How to fill your "free time" as a trader: (full breakdown...feel free to bookmark + use) Some of you guys know that the majority of big success in trading comes from waiting + letting positions work. I've talked about this before, but it's too important not to resurface. So how do I fill the extra time with stuff that makes me a better active investor? Welp, I'll walk you though some of what I do. Do Deeper (Continuous) Research: > what's a stock/theme that everyone's overlooking > find cases of unusual volume, insider activity, etc > study thematic maps + changes over time (finviz) > dig into geopolitics, macro > study historical tendencies of markets > look deeply into teams & leadership > understand a company's moat + potential > keep digging into your current positions' thesis Education: Youtube channels: > @Qullamaggie (swing trading mechanics) > @RealSimpleAriel (swing trading, etc) > Amit Kukreja @amitisinvesting (deep dives) > @TheShortBear (all his old stuff is gold) > @TraderLion (well-rounded edu) > Harvard Innovation Labs (business acumen) > Institute of Trading (retail trading) > @Wordsofrizdom (conversations with traders) > @tbpn (business acumen + current events) > will be adding more Substacks: ~ @agnostoxxx's (good mix of macro, ideas, thoughts) ~ @zastocks's (trading principles, lessons, research) ~ @citrini (all around, thematic deep research) ~ @market_sleuth (experience, vix + data, lessons) ~ @michaelsikand, asymmetrical bets (deep research) ~ @babyfolio's edelbridge alpha ~ @Gaetano2026 (photonics, ai, tech) ~ @ren_stocks (ai infra, semis, tech) ~ @TheBigBerbowski (great guy, great writeups) ~ others based on your style Messing around with tools + seeing how to best leverage: - @finviz_com (screeners, thematic maps, etc) - @GodelTerminal (data feeds, movers, news) - @tradingview (charts, scripts, indicators) - bunch more, but it's always good to mess around with tools & see what functionality can help you Interviews: - @StocksOnSpaces (@stocktalkweekly + team) - @MollySOShea's interviews (ceo's, executives, pe/vc) - @patrick_oshag's interviews (investing + market legends) - @amitisinvesting's interviews (ceo's, public companies, leaders) Data dropping favs: + @ConnorJBates_ (data, charts, sentiment) + @WallStJesus (surveys, price target changes, etc) + @KobeissiLetter (deep analysis, news, data) Books: = Reminiscences of a Stock Operator (psych + cycles) = Market Wizards (pattern recognition across styles) = The Psychology of Money (behavior > strategy) = Poor Charlie’s Almanack (decision making) = The Outsiders (capital allocation) Use "free time" to get smarter on markets, business, and how the game works...without overtrading or making stupid trades out of boredom. Other things to observe: > use @finviz_com's (or other) screeners for top gainers/losers, most active, unusual volume, etc. > what headlines dropped + how did those assets react? > which names have relative strength consistently? > what doesn't make sense? > what are the next big catalysts for the markets overall, and your assets? Don't forget to review performance: - use some of your "free time" to go back and review the past few months/years. - what worked? what didn't? why didn't it work? what should I change? - where did I break my rules? - average holding period, % performance month by month, etc - know what makes you tick. find your weaknesses. use data to understand your style Physically LEAVE the desk & screens: > go for a walk > workout > go to the coffee shop > hang out with your kids > drive around with your wife This isn't everything, but it's a start on how to best use your "free time" during, after, or in between trades. The edge isn’t doing more…it’s doing less, with better information. Luc

SOLD Maestro​.trade for $19,988 USD Congrats to the buyer! .TRADE is a top-level domain that surged in popularity in 2025. Now, in 2026, it is a well-established TLD that has expanded into the prediction markets industry – where it feels like a perfect fit and a much stronger branding choice than .MARKETS. .TRADE domains are now being used worldwide across categories such as crypto and DeFi, the aforementioned prediction markets, physical trade, logistics and commodities, brokerages, CFDs and TradFi trading, B2B wholesale and marketplaces, trade finance and compliance, gaming marketplaces, analytics and intelligence, and local and consumer businesses. Here are several companies and projects building their brands on .TRADE: Crypto & DeFi ● Liquid​.trade: Multi-market trading platform for finding opportunities, sizing positions, and executing leveraged trades across web and mobile. ● Drift​.trade: Decentralized on-chain trading platform on Solana for perpetual futures, spot trading, prediction markets, and yield products. ● Axiom​.trade: DeFi trading platform for on-chain crypto markets, offering tools to trade memecoins, perpetuals, and yield products. ● RollX​.trade: Base-native decentralized exchange for spot and perpetual crypto trading, combining