X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

marsbitОпубликовано 2026-05-27Обновлено 2026-05-27

Введение

Titled "A 'Noise-Reduction' List of 50 Top US Stock Market Influencers on X," this article curates a selection of accounts for investors seeking quality information beyond follower counts. The list prioritizes accounts that have consistently discussed US stocks, ETFs, earnings, macroeconomics, options, and tech/AI/semiconductor topics over the past 90 days. Selection criteria focused on genuine informational value, stable analytical frameworks over mere news aggregation, and a clear relevance to US equity markets, with tighter filtering for crypto-heavy accounts. The final 50 accounts are categorized into three groups: - **Core US Stocks/Trading (31 accounts)**: Covering market trends, individual stocks, earnings, valuation, options, macroeconomics, and trading strategies. - **Tech/AI/Semiconductors (18 accounts)**: Focused on tech stocks, AI supply chains, semiconductor cycles, data centers, and cloud capital expenditure. - **News Source (1 account)**: Useful as a news radar, not for standalone decision-making. Presented alphabetically by handle, the list includes analysts, traders, and researchers such as @amy6tina (options/CFA), @dylan522p (semiconductors/AI infrastructure), @gerberkawasaki (tech stocks), @jimcramer (market commentary), and @tengyanai (semiconductors/AI trends). The article suggests using the list to: 1) complete one's information sources on US markets and specific sectors, 2) observe narrative linkages between AI, semiconductors, earnings, macro liqui...

If you still judge the value of a stock market account on X solely by its follower count, your information feed is likely already flooded with noise.

Over the past few months, the information landscape about US stocks on X has become increasingly complex:

Some focus on the broader US market, earnings reports, options, and macroeconomics;

Others track AI, semiconductors, data centers, and the tech stock supply chain over the long term;

And there are those who consistently observe the interplay between tech stocks, interest rates, liquidity, and risk assets.

Therefore, instead of a simple follower ranking, we used X data to generate this: a curated list of 50 X accounts worth following for US stock investing/trading.

This list is based on several key dimensions:

1. Whether the account has consistently discussed topics like US stocks, ETFs, earnings reports, macroeconomics, options, AI tech stocks, semiconductors, data centers, etc., over the last 90 days;

2. Whether the content provides real informational value for US stock investors;

3. Whether the account merely reposts news, makes trading calls, runs giveaways, or redirects traffic, or if it offers stable viewpoints and an analytical framework;

4. Whether the account belongs to a core US stock, tech/AI/semiconductor, or highly relevant information source;

5. Additional scrutiny was applied to accounts with a relatively high focus on Crypto or ambiguous content boundaries.

The final list of 50 accounts comprises:

- Core US Stock / Trading Accounts: 31

These accounts are closer to traditional US stock information sources, mainly covering the broader market, individual stocks, earnings reports, valuations, options, macroeconomics, and trading strategies.

- Tech / AI / Semiconductor Accounts: 18

These accounts are suitable for following US tech stocks, the AI supply chain, semiconductor cycles, data centers, and cloud provider capital expenditures.

- Information Sources: 1

This type of account is suitable as a news radar, not as a sole basis for decision-making.

In other words, this list isn't about who has the most followers, but rather who is more likely to help you understand the market, supplement your information sources, and discover trading and industry chain clues.

Here is the complete list, sorted alphabetically by handle 💗:

1. 加密大聪明(@0xxsmart)| Tech stock supply chain account, focusing on semiconductors, earnings reports, valuations, and opportunities in tech stocks.

2. 问月wmoon | StableStock🐳(@_wmoon)| Tech stock supply chain account, focusing on semiconductors, earnings reports, valuations, and related US stock targets.

3. alvin617.eth 🦇🔊(@alvin0617)| Tech stock supply chain account, focusing on semiconductors, AI, ETFs, and risk asset correlations.

4. Sober聊期权, CFA(@amy6tina)| Core US stock account, focusing on options, trading strategies, earnings reports, and fundamentals.

