Neon68

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Neon68

Neon68

@Neon68

don't buy or sell only of my tweets!

Zürich Se unió Ekim 2008
2.4K Siguiendo772 Seguidores
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Anders Storm
Anders Storm@StormDirac·
Goldman just published their AI capex framework: $7.6T from 2026-2031. The headline isn't the story. The story is that 4 assumptions can move that number by hundreds of billions, and Goldman explicitly flagged optics as the next "buy out the store" chokepoint. My read on the framework ⤵️ Paid access via link below. "This is essentially Goldman’s institutional research arm telling clients: watch the optics supply chain for the same dynamics that played out in HBM memory." "Even the bear case represents the largest sustained infrastructure build in semiconductor history. The base case is roughly 4x the entire global semiconductor industry’s annual revenue." open.substack.com/pub/andersstor…
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Vinod
Vinod@BoxTraderVK·
$MRAM Who doesn't love AI MEMORY, what if the company has MONOPOLY This name is THE FOCUS, FULLY HANDS ON FOLKS are running over each other to buy LETS SEE!! 🧲 MRAM (Everspin Technologies) — Full Summary What the Company Is World's only pure-play public MRAM company — no direct publicly traded competitor Designs, manufactures, and sells Magnetoresistive RAM — memory that uses magnetism (not electrical charge) to store data Spun out of Freescale Semiconductor in 2008, headquartered in Chandler, AZ 650+ active patents, 120M+ units deployed globally Why MRAM Tech is Special Writes 500x faster than NOR Flash Uses 10x less energy than NAND Flash Virtually infinite write cycles (trillions vs. thousands for Flash) Non-volatile — retains data with zero power Radiation-resistant — works in space, deep sea, and military environments 20+ year data retention Deployed in: lunar landers, satellites, aircraft black boxes, ventilators, hemodialysis machines, IBM FlashCore Modules — places where memory failure = death or mission failure Business Model (3 Revenue Streams) Product sales — discrete MRAM chips to OEMs (data center, industrial, auto, defense, medical) Licensing — 600+ patent portfolio licensed to chipmakers embedding MRAM Foundry services — backend wafer processing for embedded MRAM customers Q1 2026 Earnings (Reported April 29) Revenue: $14.9M — up 13.2% YoY, beat estimates Product sales: $14.1M — up 28% YoY Non-GAAP EPS: $0.11 — beat by $0.02 Gross margin: 52.7% (up from 51.4% YoY) Cash: $40.5M, debt-free Net loss narrowed to only $0.296M vs. $1.166M a year ago Q2 2026 guidance: $15.5M–$16.5M Major Catalysts $40M US Government Subcontract — 2.5-year deal supplying Toggle MRAM for military/aerospace defense 10-Year Microchip Technology Manufacturing Deal — onshoring domestic production at Microchip's Oregon fab; first products H2 2027 National Security Tailwind — US gov issued RFI seeking domestic 300mm MRAM wafer production as critical national security priority 238 design wins ramping across industrial, transportation, and data center
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wincy.eth
wincy.eth@gusik4ever·
the fastest growing GitHub repos in finance this week: 1. FinceptTerminal (+10.7K ★) open-source Bloomberg alternative built in C++20 + Qt6. 37 AI agents in Buffett/Munger/Lynch/Graham style. 100+ data connectors. real-time trading with 16 broker integrations. CFA-level analytics in a single native binary. no Electron, no browser. 2. TradingAgents (+1.5K ★) multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager; all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers. 3. last30days-skill (+1.4K ★) AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket and the web in the last 30 days. plug it into any agent. zero setup, instant alpha. 4. daily_stock_analysis (+1K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. 5. QuantDinger (+919 ★) self-hosted AI quant OS. research markets, generate Python strategies, backtest ideas, run live trading. crypto, US stocks via IBKR, forex via MT5. one Docker Compose, your infra, your data. 6. HKUDS/Vibe-Trading (+611 ★) personal trading agent from HKU. natural language → strategy → backtest → export to TradingView/MT5/TDX. 71 finance skills, 29 swarm team presets, cross-session memory. one pip install. 7. freqtrade/freqtrade (+467 ★) free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. 8. OpenBB-finance/OpenBB (+447 ★) open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 9. ashishpatel26/500-AI-Agents-Projects (+386 ★) curated collection of 500 AI agent use cases across industries, including finance. best resource for finding what's actually being built with agents right now. 10. hsliuping/TradingAgents-CN (+386 ★) Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. bookmark this and start today.
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wincy.eth@gusik4ever

