showing what real adoption looks like. The Valid Systems integration on the Snowflake AI Data Cloud gives a concrete example: banks running real‑time AI and machine learning models for deposit fraud detection directly on Snowflake Inc.’s platform. That is not hype — it is enterprise spend tied to mission‑critical workflows. Combine that with Datadog’s strong AI/cloud results, which Bank of America sees as a positive read‑through, and the broader cloud‑data backdrop looks supportive.

Traders still need to respect risk. Snowflake Inc. runs at a high price‑to‑sales, remains GAAP unprofitable, and faces serious competition from Databricks and others. There is also insider activity to track: director Michael L. Speiser recently sold about $7.18M worth of shares, though he still holds roughly 2.61M shares, a reminder that big holders remain heavily exposed.

The near‑term catalyst is the upcoming fiscal Q1 earnings release, already scheduled and on the calendar. With SNOW’s chart breaking higher, analysts calling estimates conservative, and AI‑driven use cases stacking up, volatility into and after that call is almost guaranteed. As Tim Sykes likes to say, “Volatility is opportunity — but only if you’re prepared and disciplined.” As millionaire penny stock trader and teacher Tim Sykes, says, “There is always another play around the corner; don’t chase just because you feel FOMO.”. For traders stalking Snowflake Inc., that means detailed planning, tight risk control, and the willingness to cut losses fast if the story or the price action breaks.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

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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”