A TON OF THINGS HAPPENED IN THE STOCK MARKET TODAY. Here's a full recap: 1. Nvidia $NVDA and Palantir $PLTR expanded their AI partnership, building a new stack that combines Palantir’s sovereign AI platform with Nvidia’s custom Nemotron open models. The technology is being deployed first across Nvidia’s own supply chain, using AI to capture operational intelligence and accelerate the process from “wafer to first token.” Other companies will be able to deploy the same architecture across their own supply chains, either in the cloud or on-prem. The partnership, first announced in October 2025, has continued compounding into new verticals, use cases, and sovereign AI deployments built around one core idea: enterprises and governments want to own, control, and make sense of their own data. Palantir also hosted its 11th AIPCon today, where partners showcased how they are using Ontology, Foundry, AIP, and Sovereign AI to solve complex operational problems. 2. U.S. PPI came in slightly hotter than expected, rising 5.4% YoY versus 5.3% expected, while monthly PPI rose 0.4%, in line with estimates. Core PPI was 4.6% YoY, matching expectations, while core monthly PPI rose 0.2%, below the 0.3% estimate. Initial jobless claims came in at 206K versus 205K expected, showing labor-market claims remain broadly steady even as producer inflation stays elevated. 3. Microsoft $MSFT plans to triple its global data center capacity, expanding from roughly 12 GW today to more than 38 GW by 2032, according to Bloomberg. That would add about 26 GW of capacity, with AI-specific compute expected to grow from around 2 GW today to roughly one-third of total capacity by 2032, or about 13 GW. The target excludes compute rented from neoclouds like CoreWeave. The buildout comes after capacity shortages forced Microsoft to restrict some cloud subscriptions and turn away AI and cloud demand. Microsoft spent $145B in capex last fiscal year and has $329B in future data center lease commitments. 4. Oracle $ORCL delivered more than 300,000 GPUs to AI cloud customers since the end of Q4, nearly tripling the capacity delivered in Q4 FY26. The company’s RPO surged by $209B YoY to $664B after booking more than $30B of additional AI cloud contracts in Q1. Q1 revenue came in at $19.3B versus $19.14B expected, up 30% YoY, while adjusted EPS was $1.92 versus $1.74 expected, also up 30% YoY. Cloud revenue reached $11.6B, up 62% YoY, led by cloud infrastructure revenue of $7.4B, up 121% YoY. Oracle also guided FY revenue to at least $90B and adjusted EPS to $8.10, while disclosing $28.5B of capex, -$5.4B of free cash flow, and a $20B ATM equity program. 5. The top 10 most active options today by contracts traded were $AAPL with 2.8M contracts, $NVDA with 2.3M contracts, $TSLA with 1.6M contracts, $SPCX with 1.2M contracts, $MU with 769K contracts, $META with 750K contracts, $ORCL with 733K contracts, $INTC with 628K contracts, $GOOGL with 475K contracts, and $AMZN with 409K contracts. 6. Adobe $ADBE reported Q3’26 revenue of $6.8B versus $6.69B expected, up 13% YoY, with adjusted EPS of $6.13 versus $6.09 expected, up 15% YoY. ARR reached $27.5B, while RPO came in at $22.2B and AI-first ARR growth was 150%+. Adobe also raised its FY26 guide, now expecting revenue of $26.58B-$26.63B and EPS of $24.45-$24.50, both ahead of estimates. Segment strength remained broad, with Customer Groups revenue at $6.6B, up 14% YoY, and Creative & Marketing Professionals revenue at $4.7B, up 13% YoY. The company also crossed 1B+ monthly active users, calling it a defining moment for Adobe. 7. Uber $UBER CEO Dara Khosrowshahi bought 141K shares for about $10M at an average price of $70.96. The purchase marks Dara’s first open-market buy of Uber stock since May 2022, when he bought 200K shares at roughly $26.73. A $10M insider buy from the CEO is a notable confidence signal as investors continue watching Uber’s growth, margin expansion, buybacks, and long-term autonomous vehicle strategy. 8. Nvidia $NVDA CEO Jensen Huang says cybersecurity is likely AI’s next major market, as AI-generated code accelerates both software development and the vulnerabilities that come with it. Huang said rapidly evolving threats should drive more demand for AI-powered security and automated defenses, creating another major growth vertical for the technology. He also pushed back on the idea that Nvidia’s AI financing is “circular,” saying, “We put a little bit of money in and a lot of money comes back. We put in 1 and 100 comes back in.” Huang added that the financing only happens because the off-take is already there: “That off-take is $100B. It’s lined-up contracts. It is real stuff.” He said Nvidia knows where the demand is coming from, understands the quality of that demand, and that its financing is only a “very small part” of these projects. 9. SpaceX $SPCX CFO Bret Johnsen said the company signed another AI compute hosting deal that will generate $1.11B of revenue per month, or $13.3B annually, starting December 1, 2026. “Earlier this month, we closed another hosting deal. By the end of this year, with annualizing our December number, we're on track to hit $100B of ARR,” Johnsen said at Goldman Sachs’ Communacopia and Technology Conference. The update highlights how quickly SpaceX’s AI compute business is scaling into one of the largest infrastructure revenue stories in the market. 10. GameStop $GME CEO and Chairman Ryan Cohen bought 1M shares at an average price of $20.38, a purchase worth roughly $20.4M. His Form 4 shows 39.35M shares directly owned, while a new 13D reports 43.1M shares beneficially owned, equal to an 8.5% stake. The buy adds another insider-confidence signal at a time when investors are watching how Cohen plans to deploy GameStop’s balance sheet and reshape the company’s long-term strategy. 11. Robinhood $HOOD ended August with 28.6M funded customers, up 7% YoY, while total platform assets reached $383.7B, up 8% MoM and 26% YoY. Net deposits were $4.0B. Trading activity stayed strong, with equities at $335.4B up 68% YoY, options at 292.5M contracts up 50% YoY, crypto at $17.5B up 61% MoM but down 38% YoY, and event contracts at 4.7B, down 23% MoM but up 15x YoY. Interest-earning assets also continued scaling, with margin balances at $21.5B up 72% YoY, cash and deposits at $19.6B up 37% YoY, and cash sweep at $31.2B up 7% MoM. Robinhood also expanded the platform with agentic options and crypto trading, Robinhood Earn, Smart Income, UK crypto trading, 190+ stock tokens on Robinhood Chain, and additional Cortex and IPO Access features for RIAs. 12. Saudi oil output fell to its lowest level since 1990, as Saudi Arabia told OPEC its production declined again. At the same time, OPEC cut its 2026 global oil-demand growth forecast to 380K bpd from 580K bpd, while raising its 2027 demand-growth outlook to 2.36M bpd from 2.16M bpd, signaling a potential rebound next year. OPEC+ crude production averaged 38.05M bpd in August, up roughly 300K bpd from July. The backdrop is getting more complicated for markets, with oil pushing past $100/barrel and the 10-year Treasury yield near 4.9%. WALL STREET IS THE GREATEST SHOW ON EARTH.