the fastest growing GitHub repos in finance this week: 1. shiyu-coder/Kronos (+6.5K ★) first open-source foundation model for financial candlesticks. trained on 45+ global exchanges. predicts OHLCV candles as tokens — literally GPT for price charts. accepted at AAAI 2026. 2. virattt/ai-hedge-fund (+4.9K ★) a team of AI agents simulating Buffett, Munger, Ackman, Cathie Wood and others. each agent runs its own strategy, a Portfolio Manager makes the final call. one of the most viral finance repos right now. 3. TauricResearch/TradingAgents (+~3K ★) multi-agent LLM trading framework. fundamental analyst, sentiment analyst, technicals, risk manager — all working together. supports GPT-5.x, Gemini 3.x, Claude 4.x, Grok. built by UCLA/MIT researchers. 4. ZhuLinsen/daily_stock_analysis (+~2K ★) LLM stock analyzer for US, A-share and H-share markets. auto-builds a daily decision dashboard with exact entry/exit levels. pushes to WeChat/Telegram/Discord/Email via GitHub Actions. zero cost, zero server. 5. hsliuping/TradingAgents-CN (+~1.5K ★) Chinese fork of TradingAgents. fully localized for A-share markets (Shanghai/Shenzhen), Chinese data sources, and domestic LLMs. 5.1K forks — very active community. 6. OpenBB-finance/OpenBB (+~1K ★) open-source Bloomberg alternative. stocks, crypto, options, derivatives, fixed income — one platform. integrates with AI agents via MCP. 66K total stars and still climbing. 7. freqtrade/freqtrade (+~700 ★) free, open-source crypto trading bot in Python. supports all major exchanges, full backtesting, strategy optimization, Telegram control. release 2026.3 just dropped. 8. AI4Finance-Foundation/FinGPT (+~500 ★) open-source financial LLMs trained on real market data — news, filings, earnings. built for sentiment analysis and robo-advisors. models on HuggingFace, ready to deploy. 9. juspay/hyperswitch (+~400 ★) open-source payments router in Rust. one API to connect Stripe, Adyen, PayPal and 50+ providers. smart routing, high performance, built for fintech scale. 10. microsoft/qlib (+~350 ★) Microsoft's AI quant investment platform. covers the full pipeline: alpha seeking, backtesting, model training, live trading. supports ML/DL, RL, and auto-quant. bookmark this and start today.

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bryan
bryan@BryzonX·
Wow… so this is huge $MXL has locked up the only guaranteed 1.6T silicon supply for the next 18 months Rushmore 1.6T DSP is made using the 4nm node If a Hyperscaler wants 1.6T optics for a cluster they are building in Q1 27, and they haven't already secured a spot in the TSMC 2 year backlog, they literally cannot get chips from Broadcom or Marvell Especially from Broadcom as their chips require CoWoS which is even more backlogged This is a great indicator that the demand from hyperscalers is accelerating as they are essentially locking up MaxLinear’s capacity because it is the only guaranteed supply of 1.6T silicon available until late 2028 MXL is sitting on a pre paid, high yield production line at Samsung Management has stated they already secured $210M in long term purchase commitments specifically for wafer supply and assembly services They have also been aggressively building die bank inventory, in which inventory levels grew slightly this quarter You wouldn’t be hoarding supply if the demand wasn’t there This company is only guiding for $150M in optical revenue for 26’ Data center revenue will start ramping up in back half 26’ Management is essentially guiding as if the growth stops in July, which contradicts their own statement about "accelerating ramps through 2027” I’m starting to think this is a MAJOR sandbag from management 😳
Jukan@jukan05