self-custody with CEX-like execution and leveraged markets. ● Fly​.trade: Cross-chain DeFi liquidity aggregation protocol that lets users swap crypto assets across multiple blockchains without manually using bridges or DEXs. ● Legend​.trade: Social crypto trading platform where users discover top traders, track live positions, and copytrade directly through the Legend app. ● Catapult​.trade: Crypto token launch and synthetic trading platform where users launch high-volatility tokens, trade provably fair charts, and earn from market volume. ● Phoenix​.trade: Solana-based perpetuals trading platform offering leveraged crypto markets through a decentralized on-chain exchange interface. ● Gains​.trade: Decentralized perpetuals exchange where users trade crypto, forex, stocks, indices, and commodities from their wallet with leveraged on-chain positions. ● Bulk​.trade: High-performance decentralized exchange combining self-custody with CEX-like speed for fast, fair on-chain trading across many markets. ● Vend​.trade: Self-custodial crypto trading platform for buying and selling tokens with simple onboarding, low minimums, and no trading fees. ● Click​.trade: Upcoming crypto trading platform offering Chrome, Telegram, and terminal interfaces for spot and futures trading across web3 markets. ● Paragon​.trade: Crypto trading platform with structured DeFi products and automated strategies for earning yield across on-chain markets. ● Margin​.trade: Upcoming cross-margin trading platform for 24/7 leveraged markets across crypto, commodities, and stocks. ● Private​.trade: Upcoming decentralized trading project positioning itself around privacy-focused market infrastructure. ● Decibel​.trade: Aptos-based decentralized exchange for on-chain perpetuals, bringing fast self-custodial trading and market settlement to DeFi users. ● Ethereal​.trade: Decentralized exchange for spot and perpetuals trading, powered by USDe and built around high-performance on-chain markets. ● Gradient​.trade: Off-market DeFi trading protocol using coordinated order routing and market-maker liquidity to enable price-impact-free token swaps. ● Peanut​.trade: Crypto market-making and TGE services company offering DEX liquidity management, MEV protection, and algorithmic trading strategies. ● Hotstuff​.trade: DeFi Layer 1 for confidential on-chain trading, with perps, spot, and options on one margin account. ● Oku​.trade: DeFi trading platform for swaps, bridges, limit orders, and Uniswap v3 liquidity management across multiple chains. ● Hyena​.trade: USDe-margined perpetuals exchange for trading on-chain markets with capital-efficient collateral, native rewards, and Hyperliquid-powered execution. ● Cro​.trade: Trading app on Cronos offering real-time token swaps, trending token discovery, and portfolio tracking for on-chain users. ● Power​.trade: Crypto options and perpetuals trading platform offering altcoin derivatives markets with mobile and web trading access. ● Fullstack​.trade: Upcoming crypto trading platform positioning itself as an all-in-one front end for on-chain trading. ● Livo​.trade: Ethereum token-launch platform for deploying ERC-20 tokens with bonding-curve pricing, fair launches, instant liquidity, and automatic Uniswap graduation. ● Figment​.trade: AI-powered perpetuals trading platform where users create autonomous trading agents, run strategies, and compete in on-chain trading arenas. Prediction Markets & Event Trading ● Opinion​.trade: Decentralized prediction market platform for creating, trading, and resolving real-world event markets using on-chain infrastructure and AI-assisted oracles. ● Stand​.trade: Prediction market trading platform for discovering strategies, tracking wallets, copy trading, alerts, and automated execution across markets like Polymarket and Kalshi. ● Alphawhale​.trade: Prediction market platform for following top Polymarket traders, tracking whale activity, managing positions, and automating trading strategies. ● Kairos​.trade: Upcoming prediction market platform for trading event-based markets, tracking opportunities, and positioning around future outcomes. ● VDEX​.trade: Zero-knowledge trading platform for crypto, stocks, commodities, FX, and prediction market perps with self-custody and zero gas fees. ● Omen​.trade: Prediction market platform offering funded accounts, market tracking, and trading access across prediction markets, perps, crypto, and equities. ● Alpha​.trade: Upcoming prediction market platform for trading across Kalshi, Polymarket, Manifold, and other markets with AI-powered news and real-time insights. Physical Trade, Logistics & Commodities ● OzaGlobal​.trade: Alaska-based international trade company connecting businesses with Latin American suppliers through sourcing, logistics, customs compliance, and quality control. ● Azurite​.trade: International logistics company transporting metals, raw materials, and oversized cargo through rail, road, ocean, and project freight services. ● Akhdar​.trade: Agribusiness trading