According to @StockMKTNewz, Prospero AI’s Short Term bull list currently features Baidu (BIDU), Salesforce (CRM), Netflix (NFLX), Alibaba (BABA), Meta Platforms (META), Eli Lilly (LLY), Google/Alphabet (GOOGL), Enersys (ENS), Intel (INTC), and MercadoLibre (MELI), indicating a near-term bullish signal on these tickers for momentum-focused traders (Source: @StockMKTNewz on X, Nov 12, 2025). For crypto traders, periods led by mega-cap tech strength have historically coincided with tighter positive co-movements between Bitcoin (BTC), Ether (ETH), and equities, so any sustained rallies in META, GOOGL, INTC, and NFLX could have spillover risk-on effects to digital assets (Source: International Monetary Fund, Crypto Prices Move More in Sync With Stocks, Jan 2022).

According to @StockMKTNewz, Nvidia (NVDA), Apple (AAPL), Microsoft (MSFT), Google (GOOGL), Amazon (AMZN), and Meta Platforms (META) together generate USD 1.1 million in profit every minute (source: @StockMKTNewz on X, Nov 10, 2025). The post lists the combined figure and tickers but does not provide timing context, methodology, or a per-company breakdown, so no additional earnings detail is offered in the source (source: @StockMKTNewz on X, Nov 10, 2025). The post includes a link to Blossom App on X for context, but no further data is summarized in the source text provided (source: @StockMKTNewz on X, Nov 10, 2025). The source does not reference cryptocurrencies such as BTC or ETH, so no direct crypto-market read-through is provided in the post (source: @StockMKTNewz on X, Nov 10, 2025).

According to Soumith Chintala, he will step down from PyTorch and leave Meta on November 17, 2025 (source: Soumith Chintala on X, Nov 6, 2025). He stated that PyTorch now handles exascale training, powers foundation models, is taught widely, and is in production at virtually every major AI company with 90%+ adoption in AI (source: Soumith Chintala on X, Nov 6, 2025). He emphasized a prepared succession bench—Edward, Suo, Alban, Greg, John, Joe, Jana, Jason and others—saying the project no longer depends on him and is truly resilient (source: Soumith Chintala on X, Nov 6, 2025). He pointed to a coherent PyTorch Conference product story and said the 2025 product lineup and execution will evidence continued strength (source: Soumith Chintala on X, Nov 6, 2025). He noted the PyTorch Conference now draws around 3,000 attendees where market-moving deals are brokered, underscoring deep industry integration (source: Soumith Chintala on X, Nov 6, 2025). He added that he is pursuing a small new venture outside Meta while staying involved with the community, including filing issues (source: Soumith Chintala on X, Nov 6, 2025).

According to @StockMKTNewz, Microsoft spent $35B, Amazon $34B, Google $24B, and Meta $19B on capital expenditures last quarter, totaling over $100B, with more than $250B across the first three quarters of 2025, source: The Wall Street Journal as cited by @StockMKTNewz on Nov 2, 2025. WSJ reports these outlays are primarily aimed at AI infrastructure and data center buildouts, indicating sustained demand for advanced compute and power capacity, source: The Wall Street Journal as cited by @StockMKTNewz. NVIDIA has disclosed that hyperscaler AI investments are a key driver of its data center revenue growth, linking elevated hyperscaler capex to GPU supplier demand, source: NVIDIA Form 10-Q and Q2 FY2025 earnings commentary. Several Bitcoin miners have added non-Bitcoin revenue via AI and HPC hosting tied to this infrastructure demand, including Core Scientific’s multi-year agreements with CoreWeave announced in June 2024 and TeraWulf’s HPC hosting expansion, source: Core Scientific press release dated June 3, 2024; TeraWulf Q2 2024 shareholder update.

According to @CNBC, Reddit CEO Steve Huffman said the company "sees both sides" of lawsuits targeting AI firms for data scraping, signaling a balanced stance toward content owners and model developers, in comments highlighted on Oct 30, 2025. Source: CNBC. Reddit has monetized its corpus via licensing, including a deal with Google reported at about $60 million per year, creating a recurring high-margin revenue line that traders track for RDDT. Source: Reuters. Reddit also announced a partnership with OpenAI to integrate Reddit content into ChatGPT and provide API access for model training, reinforcing the strategic value of first-party data for AI. Source: Reddit Inc. (company blog/IR). Ongoing cases such as The New York Times v. OpenAI and Microsoft challenge the use of copyrighted material in training datasets and highlight legal risk around unlicensed scraping, a headline factor for AI-exposed equities. Source: The New York Times court filing; Reuters. Data licensing is disclosed as a revenue stream in Reddit’s SEC filings, making litigation outcomes directly relevant to RDDT’s revenue mix and potential pricing power for future content deals. Source: Reddit S-1/SEC filing. For mega-cap AI players, greater licensing requirements or adverse rulings would raise data acquisition and compliance costs that flow through to model training economics for GOOGL, MSFT, and META, which equity traders monitor as margin risk. Source: U.S. Congressional Research Service (Generative AI and Copyright). In crypto, AI-linked tokens such as RNDR and FET have shown sensitivity to major AI headlines, making this legal overhang a relevant thematic risk for the AI narrative in digital assets. Source: Kaiko Research.