Samsung Foundry's 4nm "Fully Booked" Through Next Year… Set for H2 Profitability Turnaround Samsung Electronics' foundry flagship 4nm line has entered "fully booked" status through next year. The result reflects the convergence of HBM4 volume ramp and orders from global Big Tech. Industry observers expect the chronically loss-making foundry division to fire its first signal of recovery as early as the second half of this year. According to the semiconductor industry on the 3rd, Samsung Electronics' 4nm foundry process has recently secured order volumes extending into next year's production. A semiconductor industry source who requested anonymity said, "The 4nm process has recently demonstrated better-than-expected stability among global customers, and demand is exploding," adding, "The line is running so tightly that it is effectively impossible to take additional orders through next year." The core driver of these orders is HBM4. Samsung Electronics produces the base die mounted in its HBM4 on the 4nm foundry process. As the company begins full-scale HBM4 supply to AI accelerator vendors such as NVIDIA and AMD, the utilization rate of the supporting 4nm foundry line has likewise reached its ceiling. Demand for the 4nm process is not confined to memory. Global fabless companies that previously relied on TSMC are now knocking on Samsung's door, factoring in supply-chain diversification and cost-effectiveness. NVIDIA and Google currently appear on the customer roster for Samsung's 4nm node. With improved yields and verified power efficiency (performance per watt), the "love calls" from Big Tech continue to come in. With high-value-added HBM4 and global Big Tech volumes filling the 4nm line, expectations for an earnings turnaround are also rising. The 4nm process has already completed its large-scale investment phase, easing the depreciation burden. The structure is one in which profitability rises sharply as utilization is maximized. A source at a Samsung Foundry partner company assessed, "Thanks to the stabilization of the 4nm process and the strong demand anchor of HBM4, Samsung Foundry is expected to swing to profit as early as the second half of this year, or at the latest in the first half of next year," adding, "After a prolonged slump, it has clearly entered a recovery phase." That said, the industry points to the new fab under construction in Taylor, Texas, as the biggest variable for future earnings. The substantial initial operating costs and labor expenses incurred during fab completion and ramp-up preparation could swing reported earnings depending on how they are accounted for on the books. Another semiconductor industry source said, "Since the Taylor fab currently being built sits on U.S. soil, whether the related performance is booked under the U.S. subsidiary (DSA) or consolidated into the domestic foundry results remains to be seen."