5. 勃勃OC(@bboczeng)| Tech stock supply chain account, focusing on semiconductors, chips, the broader market, and related trading opportunities.

6. 比特傻(@bitfool1)| Core US stock account, focusing on earnings reports, valuations, fundamentals, and market opportunities related to semiconductors.

7. George Kikvadze(@bitfurygeorge)| Tech stock supply chain account, focusing on AI computing power, data centers, semiconductors, and infrastructure cycles.

8. 老陌(@blockchainrese6)| Core US stock account, focusing on the broader market, ETFs, semiconductors, and risk asset correlations.

9. Blockspace(@blockspace)| Cross-source for tech and risk assets, focusing on technology cycles, data centers, AI, and related market narratives.

10. 旺牛牛仔(@btcbears)| Tech stock supply chain account, focusing on AI computing power, data centers, macro liquidity, and related US stock targets.

11. Charles 👑(@charleskoh)| Tech stock supply chain account, focusing on electric vehicles, robotics, software/SaaS, cloud, and opportunities in tech stocks.

12. CNBC's Fast Money(@cnbcfastmoney)| US stock news and trading discussion account, covering the broader market, ETFs, macroeconomics, and hot stocks.

13. Lawrence McDonald(@convertbond)| Macro and markets account, focusing on interest rates, liquidity, cycle changes, and asset price correlations.

14. Darius Dale(@dariusdale42)| Macro and market cycle account, focusing on interest rates, liquidity, risk appetite, and changes in major asset classes.

15. Dave McClure(@davemcclure)| Tech and investment account, focusing on earnings reports, valuations, tech stocks, and growth stock market opportunities.

16. degentrading(@degentradinglsd)| Tech stock supply chain account, focusing on AI computing power, data centers, semiconductors, and related trading opportunities.

17. 交易员小帅(@diaomao2023)| Core US stock account, focusing on the broader market, ETFs, macro liquidity, and market trading rhythms.

18. Bitcoin🐝女博士(@doctormbitcoin)| Trading observation account, focusing on the broader market, ETFs, tech stocks, and risk asset correlations.

19. Dylan Patel(@dylan522p)| Semiconductor and AI infrastructure research account, focusing on tracking chips, GPUs, data centers, and cloud provider capital expenditures.

20. tae kim(@firstadopter)| Tech stock supply chain account, focusing on tracking semiconductors, chips, AI infrastructure, and tech company fundamentals.

21. Ross Gerber(@gerberkawasaki)| Tech stock investment account, focusing on Tesla, growth stocks, tech stocks, and market sentiment.

22. GURGAVIN(@gurgavin)| Core US stock account, focusing on earnings reports, valuations, tech stocks, growth stocks, and market hotspots.

23. Ace(@hackermanace)| Trading observation account, focusing on options, trading strategies, and some crypto-related US stock targets.

24. 37度(@hibtc37)| Core US stock account, focusing on earnings reports, valuations, fundamentals, and options/trading strategies.

25. RamenPanda(@iamramenpanda)| Core US stock account, focusing on the broader market, ETFs, AI computing power, and opportunities in tech stocks.

26. IncomeSharks(@incomesharks)| Core US stock account, focusing on earnings reports, technical analysis, trading strategies, and US market rhythms.

27. 零下二度(@jackli727)| Core US stock account, focusing on macroeconomics, liquidity, options, and trading strategies.

28. Jim Cramer(@jimcramer)| Well-known US stock market commentary account, consistently covering earnings reports, individual stocks, sector rotations, and market sentiment.

29. Crypto_君少(@junshao_666)| Trading observation account, focusing on macroeconomics, liquidity, the broader market, and risk asset correlations.

30. KelseyWeb3VC 🔆(@kelseyweb3vc)| Core US stock account, focusing on options, trading strategies, semiconductors, and related opportunities in tech stocks.

31. The Kobeissi Letter(@kobeissiletter)| Macro and market information source, suitable for tracking the US stock market, economic data, interest rates, and market risk events.