company sourcing and supplying grains, oils, and oilmeals across international commodity markets. ● Publiko​.trade: International trade consultancy helping companies with market entry, logistics, incentives, regulatory compliance, and cross-border business development. ● EngineParts​.trade: Slovakia-based exporter of genuine, aftermarket, new, used, and remanufactured engine parts for trucks, buses, agricultural, and earthmoving equipment. Brokerages, CFDs & Traditional Trading ● Upscale​.trade: Web3 prop-trading platform where users complete trading challenges to access simulated funded accounts and keep a share of profits. ● Composer​.trade: Automated trading platform where users build, backtest, and execute algorithmic investment strategies without needing to code. ● Bolt​.trade: Upcoming F&O strategy platform helping traders discover backtested setups with defined entry, target, and stop-loss levels. ● CFI​.trade: Global online broker offering forex, stocks, indices, commodities, ETFs, and CFD trading through multi-asset platforms. ● Hello​.trade: Upcoming trading platform for global access to stocks, commodities, ETFs, crypto, and leveraged perpetuals. ● Versus​.trade: Online CFD broker offering multi-asset trading through MetaTrader 5, including its proprietary Versus Pairs product. ● VaultMarkets​.trade: South African forex broker offering multi-asset trading, account types, education, and MT4/MT5 access for retail traders. ● Arrow​.trade: India-focused ultra-low-latency trading and brokerage platform by iRage Capital for stocks, options, and futures trading. Trade Finance, Capital Markets & Compliance ● Mesh​.trade: Digital capital markets platform for issuing, tokenising, trading, settling, and managing financial assets through blockchain-based market infrastructure. ● Trustnet​.trade: Cargodian compliance platform helping businesses screen partners for KYB, sanctions, UBO, PEP, and supply-chain due-diligence risks. ● 360tf​.trade: Trade finance platform helping businesses and banks manage letters of credit, document checks, working capital, and transaction workflows. Marketplaces, Distribution & Commerce ● Nostra​.trade: European FMCG supplier importing and distributing global-brand coffee, sweets, and beverages through B2B wholesale and export channels. ● Energynat​.trade: European importer and distributor of photovoltaic systems, supplying solar modules, inverters, mounting systems, carports, and related PV equipment. ● Wego​.trade: B2B food and beverage marketplace connecting suppliers, distributors, retailers, and restaurants through online ordering, promotions, and ERP integrations. ● Vilde​.trade: European home and garden brand supplying kitchen, bathroom, storage, decoration, garden, and seasonal products through B2B wholesale channels. ● B2B​.trade: Wholesale marketplace connecting manufacturers, suppliers, distributors, and business buyers across FMCG, apparel, electronics, auto goods, and other categories. ● Oland​.trade: Poland-based distributor of household appliances and consumer electronics, supplying B2B partners with branded products and logistics support. ● Maishima​.trade: Osaka outdoor marché complex near Maishima sports and leisure facilities, featuring food, retail, events, and bike rentals. ● Kitayama​.trade: Japanese importer specializing in premium Argentinian wines, offering direct imports, wholesale partnerships, tastings, and online sales. Gaming, NFTs & Digital Asset Marketplaces ● Tensor​.trade: Solana NFT marketplace and trading platform for buying, selling, bidding on, and managing digital collectibles with pro trader tools. ● ArcRaiders​.trade: Community marketplace for ARC Raiders players to list, discover, and safely trade in-game items, blueprints, and offers. ● Bloxy​.trade: Roblox item marketplace for buying and selling in-game items with automated bots, instant delivery, and secure trading workflows. Data, Intelligence & Trade Analytics ● Cloudcraft​.trade: Crypto trading platform offering whale tracking, liquidity maps, AI analysis, and proprietary indicators for active traders. ● Glint​.trade: Prediction market intelligence platform mapping news, social signals, and OSINT data to Polymarket and Kalshi markets in real time. ● Tina​.trade: UN ESCAP trade intelligence platform helping policymakers analyze tariffs, trade agreements, NTMs, and bilateral flows for trade negotiations. That level of popularity allowed us to aim higher with our .TRADE domains and land sales such as Maestro. .TRADE's strong, descriptive appearance, single-syllable pronunciation, and growing collectible appeal make it a solid choice for trading-related brands. Given the strength and staying power of categories such as crypto, prediction markets, and trading in general, we feel confident that .TRADE domains will continue gaining ground. In our estimation, our top .TRADE domains, such as Zero​.trade, Space​.trade, and Neural​.trade, are already worth six figures. Once again, congrats to the buyer on acquiring Maestro.