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Neon68
Neon68@Neon68·
@BryzonX You mean this is something big who noones see it right now? and its starts now? so something like "all in"?
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Ameet Rai
Ameet Rai@AmeetRai·
$ATOM been focusing on this after the Highest Volume Ever
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Cole Grinde
Cole Grinde@GrindeOptions·
We have some big names next week: 👇 $IREN $PLTR $AMD $MSTR $UBER $SHOP $PYPL $ARM $COHR $MCD
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Asymmetric Bets
Asymmetric Bets@UncleAlpha007·
$CGEH is the next $BE $GEV. No company is better positioned for $NVDA 800V architecture and no other company has the capacity now. Awesome substack write up by @Raunav410657 (might be a Monarch Investment professional). Deeply undervalued on current financial profile and if they get a 50MW+ DC customer, this has the makings 10x(+). x.com/rubicon59/stat…
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Pep Invest
Pep Invest@PepInvestStocks·
5 Stocks Totally @aleabitoreddit Taste 🔥 If you know me, you know I hunt for under-the-radar names with serious asymmetric upside. Here are the five I’d happily hold for the next few years - all flying way below most investors’ radar but sitting in massive secular tailwinds: $FIPP – Frontier IP / 2D Photonics Deep-tech investor with a 9.1% stake in 2D Photonics (graphene-based photonic chips). Just scored €211M EU-backed funding to solve AI data bottlenecks with ultra-high-speed, low-power optical I/O, game-changing for datacenters and HPC. $MRAM – Everspin Technologies The world’s leading maker of MRAM - ultra-reliable, radiation-hard, non-volatile memory that never forgets data. Perfect for data centers, automotive, aerospace and mission-critical systems. $FTI – Filtronic Specialist in high-performance RF, microwave and mmWave components & subsystems. Powers space, aerospace/defense, 5G/6G telecom and SATCOM infrastructure - flying under the radar but critical for next-gen comms. $AOSL – Alpha and Omega Semiconductor High-performance power semiconductors (MOSFETs, SiC, GaN, power ICs) quietly winning big in AI servers, data centers, EVs and industrial applications. $SVCO – Silvaco Group Essential TCAD, EDA software and silicon IP that chip designers and foundries use to simulate and build next-gen chips - from photonics and power devices to automotive and 5G/6G.
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Justin Spittler
Justin Spittler@JSpitTrades·
$AMBQ is a recent small-cap edge AI IPO One of my followers mentioned the name in my comment section. Haven't done any DD yet But it seems like the sort of thing that could work in current environment haha Will dig deeper into it this weekend
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Marty Chargin
Marty Chargin@MartyChargin·
$PENG ... in the right group...
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investing
investing@DollarCostAvg·
$IREN CALL FLOW INSANE: BIG BOYS KNOW SOMETHING. ✅
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Negligible Capital
Negligible Capital@negligible_cap·
*CEREBRAS SYSTEMS IS SAID TO TARGET UP TO $4 BILLION IN US IPO Chipmaker $CBRS is starting their formal IPO marketing on Monday – looking to raise $4B at a $40B valuation. OpenAI-backed chipmaker has been called the “Nvidia Killer” by the media. This should be a pretty crazy IPO
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@Minxx
@Minxx@minta0103·