32. 链研社|AI First🔶💧(@lianyanshe)| Core US stock account, focusing on earnings reports, valuations, options trading, and the direction of AI tech stocks.

33. Lord William|UK(@lordwilliamuk)| Tech stock supply chain account, long-term tracking of semiconductors, chips, AI computing power, and related US stock targets.

34. MaraCake.hl(@maracakehotsale)| Trading observation account, focusing on earnings reports, valuations, the broader market, and related US stock targets.

35. matthew sigel, recovering CFA(@matthew_sigel)| Cross-over tech and finance account, focusing on tech stocks, earnings reports, valuations, and the logic of risk asset allocation.

36. 比特币橙子Trader(@oragnes)| Trading observation account, focusing on macroeconomics, liquidity, the broader market, and some crypto-related US stock targets.

37. Phil(@philonchain)| Market observation account, focusing on earnings reports, valuations, fundamentals, and trading strategies.

38. qinbafrank(@qinbafrank)| Core US stock account, recently providing consistent market views around options, trading strategies, and AI computing power-related targets.

39. Ram Ahluwalia CFA, Lumida(@ramahluwalia)| Cross-over tech and finance account, focusing on tech stocks, fintech, market structure, and investment logic.

40. rick awsb(@rickawsb)| Core US stock account, focusing on earnings reports, valuations, semiconductors, and trading opportunities in popular tech stocks.

41. MichaelTurtle 2026年加油版(@shawnchen_eth)| Core US stock account, providing market observations around the broader market, ETFs, earnings reports, and fundamentals.

42. 龙心盐(@ssslumdunk)| Core US stock account, focusing on the broader market, ETFs, options, and trading strategies.

43. Teng Yan(@tengyanai)| Tech stock supply chain account, focusing on semiconductors, AI, earnings reports, and tech industry trends.

44. Kris Kay | 🎲 444 Capital(@thekriskay)| Core US stock account, focusing on earnings reports, valuations, growth stocks, and market opportunities in tech stocks.

45. 投资TALK君(@tj_research)| Core US stock account, focusing on earnings reports, valuations, fundamentals, and options/trading strategies.

46. Michael Kao(@urbankaoboy)| Macro and trading account, focusing on options, market structure, earnings reports, and changes in fundamentals.

47. WOLF(@wolf_financial)| Tech stock and market information account, focusing on US stock hotspots, tech companies, trading sentiment, and market narratives.

48. 川沐|Trumoo🐮(@xiaomustock)| Core US stock account, focusing on earnings reports, valuations, fundamentals, and opportunities in the AI/semiconductor supply chain.

49. XinGPT🐶(@xingpt)| Tech stock supply chain account, specializing in the AI supply chain, semiconductor cycles, and risk asset correlations; data-driven and in-depth.

50. 一起发财(@yiqifacai)| Tech stock supply chain account, focusing on semiconductors, macro liquidity, and opportunities in tech stocks.

This list is more suitable for three things:

  • First, quickly completing your information sources for US stocks, tech stocks, AI, semiconductors, options, and macroeconomics;
  • Second, observing the narrative linkages between AI, semiconductors, tech stock earnings, macro liquidity, and the US stock market;
  • Third, performing a "noise reduction" and "source supplementation" for your X information feed.

It's important to note:

This is not investment advice, nor an endorsement of any account. The list reflects the content relevance, activity level, influence, and informational value of the accounts within a specific time window.

Some accounts may involve Crypto or risk asset content, but this curated list of 50 does not prioritize US stock × Crypto crossover accounts as its main focus. Instead, it prioritizes information sources that are more closely aligned with US stocks, tech stocks, AI, semiconductors, macroeconomics, and trading strategies.

The quality of your information feed determines your account's returns. Instead of panning for gold in the noise, consider adding these 50 minds to your feed with one click.

Связанные с этим вопросы

QWhat is the main purpose of the 'X 美股投资交易50位大咖「去噪」清单'?