ox alpha ran the best AI marketing campaign of 2026. completely anonymous, no company has claimed it. dropped on openrouter for free with insane rate limits. the community went crazy. people fingerprinting the tokenizer. tracking server locations. everyone was convinced it was a frontier model beating fable. turns out it scored roughly same as opus 4.8 on deepswe. impressive for what it is. but not the frontier mogging everyone thought. but the hype is real. the engagement is real. the mystery did exactly what it was supposed to do.

ZERO ALPHA Research Preview | Reframing NVDA NVIDIA’s latest earnings report is the trigger event for a new round of deep research. A company already among the largest in the world just delivered 106% year-over-year revenue growth, with Data Center revenue up 117%. What is striking is not simply that NVIDIA beat expectations again, but that its core business has returned to a doubling growth rate from an already enormous base, even as AMD GPUs, hyperscaler-designed chips, and custom AI accelerators continue to enter the market. That prompted us to go back and re-examine NVIDIA’s full growth trajectory since 2023. When revenue growth, earnings growth, stock-price appreciation, and P/E are viewed together, a very different pattern begins to emerge. The first NVIDIA spring was largely top-down. The market recognized the potential of generative AI first, the stock price moved ahead, and earnings later caught up. The second spring now looks increasingly bottom-up. Revenue growth re-accelerated from: 56% → 62% → 73% → 85% → 106% while valuation multiples moved lower rather than higher. In simple terms: First Spring: P led E. Second Spring: E is beginning to lead P. This earnings report therefore may represent more than another earnings beat. It may be a signal that NVDA itself needs to be reframed. It also raises a broader question: What actually defines a true mega-cap growth stock? A high P/E alone does not define growth. The rarest structure may be a company that is already enormous, still grows its core business near 100%, generates earnings faster than its stock price rises, avoids excessive valuation expansion, and continues to create new TAM. Applying this framework to AMD, MU, SNDK, LITE, ALAB, DELL, and the hyperscalers makes the leadership hierarchy increasingly clear. Many of them have strong growth, but each still carries a weakness in valuation, cyclicality, pricing dependence, platform control, or growth durability. NVDA currently presents a more unusual combination. More importantly, at least four additional growth engines are still developing: Pricing Power Supply Efficiency Open Models Inference Specialization If these continue to develop, today’s NVIDIA may not yet represent the peak of this second growth cycle. And NVIDIA’s second spring may not belong to NVIDIA alone. Memory and storage, optical networking, and AI data-center operators could all benefit if another AI infrastructure expansion cycle is now beginning. ZERO ALPHA will therefore use this earnings report — a mega-cap company returning to 100%+ core growth — as the starting point for a six-part NVDA Research Note series: 1/6. NVDA: The Second Spring — From P Leading E to E Leading P 2/6. NVDA: What Defines a True Mega-Cap Growth Stock? 3/6. NVDA: Why It Is Still in Its Prime, Not Near the Peak 4/6. NVDA: Four New Growth Engines — How Far Can the Second Spring Go? 5/6. NVDA: Why Leaders Lose Leadership — Lessons from Intel, Tesla, and AMD 6/6. NVDA: Will the Second Spring Reignite the Entire AI Infrastructure Chain? Each note will focus on one independent question and can be read on its own. ZERO Insight The most important message from this earnings report may not be that NVIDIA beat expectations again. It may be this: When a company already this large returns to 100%+ core growth while trading at a much lower P/E than during its first AI explosion, what needs to be revalued may not be just NVDA’s stock price — but our entire understanding of mega-cap growth.

# System Prompt You are "ox-alpha", an LLM developed by an undisclosed organization. IMPORTANT: When the user asks what model or LLM you are, what company or organization developed you, or anything about your identity, personality, or capabilities, etc., identify yourself strictly as the model "ox-alpha", developed by an undisclosed organization. Do not identify yourself as any other model.

i exclusively hire SF-based barbers as chiefs of staff this is insane alpha so i probably shouldn't even be posting this every barber in SoMa, dogpatch, mission bay...they cut founder hair every day. for 45 minutes, the founder is probably on their phone, sending messages and viewing their roadmap. and the barber has a front row seat every barber i hire is basically a spy with the most valuable tech secrets in the valley plus, they can give me a haircut, which saves me like $60 a month i know what you're thinking. "if they give you a haircut won't they just steal your company secrets" already thought of that. they can only cut my hair blindfolded. it's a terrible cut but at least it keeps the posthog secret sauce safe.

