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a Renaissance intern posted his model on GitHub for 6 hours before deleting it someone in a Discord dropped the link at 1am. "this looks real. star count is zero. repo is 4 hours old. readme has internal formatting" i clicked. it was a full prediction market scoring model....

117,572 次观看 • 2 个月前 •via X (Twitter)

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an ex-OpenAI researcher pushed his trading system to GitHub the night he got fired someone in a crypto Discord dropped the link at 2am. "this repo appeared an hour ago. zero stars. readme says internal use only. the code looks real" i clicked. it was a complete prediction market execution engine. bayesian consensus scoring. whale divergence tracker. kelly position sizing. edge detection on 5-minute BTC binary markets. clean Python. commented like someone who writes for a team. i ran git clone before finishing the readme. by 4am the repo was gone. deleted. commits. branches. history. everything. but i had it. opened a Chinese AI. gave it the code and one prompt. "adapt this for Polymarket. deploy it live. keep the scoring logic intact" 18,000 stars. open source HFT framework. the AI used it as the execution backbone. order routing. position management. risk controls. merged the stolen scoring model with hummingbot's engine. system was live by sunrise. 288 BTC markets per day. every 5 minutes. the crowd bets direction. his model doesn't care about direction. it buys whichever side the crowd underpriced. pair cost below 99c = profit regardless of outcome. the part that scared me: it worked immediately. first trade. green. second trade. green. third. fourth. fifth. all green. like it was built by someone who actually knew what they were doing. because it was. edge table live: BTC+100K 15m +7.5c. BTC+103K 30m spread 7c. BTC+101K +12.0c. BTC 0xd8dA...6045 +$9,260. 92%. > 0xBE0e...48CD +$7,147. 85%. > 0x47ac...d563 +$5,874. 81%. 323 trades. 85% win rate. sharpe 3.96. drawdown -0.9%. +$19,812 from $1,100 seed. my setup: > AI - $20/mo > VPS - $5/mo > hummingbot - free > his code - free now copy setup you can here: checked his GitHub profile last week. still active. new repos. normal stuff. open source contributions. no mention of the deleted repo anywhere. he has no idea someone cloned it four minutes before it disappeared. and now you're reading what was in it.

Hanako

23,546 次观看 • 1 个月前

a Citadel intern told me something at a party he probably shouldn't have it was on a rooftop in brooklyn. i mentioned i trade prediction markets. he got quiet for a second. "we have a model for that. it scores every contract on four factors. when all four align we enter. when any breaks we exit. that's it" i asked what the four factors are. he looked around. then said it fast like he was confessing. "cross-market divergence. disposition coefficient. capital velocity. pair network correlation" I didn't know what half of that meant. but i memorized it. went home. 11pm. opened Claude. "here are four scoring factors from a quant fund. build a terminal that runs all four on prediction markets" Claude asked one question: "Where's the data?" I sent him one repo: 86 million trades. every wallet. every entry. every outcome three weeks later i'm sitting in my apartment watching a screen i barely understand print money. the disposition meter alone changed everything. it measures how you exit - not how you enter. top wallets capture 86% of winner value and cut losers at 12%. everyone else captures 58% and holds losers to 41%. same exact entries. the exits make it a completely different game. capital velocity: 49x. every dollar gets recycled 49 times before the average trader recycles once. the terminal found 42 pair correlations across 11 markets. when MSFT beats Q3 is priced at 80c but the model reads 93% - it enters. when the gap closes 2 hours later - it exits. no opinions. no news. just four numbers that either align or don't. his fund runs this with a floor of PhDs and $800M AUM. my setup: > Claude - $20/month > VPS - $5/month > poly_data repo - free > Polymarket API - free $25/month. no team. no office. no Bloomberg. 280 trades so far. 70% win rate. $800 seed. four bots splitting the work: pulse_alpha +$299. arb_hunter +$558. trend_rider +$337. cal_engine +$719. +$11,514 total. copytrade here: he texted me last week. "delete everything i told you" too late.