According to @KobeissiLetter, Meta stock (META) fell nearly 10% after missing Q3 2025 earnings expectations due to a $15.9 billion one-time expense. According to @KobeissiLetter, the one-time charge drove the earnings miss and immediate downside move in META shares.

According to @StockMarketNerd, long-term investors should be most excited when $META, $MSFT, $AMZN, or $GOOGL fall deeply out of favor due to overly negative sentiment, framing such drawdowns as potential long-term accumulation opportunities in mega-cap tech stocks, source: @StockMarketNerd. The post implies that traders can monitor sentiment-driven selloffs in these tickers as potential buy-the-dip setups aligned with long-horizon positioning, source: @StockMarketNerd. No direct cryptocurrency impact or correlation is discussed in the post, source: @StockMarketNerd.

According to @ReutersBiz, Meta’s AI-powered Ray-Ban glasses boosted EssilorLuxottica sales and added roughly $20 billion to its market value, Reuters reported. Reuters reported that the Ray-Ban Meta smart glasses are co-developed by Meta and EssilorLuxottica and were cited as the driver of the valuation jump. For traders, Reuters highlighted upside in EssilorLuxottica’s valuation and renewed attention on Meta’s AI wearable strategy, while Reuters did not cite any direct cryptocurrency market impact.

According to @StockMKTNewz, Prospero AI currently flags the highest Net Options Sentiment Scores in BE, COIN, ARM, META, LLY, AMD, BABA, NKTR, NBIS, CRWV, and RACE, indicating unusually strong bullish options sentiment across these names (source: @StockMKTNewz on X citing Prospero AI). For crypto-focused traders, COIN’s inclusion among the leaders highlights elevated bullish options positioning in a crypto-exposed equity, a potential signal to monitor for sentiment spillover into crypto-related trading activity (source: @StockMKTNewz on X citing Prospero AI). High net options sentiment is commonly watched for potential near-term momentum and volatility in the underlying, guiding strategies such as tracking implied volatility, options volume, and open interest trends into the next sessions (source: Cboe Options Institute).

According to @StockMKTNewz, Mark Zuckerberg and Meta Platforms (META) announced plans to invest $1.5 billion to build a gigawatt-sized data center in Texas, source: @StockMKTNewz on X, Oct 15, 2025. The post specifies issuer (META), capex of $1.5 billion, gigawatt-scale capacity, and Texas location, offering concrete inputs traders can track for AI infrastructure exposure, source: @StockMKTNewz on X, Oct 15, 2025. No timeline, precise site, or vendor details were included in the post, source: @StockMKTNewz on X, Oct 15, 2025. Crypto market participants tracking AI-infrastructure headlines can note the confirmed scale and location of this build, source: @StockMKTNewz on X, Oct 15, 2025.

According to @business, investors have committed unprecedented sums to AI and the report questions whether those outlays will ultimately pay off, highlighting sector ROI uncertainty (source: Bloomberg/@business tweet linking to Bloomberg article). The Bloomberg-linked post raises AI bubble concerns as OpenAI, Microsoft, and Meta increase spending, signaling that payback timelines are a central risk for valuations and risk premiums in AI-exposed equities (source: Bloomberg/@business). For trading, the source points to a capex-heavy phase where guidance on AI spend, profitability, and free cash flow from Microsoft and Meta will be critical for sentiment as markets gauge return timelines (source: Bloomberg/@business).

According to @StockMKTNewz, Prospero’s short-term bull list on Oct 6, 2025 features Eli Lilly LLY, Alibaba BABA, AMD AMD, Baidu BIDU, Meta Platforms META, PayPal PYPL, Amazon AMZN, Novo Nordisk NVO, Microsoft MSFT, and JD.com JD. According to @StockMKTNewz, the post signals a short-term bullish bias for these tickers but does not provide entry levels, stop losses, or a defined time horizon beyond short term. According to @StockMKTNewz, no cryptocurrencies or digital assets are mentioned and the post states no direct implications for BTC, ETH, or the broader crypto market.

