According to @StockMKTNewz, Nvidia’s $NVDA market cap progressed from $550 million in October 1999 to $4.5 trillion in October 2025, with intermediate readings of $1.1 trillion in October 2023 and $3.1 trillion in October 2024 (source: @StockMKTNewz). Based on @StockMKTNewz’s figures, this equates to roughly +45% year-over-year from October 2024 to October 2025, about ~102% 2-year annualized (Oct 2023–Oct 2025), ~69% 5-year annualized (Oct 2020–Oct 2025), and ~79% 10-year annualized growth (Oct 2015–Oct 2025) (source: @StockMKTNewz). For traders across AI equities and crypto narratives, @StockMKTNewz’s timeline highlights persistent AI risk appetite; some participants may use the NVDA market cap trend as a cross-asset sentiment gauge for AI-linked themes (source: @StockMKTNewz).

According to @CNBC, Monday’s biggest analyst calls highlight Nvidia, Apple, Tesla, Alphabet, Darden, Progressive and more, as shared on Oct 20, 2025 via its post linking to https://www.cnbc.com/2025/10/20/monday-stocks-from-wall-street-analyst-calls.html?taid=68f628238b6f490001b13e48&utm_campaign=trueanthem&utm_content=main&utm_medium=social&utm_source=twitter. According to @CNBC, the update compiles the day’s notable Wall Street analyst activity for these stocks.

According to @StockMKTNewz, Nvidia CEO Jensen Huang said last week Nvidia manufactured what he called the most advanced AI chips in the world at a US-based fab for the first time. Source: X post by @StockMKTNewz on Oct 19, 2025, sharing a Fox News interview. The post links to an eight-minute Fox News interview where Huang made the remark, offering a CEO-confirmed manufacturing milestone relevant to near-term NVDA sentiment tracking. Source: X post by @StockMKTNewz on Oct 19, 2025, sharing a Fox News interview. The cited material does not provide details on chip model, production volume, pricing, or financial impact, limiting immediate quantitative trading analysis from the source alone. Source: X post by @StockMKTNewz on Oct 19, 2025, sharing a Fox News interview. The source contains no mention of cryptocurrencies or crypto mining, indicating no stated direct crypto market impact in the shared interview content. Source: X post by @StockMKTNewz on Oct 19, 2025, sharing a Fox News interview.

According to @StockMKTNewz, Nvidia (NVDA) CEO Jensen Huang said the company is now 100% out of China, noting its market share fell from 95% to 0% (source: @StockMKTNewz on X, Oct 18, 2025). Huang added, “I can’t imagine any policymaker thinking that’s a good idea,” pointing to policy decisions behind the loss of the China market (source: @StockMKTNewz on X, Oct 18, 2025). No cryptocurrencies were mentioned in the statement (source: @StockMKTNewz on X, Oct 18, 2025).

According to @business, Bloomberg is hosting a live Q&A addressing fears that circular deals involving OpenAI and Nvidia may be artificially propping up the AI boom, with journalists answering questions in real time. Source: Bloomberg (@business), Oct 16, 2025, bloom.bg/47rVYJA. For trading decisions, focus on any discussion of round‑trip arrangements, customer financing, supplier credits, and capacity prepayments, as these items directly impact perceived quality of AI revenues and capex and can drive near-term sentiment. Source: Bloomberg (@business), Oct 16, 2025, bloom.bg/47rVYJA. Given the topic framing of “sparking fears,” headline flow from the session can influence risk appetite across AI-exposed equities and AI-narrative crypto tokens, making this a live sentiment event to monitor. Source: Bloomberg (@business), Oct 16, 2025, bloom.bg/47rVYJA.

According to Soumith Chintala, Apple's actual engineering time on PyTorch support has not given him confidence that the PyTorch Mac experience will get close to NVIDIA's any time soon, if ever, source: Soumith Chintala on X, Oct 16, 2025. According to Soumith Chintala, Meta engineers are doing a large share of the heavy lifting to improve the MPS backend and feel responsible for the Mac experience, while Apple's priorities and engineering hours fluctuate, source: Soumith Chintala on X, Oct 16, 2025. According to Soumith Chintala, PyTorch has over 90% AI market share and Apple must prioritize full PyTorch software support if it wants Mac Studio to be an AI development box rather than mainly an inference machine, source: Soumith Chintala on X, Oct 16, 2025. According to Soumith Chintala, the NVIDIA stack remains the reference for PyTorch training quality versus Apple's current MPS pathway, which is a trading-relevant signal for relative AI development readiness between NVDA and AAPL ecosystems, source: Soumith Chintala on X, Oct 16, 2025. According to Soumith Chintala, he did not mention cryptocurrencies such as BTC or ETH, indicating no direct crypto market impact is stated in his post, source: Soumith Chintala on X, Oct 16, 2025.

