This trader open-sourced a tool that lets Claude watch TradingView charts live👇 It's not a trading terminal, just a GitHub repo (scripts config) It hooks into TradingView Desktop via Chrome DevTools, so Claude can see real-time candles, levels, and price action Stack: TradingView Desktop Node.js Claude Code It works: Claude reads a live 15‑min Dollar chart, maps supply/demand zones, draws them, and analyzes structure as the market moves No indicators, scanners, or pricey Discord signals Clone the repo, set watchlist/bias/risk in JSON, run one script Most retail traders still pay for alerts, this is an on-demand chart analyst with eyes on the screen The gap just shrank

This trader open-sourced a tool that lets Claude watch TradingView charts live👇 It's not a trading terminal, just a GitHub repo (scripts config) It hooks into TradingView Desktop via Chrome DevTools, so Claude can see real-time candles, levels, and price action Stack: TradingView Desktop Node.js Claude Code It works: Claude reads a live 15‑min Dollar chart, maps supply/demand zones, draws them, and analyzes structure as the market moves No indicators, scanners, or pricey Discord signals Clone the repo, set watchlist/bias/risk in JSON, run one script Most retail traders still pay for alerts, this is an on-demand chart analyst with eyes on the screen The gap just shrank

THIS CHINESE CREATOR QUIETLY BUILT THE ENTIRE PIPELINE! Claude Code for premarket gap scanning, custom strategy logic, backtesting automation, and Telegram alerts straight to her phone One workflow, zero manual screening, all verifiable Just 30 minutes of content, and most people scrolled past it She used AI to kill the grunt work: scrape premarket movers, filter volume/price action, write Pine Script, and backtest 30 tickers at once Results: 64% win rate, 12% return, max drawdown under 8%, not flashy, but repeatable While retail traders chase Discord tips, this runs at 8:30 AM daily: scans gaps, flags setups, and pings Telegram before the bell TradingView Remix AI Claude Code, wired like a personal quant desk Anyone learning this workflow now will outpace the 'AI can't trade' crowd

WHILE MOST TRADERS WERE SITTING IN FRONT OF SCREENS FOR 8 HOURS A DAY WATCHING CANDLES, she used Claude Code to build a trading bot that trades 5 instruments at once Nasdaq, Bitcoin, gold, oil, S&P 500, with automated risk management, execution, and daily phone summaries 122 trades in 4 weeks: $655, $532, $1,984, -$570, $759 Net positive. Hands-free Most people scrolled past a 45‑second explanation But a few caught it: a non‑developer used Claude Code to write, deploy, and run a multi‑asset trading bot What used to take a Python dev, a quant, and 6 months of debugging is now one conversation The ones who saw it are already building. The rest will still be drawing trendlines by hand, wondering where their edge went

how life feels when Claude finally does all the work for me👇

THIS GUY CONNECTED CLAUDE TO TRADINGVIEW VIA AN OPEN-SOURCE MCP SERVER! Not a Bloomberg terminal, just Claude Desktop next to a TradingView tab. Yet it's reading NQ E-mini charts live, switching timeframes, drawing ICT-style liquidity zones, and labeling higher-timeframe bias directly in the browser. The server is on GitHub (1.7k stars): 30 indicators, backtests for 6 strategies, multi-exchange support (Binance, KuCoin, Bybit), no API key. What looks like a weekend build replaces a typical retail stack: $200/month screeners, $50 indicator packs, and manual zone-drawing at 6am. With one prompt, Claude installed the server, configured it, connected to TradingView, and began annotating live charts autonomously, internal liquidity, external targets, HTF bias. No subscriptions. No screenshot copy-paste into ChatGPT. AI-native trading infrastructure isn't coming. It's already a repo away.