According to @ReutersBiz, starting December 16, Meta will integrate user AI conversations into data used for content and ad personalization, with no opt-out available (source: Reuters Business on X, Oct 1, 2025). The stated December 16 rollout gives traders a clear implementation date to monitor for any platform-level changes that could appear in end-of-quarter operational updates (source: Reuters Business on X, Oct 1, 2025). The post does not reference any cryptocurrency or blockchain-related features or impacts, indicating no direct crypto tie-in in this report (source: Reuters Business on X, Oct 1, 2025).

According to @StockMKTNewz on X, Mark Zuckerberg received a $179.6 million dividend from his Meta shares, underscoring the scale of Meta’s shareholder cash returns (source: @StockMKTNewz, Sep 30, 2025). Meta announced a recurring $0.50 per-share quarterly dividend in February 2024, establishing a predictable payout framework for income-focused strategies (source: Meta Platforms investor relations press release, Feb 1, 2024). Dividend amounts are paid pro rata to share count under standard equity mechanics, informing portfolio sizing and expected cash flow for traders (source: SEC Investor.gov guidance on dividends). On the ex-dividend date, a stock’s price typically adjusts by approximately the dividend amount, which is critical for timing entries, exits, and dividend-capture tactics in META (source: Nasdaq Market Basics education). Deep-in-the-money American-style call options can face early exercise risk around dividend dates, affecting covered call and buy-write positioning in META (source: Cboe Options Institute education), and the source post did not cite any direct cryptocurrency market impact (source: @StockMKTNewz on X).

According to @StockMKTNewz, citing Reuters, Meta (META) announced plans to acquire chip startup Rivos to bolster its in-house semiconductor efforts. Source: Reuters via @StockMKTNewz. The source post did not disclose transaction terms or a closing timeline for the planned acquisition. Source: @StockMKTNewz. For trading, monitor META for any official filings or regulatory updates tied to the acquisition plan; the report did not reference digital assets or crypto market impact. Source: Reuters via @StockMKTNewz.

According to @business, CoreWeave has signed a $14 billion deal with Meta that highlights strong AI demand and links to a Bloomberg Intelligence discussion, source: @business. This headline provides a fresh data point for positioning in META shares and AI-exposed assets, including AI-related crypto narratives, source: @business. The announcement was posted on Sep 30, 2025, offering timely context for order flow and liquidity planning, source: @business.

According to @StockMKTNewz, citing Reuters, Mark Zuckerberg and Meta said U.S. allies in Europe and Asia will now have access to Meta’s AI Llama models (source: Reuters via @StockMKTNewz, Sep 23, 2025). The report confirms an expansion of Llama availability into allied markets across Europe and Asia, signaling broader distribution of Meta’s AI stack that traders may monitor for headline-driven moves in related equities (source: Reuters via @StockMKTNewz). The cited post does not provide rollout timing, partner names, or commercial terms (source: @StockMKTNewz).

According to @CNBC, Monday’s biggest analyst calls spotlight Nvidia (NVDA), Apple (AAPL), Netflix (NFLX), Tesla (TSLA), Meta (META), Amazon (AMZN), Nike (NKE), Micron (MU), and General Motors (GM) in a consolidated roundup for traders (Source: CNBC). @CNBC reports these are the session’s most notable Wall Street calls, offering a single reference to review the latest coverage and prioritize premarket watchlists (Source: CNBC). For crypto-focused traders tracking AI-linked equities, @CNBC’s list provides context to monitor cross-asset risk appetite during U.S. trading hours (Source: CNBC).

According to @KobeissiLetter, Oracle (ORCL) is in talks with Meta (META) on a $20 billion AI cloud computing deal, source: X post by @KobeissiLetter on Sep 19, 2025. The source states only that discussions are underway and provides no terms, timeline, or official confirmation from Oracle or Meta, source: X post by @KobeissiLetter on Sep 19, 2025. The post does not mention any cryptocurrency or digital asset implications, source: X post by @KobeissiLetter on Sep 19, 2025.

According to @DeepLearningAI, Meta announced LlamaFirewall, an open-source toolkit designed to protect LLM agents from jailbreaking, goal hijacking, and exploitation of vulnerabilities in generated code. Source: DeepLearning.AI tweet https://twitter.com/DeepLearningAI/status/1967986588312539272; DeepLearning.AI The Batch summary https://www.deeplearning.ai/the-batch/meta-releases-llamafirewall-an-open-source-defense-against-ai-hijacking/ The toolkit is free to use for projects with up to 700 million monthly active users, as stated in the announcement. Source: DeepLearning.AI tweet https://twitter.com/DeepLearningAI/status/1967986588312539272; DeepLearning.AI The Batch summary https://www.deeplearning.ai/the-batch/meta-releases-llamafirewall-an-open-source-defense-against-ai-hijacking/