AThe main purpose is to provide a curated list of 50 X (formerly Twitter) accounts worth following for U.S. stock investment and trading insights, focusing on information value and specific topics rather than just follower count.

QWhat are the three categories used to classify the 50 accounts in the list?

AThe three categories are: 1) Core U.S. stock / trading accounts (31), 2) Tech / AI / Semiconductor accounts (18), and 3) Information/news sources (1).

QWhat were the five key dimensions considered when creating this list of accounts?

AThe key dimensions were: 1) Consistent discussion of U.S. stocks/related topics in the last 90 days, 2) Real informational value for investors, 3) Stable viewpoints and analytical frameworks vs. just reposting news, 4) Being a core source for U.S. stocks or tech/AI/semiconductors, 5) Tighter filtering for accounts heavily focused on Crypto.

QAccording to the article, what are three recommended uses for this account list?

A1) Quickly supplement sources for U.S. stocks, tech, AI, semiconductors, options, and macroeconomics. 2) Observe the narrative links between AI, semiconductors, tech earnings, macro liquidity, and the U.S. stock market. 3) Perform a 'noise reduction' and 'source supplementation' for one's own X information feed.

QWho is Dylan Patel (@dylan522p) described as in the list, and what does his account focus on?

ADylan Patel is described as a semiconductor and AI infrastructure research account, focused on tracking chips, GPUs, data centers, and cloud provider capital expenditures.

Похожее

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

The debate surrounding Trade.xyz's refusal to adjust its SPCX (SpaceX pre-IPO) perpetual contract pricing amid updated share count revelations highlights a key challenge for on-chain pre-IPO markets. While several centralized exchanges (CEXs) paused and repriced their contracts after SpaceX's filing showed a ~10% increase in total shares, Trade.xyz maintained its market-driven pricing logic, which tracks expected per-share price sentiment rather than fundamental valuation metrics like market cap. This discrepancy triggered cross-platform arbitrage and caused leveraged long positions on Trade.xyz to suffer significant losses, as the platform's HIP-3 architecture lacks a native "Rebase" mechanism to neutrally adjust all user positions following such corporate actions. The incident underscores the difficulty for decentralized perpetual exchanges (Perp DEXs) to implement Rebase—a process CEXs handle by centrally pausing markets and adjusting ledger data. On-chain, this requires complex smart contract modifications, increasing gas costs, complexity, and potential attack surfaces. While some DEXs have managed similar adjustments, Trade.xyz's current design does not natively support it, though the team is reportedly exploring solutions for future events like stock splits. Ultimately, the controversy serves as a critical case study for the nascent on-chain pre-IPO sector, raising questions about price discovery reliability, transparent rule disclosure, and the readiness of DeFi infrastructures to handle traditional corporate actions as real-world assets (RWAs) gain traction.

marsbit6 мин. назад

Trade.xyz's Rebase Refusal Sparks Controversy, On-Chain Pre-IPO Market Faces Major Pricing Test

marsbit6 мин. назад

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

Two brothers who posed as "Middle Eastern princes" have been sentenced in the United States to 24 and 23 years in prison, respectively, and ordered to pay over $21.2 million in restitution and back taxes. Over three years, they fraudulently obtained approximately $21 million, primarily by promoting fictitious investment projects, including a non-existent cryptocurrency mining operation in a former General Electric industrial park in East Cleveland. The brothers, aged 42 and 33, created elaborate personas: one claimed to be a wealthy royal family heir and the city's "International Economic Advisor," while the other posed as a hedge fund manager with expertise from watching the TV show *Billions*. They bolstered their image by renting luxury cars and private jets and cultivating a relationship with a local mayor's chief of staff, who provided official-looking documents and government event access. A significant portion of the victims' funds, about $18 million, came from a single Chinese investor, a woman from Sichuan with experience in Bitcoin mining. The brothers also defrauded several women, including one former girlfriend. Their scheme unraveled when the primary investor discovered her $6 million worth of mining equipment had been sold off. The case highlights a trend of impostors using fabricated "Middle Eastern royal" identities to target wealthy individuals. Similar incidents include a "Dubai prince" who recently promoted a $500 million family office in Hong Kong and a Colombian man who impersonated a Saudi prince for decades in the US before being caught and sentenced in 2019.