# Learning Palantir Foundry 🚀 "How do we connect to an on-prem Oracle or SAP in a closed network without poking holes in the firewall?" Data Connection is what clears that first hurdle of enterprise adoption. 📌 Title and Feature URL Title: Data Connection URL: 📝 Overview Data Connection is an application that synchronizes external system data into Foundry for use across the data integration, modeling, and ontology layers. It also supports outbound connections through webhooks and data exports to write data back to external systems. It handles many source types and abstracts away the messy parts — authentication, scheduling, and monitoring — so you can configure pipelines from simple interfaces. 🔧 How It Works Foundry standardizes data connections around three principles: - Robustness: automatic retries, processing in small batches, and integrated health monitoring that warns of failures. Data should be ingested "as-is" from the most primitive source, making Foundry's versioned pipelines the single source of truth for all transformations rather than depending on external preprocessing. - Extensibility: beyond standard integrations (databases, FTPS, HDFS, S3, SFTP), the system accommodates new source types. Because core functions like scheduling and orchestration are standardized, only connection-specific adjustments are needed. - Usability: the system abstracts complexity, letting users configure through simple interfaces instead of manually managing authentication, scheduling, and monitoring. - Key components include agent setup, source configuration, batch/streaming syncs, webhooks, and exports. 🛠 Practical Usage - Access Data Connection from the workspace navigation or the application portal. - Configure a source, then set up a batch or streaming sync to ingest data "as-is." - Concentrate post-ingestion transformations in Foundry pipelines, avoiding preprocessing on the source side. - For write-back, configure outbound integrations using webhooks or exports. 🎯 Use Cases - Connect on-prem Oracle/SAP in a closed network via an agent model (outbound-only) without firewall changes. - Scheduled batch ingestion from diverse sources such as databases, SFTP, and S3. - Outbound integration to write processed results back into external systems. ⚠️ Caveats - The design assumes ingesting data "as-is" and centralizing transforms in Foundry pipelines; transforming on the source side undermines traceability. - Configuring agents and sources requires proper network and authentication setup. - Do not assume external service limits or terms; verify the constraints of each connected source in advance. #PalantirFoundry# #DataIntegration#

$IONQ just added FIU as the third announced Superion 256 site after Cambridge and $NVDA with deployment expected in late 2027 giving Florida its first on-prem trapped-ion system. IonQ is starting to sell the quantum system itself rather than just access to it through cloud.

#WATCH# | Gangtok, Sikkim: Swachhata Seva Campaign 2026 was launched in Gangtok on PM Modi’s birthday and Vishwakarma Puja. Governor Om Prakash Mathur and CM Prem Singh Tamang attended the event. One thousand diyas were lit on this occasion, wishing PM Modi a long life.

🚨Leopold/Situational Awareness returns? Since last Friday, there's been a string of significant Flex calls bought in concentrated AI names: $315M total options premiums / $1.1B of delta / $5.8M of vega. Positions: - $SNDK: Jan 2040/2200 calls - $57M prem, $198M delta, $1.04M vega. - $BE: Jan 250/310 calls - $48M prem, $140M delta, $565k vega. - $INTC: Jan 105/115 calls - $48M prem, $185M delta, $870k vega. - $CRWV: Jan 105/115 calls - $43M prem, $160M delta, $770k vega. - $DRAM: Jan 65/70 calls - $43M prem, $173M delta, $855k vega. - $SKHY: Jan 190/210 calls - $39M prem, $148M delta, $710k vega. - $AMD: Jan 540/580 calls - $36M prem, $193M delta, $1.08M vega. It'll be confirmed as Leopold if we start to see some big FLEX calls in $MU / $NBIS / $TSM soon. Data via CBOE. NMR + GS desks aligned on "single mystery buyer" narrative...

The first stage was boomer PMs pattern-recognizing CHGG being disrupted across other sectors post Claude Code The second stage is CEOs pattern-recognizing AI-adoption within their employee-base vs prior cycles of cloud eating on-prem or excel eating graph paper The third stage is CFOs pattern-recognizing AI agents as analogous to outsourcing labor to China or India The fourth stage is exec boards watching a new vertical like accounting get torched overnight and running the pattern-rec on to their own sector and panicking. Claude Code was easy to dismiss. Verifiable rewards. Domain expertise of the labs. Fully digital. When the model capability broadens you get tipping points and the second tipping point marks a pattern. Human psychology isnt rocket science.