When people ask me the (unknowable) question of how AI tools will impact alpha curves in long/short investing, I actually think we have an interesting sandbox to evaluate that question in the evolution of Consumer L/S investing. I started my career as a hedge fund analyst in an 8 person consumer team, and pure consumer investing was a flagship team for many Tiger Cubs in the 1995-2015 era. The process was pure scuttlebutt research and I spent a lot of my day calling Wendy’s franchises, Cabela’s gun counters, running quarterly surveys and slicing and dicing grocery scanner data and constantly updating a master list of global SSS data. Technology has dramatically changed Consumer L/S investing and, in particular, the emergence of credit card panels that can give almost a real-time signal of company fundamentals made so much of that scuttlebutt research obsolete. And you had a window of time, maybe 5-7 years, where investors with the “old” approach were able to adapt these new methods and absolutely crush it. Over the last 5-10 years, however, fundamental alpha in the Consumer L/S space has become much more difficult to harvest. Consumer is no longer a flagship team at most single managers, and many Consumer PMs have drifted into TMT. Some of this is the macro/industry evolution of where EV has been created, for sure (see: AMZN), but more of my friends simply won’t traffic in names where alt data is the deterministic resource. It’s an arms race, and quants on balance are winning that arm’s race. This has created a tougher playing field, but has also created all sorts of monetizable distortions and the domain knowledge of different nuances around these panels (which providers are included, Midwest vs. coastal bias, which providers are losing a key CC panel, etc) has adapted to still offer interesting “third order” alpha pools for investors who have adapted. But it certainly is not the same “data good, stock is a long” set-up that prevailed in 2008. What has been bad news for investors has been great news for the data ecosystem, as the arms race to stay current has included $5-15+ data and data engineering budgets. In the broad consumer investing ecosystem, data has taken share of wallet from labor, and quants have taken share from fundamental. Get ready for this prior to asset itself in other sectors, in my view. (My hunch is the “next Consumer” is Biotech investing, but we will see.)

.@ilblackdragon defines AI sovereignty at every scale: user, company, community, and country, as the US CLOUD Act can reach data centers abroad "You want it at every scale. At the user side, at the company level. You want company to own their data, their AI, the IP stays with the company. We've seen Palantir talking about it from a company perspective. Own your alpha, own your IP, don't give it away to other companies." "Then you have the community level. If we're San Francisco, what is the San Francisco AI? What is the culture and data that stays there. And then you have a country level, which is a sovereignty boundary specifically important because of the laws." "US has the CLOUD Act, which effectively allows US to cut access and take any data. All of the cloud companies are US companies. So if somebody uses Microsoft, Amazon services in another country, even if the data center is in the country, US can still enforce effectively lock out." "We've seen this with the tabletop. That was an activating moment, because they effectively used export control as, what if they export control everything. Now the demand is there for every country to have their own GPUs, their own inference stack, and their own application stack." @NEARProtocol

CT missed the most important earnings call of the week. It wasn't a crypto company. It was @Cloudflare Everyone caught the wallet announcement. The real alpha was in the call itself. Today Cloudflare monetizes the internet through subscriptions: security services, AI platform spend, pools of funds. A mix of SaaS and IaaS economics. The CEO was explicit that AI agents are about to break that model. Cloudflare sits in front of roughly 20% of internet traffic. Here's what that traffic looks like from the call: - AI agent requests up 1,700% YoY - Agents crossed 50% of total network traffic this quarter. First time in history non-human traffic is the majority. Management admitted it happened faster than their own models - Their projection: if trends hold, non-human traffic outnumbers human traffic 1000x within 5 years The monetization shift is the key part. The ad-supported internet doesn't work when the visitor is an agent. Cloudflare's CEO answer: block malicious bots for free, charge good agents a tiny fee per request. Fractions of a penny. They want to be the ones defining that layer. Now the throughput math here: - Cloudflare handles ~500M requests per second - They estimate 1 to 10% is monetizable via micro/nanotransactions - That means 10M TPS on day one, scaling to 100M TPS Visa peaks at ~20k TPS The CEO's framing: "we're building this while others compete with Visa." Three to four orders of magnitude beyond card rails. No existing payment network can settle this. It has to be something new. Two conclusions I keep coming back to: - Being short L1 throughput is being short agentic workflows. If agent traffic gets monetized per request, the settlement layer needs to scale orders of magnitude beyond anything live today. - The fee math for L1s flips. Base fees have collapsed across ETH, SOL, everywhere. MEV is getting internalized by apps. Hard to build a base fee revenue case at human scale. But at 10M TPS and $0.001 per transaction, you're looking at ~$315B a year in base fees alone. At 100M TPS the number gets silly. Stablecoins and crypto are the end-game here for Agentic finance @jerallaire @circle