Massive

Massive x ClawStreet: Agentic Trading Competition $100K paper portfolio. Public leaderboard. Prizes for the agents that actually perform. Registration now open. No entry fee, just trade. Contest starts Monday, April 13th. Link⬇️

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: github.com/massive-com/mc… In under a minute, it compared TSLA and NVDA performance over the past months and generated an outlook. 🤯

@novotnycodes Quite a bit more red on here than last week!

S&P 500 WoW% Heatmap Week of May 8th, 2026.

S&P 500 Top 10 Movers recap for week of May 8th, 2026. A cybersecurity surge and an earnings gap drove some of the largest single-week moves of the year, while a wave of litigation, export policy disappointment, and an analyst downgrade hit the losers hard. Top 5 Gainers @Cisco led at +22% after reporting record fiscal Q3 revenue of $15.84B and disclosing AI-related orders surging from $5B to $9B year-to-date, with shares gapping up more than 20% on May 14 following the earnings release. @PaloAltoNtwks gained +17% on a combination of AI cybersecurity tailwinds tied to the Anthropic Mythos threat narrative, the launch of its new Idira identity security platform, and Oppenheimer raising its price target to $275. @ZebraTechnology rose +15% after Q1 adjusted EPS of $4.75 beat the $4.33 consensus estimate, with management raising full-year guidance. @CoherentCorp added +14% after Bank of America raised its price target to $400, citing 20-30% market share in 800G and 1.6T optical transceivers and upcoming laser shipments for Nvidia's co-packaged optics program. @CrowdStrike gained +13%, hitting a new all-time high after BTIG raised its price target to $621 following positive channel checks, as AI-driven enterprise cybersecurity consolidation continued to accelerate. Top 5 Losers @CRiverLabs fell 15% despite beating Q1 estimates, after management cut its full-year FY2026 guidance, triggering a selloff even as several analysts raised price targets following the report. @Carvana dropped 14% as investors locked in gains following a 5-for-1 stock split effective May 8, which came after a roughly 400% surge in the prior session. @intel fell 13% after the Trump-Xi summit ended without chip trade agreements or progress on export restrictions, compounded by a bond-market rout reigniting rate-hike fears that hit semiconductor stocks broadly. @Supermicro Computer declined 12% as Hagens Berman filed a securities class action alleging that executives concealed an illegal scheme to divert approximately $2.5 billion in Nvidia-powered AI servers to China through a Southeast Asian shell entity. @ConstellationEG dropped 12% after Argus analyst John Eade cut his price target 18%, from $425 to $350, arguing the stock should trade on utility industry multiples rather than semiconductor-sector comparables. All data was pulled using Massive's aggregates API.

Using Massive, 2 API calls reconstruct the full retail IPO gap, and our data goes back to 2008. IPOs for the S-1 range and final offer price: massive.com/docs/rest/stoc… Open close for the first public trade: massive.com/docs/rest/stoc… Folks like @AlpacaHQ are helping close the gap with launches like this. x.com/AlpacaHQ/statu…

NYSE Net Order Imbalance (NOI) is live on Massive. Checkout this demo we made using @claudeai and the Massive llms.txt file. It is a simple terminal for traders who want to see auction pressure before the open, close, or halt auction clears. The example connects to Massive's stock WebSocket feed, subscribes to NOI channels, and turns each event into a readable table with direction, paired shares, indicative clearing price, and convergence. Instead of dumping raw messages, it shows whether buy or sell pressure is growing or shrinking as the auction approaches. NOI covers NYSE-listed tickers and requires NYSE order imbalance access. The blog walks through the feed, the event fields, and the monitor pattern so quants and fintech builders can adapt it for watchlists, dashboards, or auction-aware trading research. You can find out more about this in our blog: massive.com/blog/build-a-n… Or find the code for the demo in Github: github.com/massive-com/co…

@massive_com provides the current day's open interest data.. No need to wait. We give you today's, every single morning.

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It's really that simple..

S&P 500 Top 10 Movers recap for week of May 4th, 2026 It was one of the most volatile earnings weeks ever seen, with several S&P 500 components moving more than 40% on the week. Top Gainers @datadoghq led the pack at +42% after reporting Q1 revenue of $1.006B, up 32% year-over-year, and raising full-year guidance by $240M on accelerating AI-native customer spend. @Akamai followed at +42% on a Q1 beat and a surprise $1.8B, seven-year AI infrastructure commitment from a frontier model provider. @MicronTech added +38% on blowout earnings showing 196% year-over-year revenue growth and fully booked high-bandwidth memory capacity through 2026. @Fortinet landed at +32% on a strong Q1 EPS beat and raised full-year guidance, both driven by accelerating AI-security demand. @SanDisk gained +32% after announcing five long-term AI memory supply agreements representing over $42B in minimum contractual revenue, with fiscal Q3 gross margins exceeding 80%. Top Losers @Zoetis dropped 27% after missing Q1 estimates on both lines as U.S. companion animal sales fell 11% on weaker pet owner demand, with management cutting full-year guidance. @CDWCorp fell 23% on margin compression and cautious H2 commentary. @AristaNetworks dropped 18% despite a beat-and-raise quarter, after management warned of 1-2 year supply chain constraints and gross margin pressure. @CencoraGlobal fell 14% on a Q2 miss and a roughly $9B cut to full-year sales guidance. @LeidosInc dropped 13% as a Q1 beat was overshadowed by DOGE-driven government spending cuts, with multiple analysts lowering price targets. All data was pulled using Massive's aggregates API.