marsbit21 мин. назад

The 'Middle Eastern Prince' Swindles a Wealthy Woman: Renting Planes and Rolls-Royces, Scamming 120 Million Over Three Years

marsbit21 мин. назад

a16z Partner: Being in the Flow of Capital Is the True Moat

A16z Partner: Standing in the Cash Flow is the True Moat Historically, many of the strongest companies built their moats by positioning themselves within "cash flows"—facilitating value creation and transfer in a network and taking a cut. The more value flows, the larger they grow. Crypto is the first modern technology natively built for this. With open ledgers, programmable settlement, and stablecoins enabling internet-speed global value transfer, it allows startups to inherit network effects from day one. Well-designed tokens align users, developers, and the protocol towards network growth, distributing value to contributors. This model isn't new (e.g., railroads, Visa, Google, AWS) but Crypto democratizes it. It lets entrepreneurs target areas with high inefficiency and profit extraction—like traditional finance's payments, custody, FX, and settlement—to compress costs, increase speed, and redistribute value by standing in the new flow. The opportunity extends beyond finance to emerging markets like GPU/compute, AI training data, energy, and space, where new, programmable infrastructure can be built without legacy constraints. Key questions for founders: Are you already in the cash flow? Does your revenue scale 10x with network activity? Where is profit extraction highest relative to value created in your market? The strategy is clear: compress the old cost structure, position yourself in the new value stream, and let the network compound.

marsbit48 мин. назад

a16z Partner: Being in the Flow of Capital Is the True Moat

marsbit48 мин. назад

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

"Agents Capture 15 Critical Zero-Day Bugs: 0G Lab's Multi-Agent Framework Automates Debugging in Consensus Protocols" Distributed consensus protocols are notoriously difficult to debug due to complex, intertwined states. A novel framework, Agora, developed by 0G Labs with researchers from NUS, Peking University, and Beijing University of Posts and Telecommunications, tackles this by fusing deep domain expertise with a collaborative multi-agent LLM architecture. Agora moves beyond the limitations of single LLMs and traditional testing like fuzzing. It employs three specialized agents: an Orchestrator for global state, a Strategy agent for generating attack scenarios using distributed systems knowledge, and a TestGen agent that creates executable tests. A core innovation is its efficient "Succinct Memory & Communication" mechanism and a dynamic test harness. This allows the system to translate abstract hypotheses into concrete tests across languages like Go and Rust, run them, capture failures, and refine the approach in a closed loop—all with minimal token overhead. In rigorous evaluations on production-level protocols including Raft, EPaxos, and components from etcd and Sui, Agora discovered 15 previously unknown deep logic bugs (e.g., execution divergence, liveness violations). In stark contrast, powerful standalone LLMs like GPT-5.2 and Claude 4.5 found zero such bugs. Agora achieved this with a high precision of 73.9% and at an average cost of only about $40 per bug found. The framework demonstrates high generalizability. Its decoupled design allows the "Multi-Agent + Hypothesis-Driven Testing" paradigm to be applied to other complex domains like database concurrency control, OS kernels, and Web3 smart contract auditing. By enabling efficient, automated detection of deep logic flaws, Agora points the way for AI-powered security in critical infrastructure, aligning with the growing trends of agentic systems and automated quality control.

marsbit52 мин. назад

Capturing 15 Top-Tier Zero-Day Vulnerabilities: A Consensus Protocol Debug Agent Framework Built by 0G Lab in Collaboration with Teams from NUS, PKU, and BUPT

marsbit52 мин. назад

Торговля

Спот
Фьючерсы
活动图片