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Thomson Reuters Corp Deepens AI Push As TRI Stock Lags Thumbnail

Thomson Reuters Corp Deepens AI Push As TRI Stock Lags

JACK KELLOGGUPDATED MAY. 18, 2026, 2:33 PM ET
Reviewed by Tim Sykesand Fact-checked by Ellis Hobbs

Thomson Reuters Corp stocks have been trading up by 7.62 percent after strong earnings and upbeat revenue guidance boosted sentiment.

Candlestick Chart

Live Update At 14:32:55 EDT: On Monday, May 18, 2026 Thomson Reuters Corp stock [NASDAQ: TRI] is trending up by 7.62%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

For traders, TRI is a classic “strong business, weak chart” situation. The stock has slid from the $99–$102 zone on 2026/05/05 down to around $89.04 by 2026/05/18. That is a sharp reset after Q1 earnings, even though the report was solid.

On the tape, Thomson Reuters Corp has been making lower highs since early May, with bounces toward $93–$96 getting sold. The latest daily candle shows a gap up from $83.78 to close near $89.04, signaling dip buyers are willing to step in, but overhead supply from the $90–$95 band is real. Intraday, the 5‑minute chart shows a steady grind higher from the mid‑$83s in the morning toward the high $89s into the close, a controlled trend rather than a blow‑off spike.

Fundamentally, TRI is not trading like a broken company. It just printed Q1 revenue of $2.09B versus $2.05B expected and adjusted EPS of $1.23 versus $1.21. Margins are healthy, with EBITDA margin pushing around 30% and profit margins near 20%. A P/E near 25 and price‑to‑sales around 4.9 put TRI in quality‑compounder territory, not a penny‑stock flyer, so traders should expect slower but more reliable moves, especially around catalysts.

Why Traders Are Watching TRI’s AI And Analyst Reset

The story around TRI right now is the tug‑of‑war between AI fear and AI execution. On one side, you have sector‑wide derating as the market worries that generic AI models will undercut data and software platforms. On the other, you have Thomson Reuters Corp actually using those same models to deepen its moat.

Q1 2026 showed the core engine is humming. TRI delivered 10% total revenue growth, 8% organic, and 9% adjusted EBITDA growth. Adjusted EPS climbed 10%. Management reaffirmed 2026 guidance for 7.5%–8% revenue growth, 100 bps of margin expansion, and about $2.1B in free cash flow. That is not a panic guide‑down; it is a confident “stay the course.”

Where TRI really stands out is capital returns. The company pushed through a 10% dividend increase, returned $605M via capital return and share consolidation, and is working through a $600M buyback. Leverage is only 0.8x EBITDA, so there is room to keep rewarding holders without stressing the balance sheet.

Yet the stock is down roughly 28% year‑to‑date, which is exactly why traders are circling. CFRA upgraded TRI to Buy from Hold, lifting targets to $110 in the U.S. and CAD150 in Canada, and explicitly saying AI competitive risk looks less severe than feared. TD Securities went further, raising its target to C$185 with a Buy.

At the same time, Scotiabank and Barclays chopped price targets while keeping positive ratings. Scotiabank cut to $138 from $156 and still calls TRI Outperform. Barclays went from $170 to $130 but stayed Overweight. Translation for traders: the Street likes Thomson Reuters Corp, but it is recalibrating how much it is willing to pay for the story.

Layer on the AI news flow. TRI is expanding its partnership with Anthropic, wiring Claude directly into its CoCounsel Legal platform via the Model Context Protocol. Lawyers can jump between general‑purpose Claude and citation‑grounded legal workflows inside Thomson Reuters Corp’s ecosystem. With Sterne Kessler, TRI also built the Patent Claim Eligibility Analyzer, a specialized tool for tricky Section 101 patent work. These are not toy chatbots; they are domain‑specific workflows that lock in professional users.

Despite that, shares dropped about 2.9% on one of the Anthropic announcements. That tells traders sentiment is still heavy. Good news is not yet getting full credit, which is exactly the type of disconnect short‑term traders and swing traders study.

More Breaking News

Conclusion

TRI sits at an interesting crossroads. The chart shows a broken uptrend from early May, with the stock sliding from triple digits into the high $80s. But the business underneath looks anything but broken. Thomson Reuters Corp is throwing off strong cash, growing high‑single to low‑double digits, and leaning hard into AI partnerships that plug Claude into high‑value legal tasks.

For active traders, that mix creates a simple game plan: respect the technicals, but do not ignore the fundamentals. The $83–$85 zone that attracted buyers intraday now acts as a key support area. The $93–$96 band that repeatedly rejected TRI is the first serious resistance. How price behaves between those levels around the next AI or earnings headline will matter more than anyone’s opinion.

The analyst rerating cycle adds more fuel. CFRA’s upgrade and TD’s target hike show one camp betting the selloff went too far. Scotiabank and Barclays, trimming targets but keeping bullish ratings, show another camp still nervous about sector multiples even while TRI’s model holds up.

As Tim Sykes likes to remind traders, “The market doesn’t care about your opinion, only about your preparation.” As millionaire penny stock trader and teacher Tim Sykes says, “Embrace the journey, the ups and downs; each mistake is a lesson to improve your strategy.”. For Thomson Reuters Corp, that preparation means watching how TRI trades around AI news, earnings updates, and those clearly defined support and resistance zones. This article is for educational and research purposes only and is not investment advice.

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 .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

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”