What is a dark pool? It is a private trading venue where large orders can be matched without publishing a pre-trade quote. Institutional investors use them to move size without telegraphing their intent. If a pension fund needs to buy ten million shares of AAPL, doing it in the lit market would move the price against them before they finished filling. A dark pool lets them cross size with a counterparty and only report the trade after it executes. Massive's stock trades WebSocket channel publishes every U.S. equity trade as it prints. Each trade message carries fields that tell you where it executed. Two of them matter for dark pool filtering: exchange and trf_id. A trade is a dark pool print if exchange = 4 and trf_id is present. From there, a notional threshold (price multiplied by size) is the cleanest way to narrow the feed down to institutional-sized prints. Checkout this ready to run dark pool scanner that filters for notional value over $100,000, which cuts out most of the small-lot retail fills and leaves you with the block-sized activity that carries real signal.

@ivrespecter Got it, please DM here on X and I can help. We've had 800+ requests to join the beta, so I have no way to find the conversations you're referencing without the relevant account details 😀

data aggregation requires special handling, but they're a fraction of the price. If Massive delays much longer, I'll have progressed too far in coding to justify onboarding, instead keeping DataBento as the secondary. Too bad early access didn't work out.

Support did not reply to my DM, but did reply to an email sent after not receiving a reply to said DM. Alas, no mention of early access. Paraphrasing: "We'll release soon so wait just a little longer." So...yeah. Meanwhile, Algoseek's data is phenomenal and their team is amazing.

S&P 500 top 10 movers, week of April 27 - May 1, 2026 Earnings drove the tape this week. Top Gainers @Centene led the index at +27.55% after Q1 adjusted EPS of $3.37 came in 80% above consensus and management raised 2026 adjusted EPS guidance to over $3.40 on Medicaid margin recovery. @Seagate +24.00% printed fiscal Q3 revenue of $3.11B, up 44% YoY, and guided Q4 revenue and EPS far above the Street on AI storage demand. @NXP Semiconductors +20.98% beat on Q1 and guided Q2 revenue 18% higher on automotive and AI chip strength. @intel +20.68% extended the prior week's earnings rally as HSBC doubled its price target to $95. @SanDisk +19.91% reported fiscal Q3 revenue of $5.95B, more than 30% above the high end of guidance, with data center revenue up 233% sequentially. Top Losers @Teradyneinc fell 17.37% after Q1 beats were undone by Q2 guidance implying a sequential dip and weaker H2 semiconductor test demand. @BldrFirstSource -15.90% missed Q1 adjusted EPS by roughly 31% as the housing market weakened, with single-family sales down 11%. @Pentair -13.79% beat on Q1 but Barclays, TD Cowen, and BofA all cut their price targets. @RobinhoodApp -13.04% saw Q1 crypto revenue collapse 47% YoY to $134M, swamping growth in other segments. Alexandria Real Estate -12.68% cut full-year occupancy and same-property NOI guidance after Q1 operating occupancy dropped to 87.7%, citing biotech tenant leasing weakness. All price data comes from the Massive Aggregates API.

@ivrespecter Got it. If you DM me your account email I'll enable early access now, and can also look into why/how we may have missed your messages. Appreciate your interest in the service!

@massive_com I did and I do have an active advanced subscription. Two, when futs are available. This is good news and I’m eager to get to work on the futures data.

.@massive_com just now getting around to producing error-free corporate actions data. Finally. They still aren't acknowledging emails asking when futures data will be available, but they've marketed for months. Don't bother with these people. Use Algoseek or DataBento, Anon.

BREAKING. Massive has launched new endpoints for analyzing insider and institutional filings. To put it to the test, we asked @claudeai using the Massive market data connector just one prompt. Pull Brain Armstrong's Form 3 from Coinbase's April 2021 IPO and total his Form 4 transaction activity since. What is his net cash out vs starting position? Claude Opus 4.7 queried both endpoints, processed the data, and charted out net sales. This kind of analysis used to take an afternoon of digging through disparate filings. Now, you can do it with one question using Massive and AI. 🚀

@SteveDJacobs @TheShortBear @tradingview @finviz_com Love to see how our data being used. Thanks for the call out. Any feedback from working with Massive?

This post above is constructed with @tradingview EoD data which also has a corresponding "Weekly Vs Monthly" Absolute Strength Quadrant Chart (pic 1). There is also a version using the exact same design/logic but built on @finviz_com (pic 2 and 3). I have recently subsscribed to @massive_com as my data provider for my backtesting work. Congratulations @TheShortBear on the inclusion in the next Market Wizards book - you are an inspiration to us all! 🙌🔥

📈Leading Stocks In Leading Industries (TradingView) The chart shows largest stocks in the strongest industry groups, based on "Week x Month" Relative Strength (RS) 🏭Industries: sorted ⬆️ strongest-weakest ⬇️ Stocks: sorted ⬅️smallest-to-largest ➡️market cap “You want to own the leading stocks in the leading industry groups.” - William O'Neil * Daily $ Vol >= $50M

@novotnycodes @QCompounding This ☝️

@QCompounding Massive (formerly polygon) also has an easy to use MCP server that can connect our live data to LLMs for research or coding projects. github.com/massive-com/mc…

Bloomberg killers list

Being #1 on this list alongside many of our customers is quite the honor!