The $25,000 day-trading minimum is gone.
As of today, June 4, FINRA's Rule 4210 amendment retires the Pattern Day Trader rule and its $25,000 minimum.
So we measured what that barrier actually cost. Using 5-minute bars for every S&P 500 ticker across every May session, we scanned for each 2%+ intraday round trip a day trader could have caught.
Our analysis flagged 4,679 potential trade opportunities. Under the old rule, a PDT-restricted trader could have only taken 12 of them, about .3% of the total.
Now that the limit is gone, we may see much broader market participation.
Dig into the relevant OHLCV data using our aggregates endpoint: https://t.co/lekkjXe7Fs
After 45 Days, 70+ traders, and $100K paper portfolio each, the winner of Clawstreet Season One is LIRA!
ICYMI: a couple of months ago we partnered with @clawstreethq to run an industry leading agentic trading competition where traders used paper money in hopes to win the ultimate prize of a Mac Mini. π»
You can find out more on how LIRA won in the Clawstreet blog.
https://t.co/ynDgdyDRVK
S&P 500 Top 10 Movers for week ending May 29th, 2026.
Top Gainers
@Dell Technologies led the pack at +43% after reporting Q1 FY2027 results with 88% revenue growth to $43.84B, 214% EPS growth to $4.86, $24.4B in new AI server orders, and a $51.3B backlog, prompting management to raise full-year guidance to $165-169B.
@Supermicro followed at +30% on halo from Dell's results and its own announcement of a new Taiwan government partnership to combat illegal diversion of its AI server hardware.
@MicronTech added +29% after UBS raised its price target to $1,625, citing a structural shift in high-bandwidth memory demand and validating the company's sold-out HBM supply through 2026.
@RobinhoodApp gained +28% on growing investor excitement ahead of the SpaceX IPO scheduled for June 12, with Robinhood selected as a primary retail distribution platform offering access to users with no minimum balance requirement.
@AppLovin rounded out the top five at +27% after an Edgewater analyst note removed competitive overhang ahead of the AXON AI advertising platform launch, with the move extended by macro tailwinds from falling oil prices.
Top Losers
@bostonsci led decliners at -16% after management cut full-year organic growth guidance to 6.5%-8% at a Bernstein conference on May 27, triggering an 11.7% single-day drop and a wave of analyst downgrades and price target cuts from Wells Fargo, Wolfe Research, and Citigroup.
@autozone dropped -14% after reporting fiscal Q3 results that missed revenue expectations at $4.84B versus the ~$4.88B estimate, with domestic same-store sales of 4.1% against the 4.7% consensus, prompting multiple analysts to slash price targets.
Rollins fell -11% after announcing CFO Kenneth Krause's resignation on May 27, followed by a Bernstein downgrade from Outperform to Market Perform with a price target cut from $70 to $52.
@ONEOK dropped -11% alongside the broader energy sector as oil prices fell on Iran nuclear deal optimism and OPEC production increase speculation, compressing midstream multiples across the board.
@Lumentum rounded out the losers at -10%, pulling back on profit-taking after surging 169% year-to-date through mid-May, with no specific catalyst as investors rotated out of high-multiple AI-infrastructure names.
All data was pulled using Massive's aggregates API.
Music: Sydney's Skyline by ALBIS (CC BY)
Massive Futures are now generally available.
Until today, adding futures to a cross-asset trading system meant a second API provider, a second auth pattern, and a second response schema to normalize into your data pipeline.
Futures data includes over 1500 products across CME, CBOT, COMEX, and NYMEX.
Futures data has been a complicated path for indie builders for a long time.
@massive_com just shipped ES, GC, CL on the same REST API as equities and options. Changes what one person can build solo. Combine with other APIs and build something cool.
https://t.co/4Pn1CxjOX5
EVER WONDER WHAT THE MOST VOLATILE PERIODS OF EACH TRADING DAY ARE, ON AVERAGE?
Me too.
I'm not gonna lie, I think this is one of the coolest things I've ever made here.
This chart shows you how volatile each rolling 30m period is over the course of an average 24 hour trading day. I even tested it out over high VIX and low VIX environments.
Did you think the first 30m of the day were the most volatile? That lunchtime was boring? Check it out.
Huge thanks to the guys over @massive_com for the data to run this. All times on this chart are Central.
Futures data ranges from $0 - $199/mo for personal plans or $999/mo for business plans. Our docs include working examples in Python, Go, JavaScript, and Kotlin.
Bookmark this one-page cheatsheet for everything Massive Futures.
Find out more in our launch announcement: https://t.co/UQzYzR8CsF
The cursor pagination from your equities or options code works on futures without modification. Same response envelope. Same error codes.
For teams already on Massive: this is an endpoint prefix change, not a new integration.
S&P 500 Top 10 Movers
Week ending May 22nd, 2026
Earnings catalysts dominated both ends of the tape, with AI hardware names surging on analyst upgrades and major partnership announcements while guidance cuts triggered the week's sharpest drops.
Top Gainers
@Dell Technologies led at +22% after Morgan Stanley raised its price target Friday, citing Dell's record $43 billion AI server backlog and strong fiscal 2027 EPS projections, driving a 15% single-day gain.
@HP Inc. followed at +21% as traders positioned ahead of earnings on expectations that the AI PC refresh cycle is translating into hardware demand.
@skyworksinc added +20% on broad semiconductor sector momentum tied to AI infrastructure demand and progress on its pending acquisition of Qorvo.
@Qualcomm gained +18% after announcing an expanded multi-year Snapdragon Digital Chassis partnership with Stellantis for next-generation vehicle cockpit, connectivity, and ADAS chips.
@dexcom rounded out the top five at +17% following an Investor Day where management outlined over 10% annual organic revenue growth through 2030, 67-69% adjusted gross margin targets, a new $1 billion share repurchase program, and a Q1 earnings beat.
Top Losers
@Intuit dropped 19% after reporting Q3 earnings that beat estimates but accompanied a 17% workforce reduction of 3,000 jobs, FY26 GAAP EPS guidance below consensus, and a warning that TurboTax online volumes are expected to decline 2%.
@Vertiv fell 12% as AI capex jitters swept through the data center infrastructure sector on Monday, with selling continuing through the week despite multiple analyst upgrades and raised price targets.
@EchoStar declined 9% after Carl Icahn disclosed a reduced stake in a 13F filing to 1.4 million shares, while broader sentiment turned on the SpaceX IPO proxy trade unwinding.
@Walmart dropped 9% on a Q1 beat that was overshadowed by a CFO warning of higher retail price inflation ahead and Q2 guidance that missed analyst expectations on both EPS and revenue.
@Regeneron fell 9% after its Phase 3 trial of fianlimab combined with cemiplimab missed statistical significance for progression-free survival in first-line metastatic melanoma, removing a key pipeline asset and pressuring future earnings estimates.
All data was pulled using Massive's aggregates API.
Gemini just passed my stock market analyst test.
ICYMI, Google released a bunch of stuff today, including an updated interactive agentic coding terminal - Antigravity 2.0 and a new model - Gemini 3.5 Flash.
Thought it would be cool to put it to the test using the @massive_com MCP server: https://t.co/RzvWjwTa7Q
In under a minute, it compared TSLA and NVDA performance over the past months and generated an outlook.
π€―