SOMEONE JUST TURNED CLAUDE DESKTOP INTO A PERSISTENT AI EMPLOYEE IN UNDER 60 SECONDS👇 It doesn't look like a complicated setup It looks like three markdown files in a folder But those three files fundamentally change how the AI operates: 1/ about-me. md - holds everything a new team member would need on day one: name, business, tools, audience, active projects 2/ writing-rules. md - researches anti-AI writing patterns and creates a ruleset so the output doesn't read like a chatbot wrote it 3/ memory. md - logs project progress across sessions so nothing gets lost between conversations Using Claude's Cowork tab, the entire system built itself. One prompt. Opus 4.8 did the rest That seems like overkill until you realize what most people are doing instead They open Claude. They re-explain who they are. They re-describe their project. They get generic output that sounds like every other AI response Then they do it again tomorrow This person eliminated all of that with a folder structure and a global instruction file that references it at the start of every session 3 files. Persistent memory. Anti-AI writing rules baked in. No context lost between sessions No re-introductions. No repeated prompts. No output that reads like it came from a template The irony is most Claude users are paying for Opus and still treating it like a stateless chatbot Meanwhile the ones who set up Cowork properly have an AI that already knows the project, the voice, and the next task before the conversation even starts Bookmark this, the gap between casual AI users and power users isn't the model. It's the setup

$3M NO OFFICE office NO 9 TO 5 He went from $200 to $3M running faceless YouTube channels, and he's filming this from what looks like Southeast Asia living his best life. He got featured in Men's Journal at 22 as the founder of "YouTube Automation", basically building channels that print revenue without ever showing your face on camera. And the wildest part? He's not gatekeeping. He's literally out here dropping the whole playbook on TikTok for free while most gurus charge $997 for a PDF. Whether you believe the $3M number or not, the model is real. Faceless channels are eating YouTube right now. - Compilation channels - AI narration - Stock footage Some of these are pulling mid six figures with zero personal brand. Most people won't start because it sounds too good. Follow me if you want the same results!

This trader just showed his late-night setup in an empty office!! Two monitors. One phone. Zero coworkers. That seems unhinged until you realize most institutional traders are clocking out at 5pm while this guy is reading price action at 3am when volatility actually hits. Energy drinks, supplements, water. The full degen survival kit lined up on the desk like ammo. No Bloomberg terminal. No compliance officer breathing down his neck. No monthly seat license bleeding him dry. Most people still think trading means a suit and a corner office. Meanwhile the real edge is a guy in a tank top staring at order flow while the rest of the market sleeps. You can trade like him here (automatically): t.me/poly_parlay_bot?start=C… Drop a like if you want me to teach you how to set up AI agents

62 million views. One video. She pulls up "Lucas and Friends" on YouTube and the numbers are stupid. 6.8M. 6.3M. 5.9M. 5.4M. Every single video clears a million views minimum. Then she opens ChatGPT and types: "Make me a 15 second vertical viral kids video prompt singing a baby boy to sleep." ChatGPT delivers a studio-grade production brief: Disney Jr/Pixar-style 9:16 in a cozy, magical nursery with warm lamplight and moonlight, singing stuffed animals, plus camera cues and audio notes (music box, toy voices, room tone). One prompt. One AI video tool. Content that competes with studios that have 40-person teams. The channel she's studying has videos hitting 62 million views on content a single person can now replicate from a MacBook with Premiere Pro in the dock. Kids don't care who made it. Parents don't check the credits. The algorithm doesn't audit your production pipeline. It only measures one thing: did the toddler keep watching.

U MUST SEE IT👇 This guy is running what looks like a fleet of AI agents from a desk that could pass for an accountant's office Two Dell monitors. A desk lamp. A bookshelf. No RGB. No studio lighting. No ring light The main screen is a dark dashboard with 8-12 active grid panels, each a separate instance, agents, workflows, money machines Running at once The second monitor has what looks like analytics or a management interface, tracking everything in real time He points at the screen the way a day trader points at tickers. Except these aren't stocks. These are autonomous processes doing work while he watches Most people are still figuring out how to write one good prompt This guy has a control room The gap between 'I use AI' and 'I run AI operations' is a desk with two monitors, and the willingness to scale what works

Google DeepMind CEO: "the biggest skills split humanity has ever seen will be between those who work with AI and those who refuse to" at Stanford, he spoke for nearly an hour and didn’t dodge the uncomfortable truths, things most CEOs won’t say on a public stage this is the kind of room people pay $250,000 just to get into if you want to keep up, AI literacy isn't optional anymore follow me if you want to beat 99 percent of people thanks to AI!