5.1 美股标的观察 - AI 执行栈重估,Agentic AI 周期可以买什么? 1、Bandwidth (Ticker: $BAND): AI Voice Agent 的底层通信网络 (1)业务定位 Bandwidth 是企业语音、短信、号码管理和 emergency calling 的通信 API / 网络基础设施公司;随着 AI agent 一旦从“聊天”进入“打电话、发短信、做客服、做验证”的执行阶段,底层 voice rail 和 communication orchestration 会成为真实用量入口。 (2)核心要点 BAND 的盈利大头来自 cloud communications usage,尤其是企业语音、全球语音计划、短信和 emergency services。它不是纯 SaaS,而是“通信流量 + 企业集成 + Maestro 编排软件”的混合模式。公司已经实现正 adjusted EBITDA 和自由现金流,不再是纯烧钱小票;仍有债务和可转债结构,但近年通过回购债券和股票回购,财务风险较此前下降。 BAND 最大优点是 owned-operated voice network 和企业级语音可靠性,尤其适合 AI voice agent、contact center、金融/医疗等需要稳定通话和合规通信的场景。竞品里 TWLO 更强在应用层和开发者生态,BAND 更像底层网络和语音执行层。 (3)事件驱动 Q1 财报后公司上调 2026 收入和 adjusted EBITDA 指引,同时 Salesforce 选择 Bandwidth 作为 Agentforce Contact Center 的关键 voice / messaging infrastructure partner;IDC 也将其列为 Communications Engagement Platforms Leader。 这些事件把 BAND 从传统 CPaaS 小票重新推向 AI contact center / AI voice infrastructure 叙事。 (4)TAM 估算 BAND 的 TAM 应围绕企业 cloud voice、AI contact center、CPaaS voice / messaging、RCS、emergency calling 和通信编排软件估算。中期看,若 AI voice agent 在金融、医疗、客服、保险、酒店和企业 SaaS 中量产,可服务 TAM 约 180–250 亿美元。BAND 2026 收入指引约 9 亿美元,若依靠语音网络和 Maestro 获得 6–8% 有效份额,中期收入能力约 11–20 亿美元;按 2.5–4x sales,对应中期市值约 30–80 亿美元。 终局看,如果 AI voice 成为 agentic workflow 的默认执行层,底层 voice / messaging / orchestration 市场可扩至 450–650 亿美元。BAND 若在大型企业和 CCaaS/UCaaS 生态中维持 5–7% 份额,终局收入潜力约 23–45 亿美元;若 EBITDA margin 稳定在 20%+,理论终局市值可参考 80–180 亿美元。 (5)市场观点 @anitaoh8 指出(x.com/anitaoh8/statu…),Band 是 AI-driven cloud communications 的受益标的,原交易区间在 22–27 美元,但财报后单日上涨 52%,旧买卖点已失效。该观点的核心在于把 BAND 定义为 Agentforce / AI contact center 背后的底层通信 API 受益方。 (6)交易思考 约 13 亿美元市值,暴涨后不追,首选等回踩 $31–33 建头仓,若回到 $28–30 可加仓,若价格持续突破并伴随放量站稳 $38 可追涨。 三、Twilio (Ticker: $TWLO): Agentic AI 的客户通信平台 (1)业务定位 Twilio 是企业短信、语音、邮件、验证、客服和客户数据 API 平台;市场开始关注 TWLO,是因为 AI agent 要真正替企业触达用户、做客服、发通知和完成身份验证,必须调用 TWLO 这类多渠道 communication + customer data 执行层。 (2)核心要点 TWLO 的盈利大头来自 usage-based communications,包括 messaging、voice、email、verification,以及围绕 Segment 的客户数据和营销自动化。它的收入随企业数字交互量增长,AI 时代的变化是,Voice AI、RCS、智能客服和个性化触达,可能把传统通信 API 重新定价为 customer engagement infrastructure。 公司已经完成盈利拐点。2025 年实现 GAAP 盈利,并产生接近 10 亿美元自由现金流;资产负债表较强,现金和有价证券充足,短期债务压力较低。相较 BAND,TWLO 最大优点是规模、开发者生态、多渠道 API、Segment 数据层和平台化能力,更适合承接“AI agent 需要理解客户并跨渠道触达客户”的叙事。 (3)事件驱动 Q1 2026 是本轮重估核心催化,公司收入增长重新加速、GAAP operating income 明显改善、DBNER 提升,并上调全年收入增长和自由现金流指引。 财报后股价大涨,市场开始把 TWLO 从“被 AI 替代的软件公司”重新定价为“agentic AI customer engagement infrastructure”。 (4)TAM 估算 TWLO 的 TAM 应围绕企业 messaging / voice / email / verification、AI contact center、RCS、customer data platform、journey automation 和 AI voice agent infrastructure 估算。中期看,若企业将客服、营销、身份验证和交易通知自动化,TWLO 可服务 TAM 约 900–1200 亿美元。公司 2026 revenue run-rate 已接近 58 亿美元,若凭借平台规模、Segment 数据层和 AI voice / RCS 产品提升至 7–9% 有效份额,中期收入能力约 63–108 亿美元;按 4–6x sales,对应中期市值约 350–650 亿美元。 终局看,如果 AI agent 成为企业 customer engagement 的默认入口,通信、身份、客服、营销和数据编排可形成统一 programmable engagement layer,TWLO 可服务市场可扩至 1800–2500 亿美元。若 TWLO 维持 8–11% 有效份额,终局收入潜力约 144–275 亿美元;若自由现金流率维持 20%+,理论终局市值可参考 800–1800 亿美元。 (5)市场观点 @alphaticaio 指出(x.com/alphaticaio/st…),TWLO Q1 证明此前 bullish 判断兑现,重点不是单纯 revenue beat,而是 GAAP operating income、non-GAAP EPS、DBNER 和收入/毛利增长同步改善,说明 turnaround 进入财务兑现阶段。 @LivyResearch 指出(x.com/LivyResearch/s…),Q1 可能是 TWLO AI transformation 的拐点,AI-driven voice / messaging、FCF buyback、SBC 下降和 2027 operating income 目标能见度提升,共同支持进一步 re-rate。 (6)交易思考 约 270 亿美元市值,若回补到 $155–160 可加仓;Q2 财报前后核心看 AI Voice、DBNER 和 FCF 指引是否继续上修。 $BAND $TWLO
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Ren
Ren@Ren_aramb·
$BAND stock surged 46% yesterday. Bandwidth reported Q1 2026 revenue of $209M, up 20% YoY, beating the $201.6M consensus. EPS of $0.38 beat the $0.29 forecast by 31%. Management positioned the company as “the mission-critical foundation for the AI-driven enterprise,” with customers deploying agentic AI into live production workflows via their Maestro platform. This is making me consider paying for @citrini sub… just maybe…
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John Neil Conkle@jnconkle

where were the signs? hope you made a few bands.

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Earnings Whispers
Earnings Whispers@eWhispers·
#earnings for the week of May 4, 2026 earningswhispers.com/calendar $PLTR $AMD $SHOP $LITE $COHR $ANET $APP $AFRM $OXY $DVN $GILD $FN $MCK $DOCN $ALSN $CGNX $OUST $ADCT $VNOM $AEP $MPC $GCT $CVE $DVA $AEIS $ABNB $DD $WMB $BUD $EXPE $CF $PSTL $ICHR $DAVE $ADEA $PLOW $WBI $WPM $HSBC $HRTG $RPAY $LFUS $ECG $IPGP $SHC $MATX $NJR $ALGM $MAR $SARO
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Neon68
Neon68@Neon68·
$MXL is the bull!!
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