According to @CNBC, investor Brad Gerstner said Nvidia (NVDA) will keep rising because winning the AI race is a national security matter, framing AI leadership as a policy-level priority (source: CNBC). According to @CNBC, the report does not provide price targets or timelines and does not cite any direct cryptocurrency market impact (source: CNBC).

According to @business, HSBC upgraded Nvidia ticker NVDA to Buy from Hold, citing continued growth in artificial intelligence as the primary driver, reported on Oct 15, 2025. Source: Bloomberg/@business. For traders, the upgrade introduces a bullish catalyst to monitor for near-term price and volume reactions in NVDA and the broader semiconductor complex. Source: Bloomberg/@business. Crypto angle: the source does not mention any direct cryptocurrency impact; implications for digital assets appear limited based on the reported information. Source: Bloomberg/@business.

According to @StockMKTNewz, citing Bloomberg, Nvidia (NVDA) is reportedly investing up to 2 billion dollars into Elon Musk’s xAI as part of the startup’s fundraising round. Source: @StockMKTNewz; Bloomberg. Given the headline-driven catalyst, equity traders can monitor NVDA price action and options implied volatility, along with AI chip peers, for near-term volatility until official confirmation or disclosures surface. Source: @StockMKTNewz; Bloomberg. Crypto market participants tracking the AI narrative may also watch AI-linked sentiment for spillover from this funding news, as large AI capital deployments often become short-term catalysts across related risk assets. Source: @StockMKTNewz; Bloomberg.

According to @sama, a new partnership will use AMD chips to serve users, and this is incremental to ongoing work with NVIDIA, indicating added demand across both suppliers. Source: @sama on X, Oct 6, 2025, https://twitter.com/sama/status/1975185516225278428 According to @sama, NVIDIA purchasing is planned to rise over time, flagging continued accelerator procurement that equity traders can monitor via AMD and NVIDIA order flow and options activity. Source: @sama on X, Oct 6, 2025, https://twitter.com/sama/status/1975185516225278428 According to @sama, the statement that the world needs much more compute underscores expanding AI compute requirements, but no cryptocurrencies were mentioned, so any crypto market implications are indirect and sentiment-driven rather than explicit. Source: @sama on X, Oct 6, 2025, https://twitter.com/sama/status/1975185516225278428

According to @KobeissiLetter, the SEC is reportedly moving toward allowing stocks to trade on-chain via tokens listed on crypto exchanges, with examples including tokenized shares of Tesla and Nvidia (source: The Kobeissi Letter, Sep 30, 2025). The post does not cite an SEC rule filing, proposal, or public statement, so traders should treat this as unconfirmed and wait for an official SEC release or Federal Register notice before repositioning (source: The Kobeissi Letter; no referenced SEC filing). If later confirmed, the move would follow established precedents like the SEC’s approval of BSTX to record end‑of‑day trade data on a blockchain and institutional tokenization efforts such as BlackRock’s BUIDL on Ethereum, developments that have validated certain on-chain securities models (source: SEC Release No. 34-94062, Jan 28, 2022; BlackRock press release, Mar 2024).

According to @StockMKTNewz, Nvidia (NVDA) released new open models and simulation libraries aimed at speeding robotics research and development, creating a fresh AI-robotics software catalyst that traders can tag as near-term headline flow for NVDA. Source: @StockMKTNewz on X, Sep 29, 2025.

According to @StockMKTNewz, Nvidia (NVDA) CEO Jensen Huang said competitors could give away their chips for free and Nvidia’s chips would still be the better option, highlighting perceived performance and value leadership in AI hardware. Source: @StockMKTNewz on X, Sep 29, 2025. According to @StockMKTNewz, this comment signals confidence in Nvidia’s ability to withstand price-based competition, a dynamic that traders often translate into sustained pricing power and margin support for NVDA in AI infrastructure. Source: @StockMKTNewz on X, Sep 29, 2025. According to @StockMKTNewz, traders can align this with concrete checkpoints in upcoming NVDA disclosures such as data center gross margins, AI chip ASPs, and order trends to validate the pricing-power narrative reflected in Huang’s statement. Source: @StockMKTNewz on X, Sep 29, 2025. According to @StockMKTNewz, AI leadership headlines like this are closely watched across risk assets; crypto-focused traders can monitor NVDA-driven sentiment alongside AI-themed crypto baskets for potential cross-asset flows. Source: @StockMKTNewz on X, Sep 29, 2025.

According to @StockMKTNewz, Nvidia (NVDA) CEO Jensen Huang said of Elon Musk, "I would not be surprised if he gets to a gigawatt before anyone else" (source: @StockMKTNewz on X). One gigawatt equals 1,000 megawatts of power capacity, a standard way to describe hyperscale data center scale (source: U.S. Energy Information Administration). For traders, this on-the-record comment is a direct management signal of gigawatt-scale AI infrastructure ambition, which is relevant to positioning around AI compute buildouts and associated supply chains (source: @StockMKTNewz on X). For crypto markets, grid-scale AI campuses can draw on the same regional electricity pools that also host Bitcoin mining, a large flexible load tracked by U.S. grid operators such as ERCOT (source: ERCOT public planning documents on large flexible loads including data centers and crypto mining).

According to @StockMKTNewz, Nvidia CEO Jensen Huang said he thinks OpenAI will be the next multi-trillion-dollar hyperscale company; source: @StockMKTNewz on X, Sep 28, 2025. The post provides no financial metrics, timelines, or partnership details, indicating a sentiment-driven headline rather than a formal disclosure; source: @StockMKTNewz on X, Sep 28, 2025. From a trading perspective, the source does not mention cryptocurrencies or tokens, so any crypto market impact is not specified in the post; source: @StockMKTNewz on X, Sep 28, 2025.

According to @stocktalkweekly, post-COVID retail investors have endured multiple 10% plus market pullbacks and two 30% corrections, with many retail-favorite stocks dropping 50 to 90 percent yet returning to prior highs (source: @stocktalkweekly). According to @stocktalkweekly, when the next crash and recovery occur, speculation tends to return to industry-innovating, market-leading names such as GameStop, Palantir, Robinhood, Tesla, and Nvidia rather than legacy Wall Street picks (source: @stocktalkweekly). According to @stocktalkweekly, the international expansion of commission-free brokerages and the coming tokenization of stocks, 24/7 trading, and individual stock futures are a massive tailwind for retail money flows, linking equity access to round-the-clock market structures familiar to crypto (source: @stocktalkweekly). According to @stocktalkweekly, digitization and the use of large language models are narrowing parts of the information gap between institutions and retail, reinforcing participation in high-beta leaders (source: @stocktalkweekly). According to @stocktalkweekly, these structural shifts keep retail-preferred leaders at the center of future cycles, which is trading-relevant for liquidity, momentum, and potential spillovers into tokenized assets and 24/7 venues (source: @stocktalkweekly).

According to @ReutersBiz, Nvidia announced a $100 billion investment in OpenAI, and Janet Mui of RBC Brewin Dolphin told Reuters this shows insatiable demand for computing power, source: Reuters Business. @ReutersBiz also reports Mui warned that profits from AI may be concentrated in a small number of companies, a concentration risk traders should factor into positioning and risk management, source: Reuters Business.

According to @StockMKTNewz, Evercore raised its Nvidia (NVDA) price target to $225 from $214 while maintaining an Outperform rating (source: @StockMKTNewz). The revision reflects a $11 increase, approximately 5.1% higher than the prior target, which is material for traders tracking sell-side target resets on NVDA (source: @StockMKTNewz).

According to @StockMKTNewz citing Bloomberg, Huawei has unveiled a three-year vision aimed at eroding Nvidia’s (NVDA) dominance in the AI market. According to Bloomberg via @StockMKTNewz, the report frames this as an AI hardware competition between Huawei and Nvidia focused on accelerators and AI infrastructure. According to Bloomberg via @StockMKTNewz, the cited coverage includes no mention of cryptocurrencies or tokens, so any crypto market linkage is not specified in the source.

According to @StockMarketNerd, NVIDIA (NVDA) has invested $100B in OpenAI and would sell significantly more GPUs to the company (source: @StockMarketNerd on X, Sep 22, 2025). The post includes no links, filings, or official statements to verify the claim, so it should be treated as unconfirmed information (source: @StockMarketNerd on X). Traders should wait for confirmation via NVIDIA investor relations, SEC filings, or an OpenAI announcement before repositioning, and monitor NVDA and AI-linked risk assets for potential volatility if confirmation arrives (source: lack of verification in the original post by @StockMarketNerd).