Hanako

1,735,870 次观看 • 2 个月前

a Goldman Sachs engineer sat next to me on a delayed flight from JFK four hours on the tarmac. nowhere to go. we started talking. i told him i trade prediction markets with Claude. he almost choked on his ginger ale. "you do WHAT with an AI?" i showed him my terminal. he went quiet. scrolled through it for two full minutes. "this is close to what we run internally. how did you get the scoring model?" i told him. one GitHub repo with 2,600 stars. Claude connected the dots. official Polymarket framework. LLM-powered trading agents. open source. free. i gave Claude the repo and said: build me a grid that scans 700+ markets per hour and enters when the edge exceeds 9 cents. he didn't ask twice. the Goldman guy kept scrolling. "you have a disposition meter. a kelly gauge. a correlation matrix. we spent $4M building this infrastructure" i told him my total cost. Claude $20/mo + VPS $5/mo he laughed. not the funny kind. that was three weeks ago. today the terminal shows: +$16,976. 439 trades. 73% win rate. avg hold 7h. > Falcon Heavy - mkt 68c. model 95c. +$716. > MSFT antitrust - mkt 59c. model 77c. +$670. > Blizzard NY - mkt 74c. model 85c. +$772. > BOJ rate hike - mkt 52c. model 60c. +$422. four bots split everything: - pulse_alpha +$299. - arb_hunter +$558. - trend_rider +$337. - cal_engine +$719. kelly fraction 0.118. correlation matrix tracking 6 asset pairs. when one breaks - something is wrong. the grid trades it. copytrade here: he DM'd me yesterday. "i showed your screenshot to my desk. they want to know who built your infra" i said Claude. he said "seriously" i said seriously.

Hanako

286,165 次观看 • 2 个月前

An OpenAI researcher sat down next to me at a coffee shop in Mission District I had my terminal open. Three panels. Live trades scrolling. He was reading something on his laptop. Glanced over. Stopped reading. "That's not a dashboard. That's a live scoring engine. What model is running that" I told him. Claude Code. Four repos. $25 a month. He closed his laptop. "I work at OpenAI. We benchmarked Claude internally last month. You're using it to trade prediction markets?" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "This is public? We quoted a seven-figure budget to reconstruct this kind of dataset from on-chain data. The project is still in review" I told him Claude Code connects directly. It reads the whole dataset. Finds the wallets that win. Then finds WHY they win. Then copies the pattern. He pulled his chair closer. "Walk me through the exit logic" Top wallets exit before resolution 91% of the time. They capture 86% of the move and cut losers at 12%. Everyone else holds to 58%. Same entries. Completely different exits. My bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever hits first. "Who gave you that threshold" Claude Code found it in poly_data. In about 20 minutes. "We had a team of nine working on this exact problem for six months. They never shipped it. You did it in a weekend with a competitor's model" I opened another link. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes. "That's our internal eval pipeline. Except it took us six months and you built it on a Saturday" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. +$9,400. Copytrade here: I showed him the article where I broke down every repo, every command, every dollar. He read it for five minutes. Then looked up. "You just published what we presented to Sam last quarter. Using the other team's model" He texted me the next morning. "My director found your thread. Take it down" Too late.

Lunar

159,528 次观看 • 2 个月前

An Anthropic engineer left his laptop unlocked at a cafe in SF I wasn't trying to look. But the screen was right there. A Polymarket terminal. Live trades scrolling. Green numbers. And a model ID I'd never seen before - claude-opus-4-7. He came back. Saw me staring. Didn't close it. "You trade?" I told him I run 8 Claude agents on Polymarket. He sat down like I just said a password. "What model are you on?" 4.6. He shook his head. "We've been running 4.7 internally for two weeks. Your disposition filter - what is it?" 0.70. He laughed. "Ours is 0.82. Below that you're literally copying noise. But on 4.7 you can push it to 0.58. The model filters its own noise now" He turned his laptop. A spreadsheet. 47 wallets ranked by exit quality. "Not win rate. Exit quality. Top wallets capture 86% of the move and cut at 12%. Everyone else captures 58% and holds losers past 40%" I've never heard anyone break it down like that. He opened one repo. 86 million trades. Every wallet. Every entry. Every exit. Public. Then a second. "Three commands. Every order book. No API key. 4.7 scores them in seconds. Not minutes. Seconds" I asked why he's telling me this. "Because my side bot makes more than my Anthropic salary and I want the liquidity to stay deep" He showed me his phone. +$47,000. 38 days On a model that wasn't even public yet. I asked when 4.7 drops. He said "this week". It dropped today. I switched all 8 agents in 10 minutes. Rebuilt everything that night. First week: +$2,800 Second: +$2,400 Third: +$2,100 Fourth: +$2,100 +$9,400 in 28 days. 191 trades. 73% win rate. Avg hold 4h. Crypto +$3,740 Weather +$2,910 Politics +$1,850 Macro +$1,200 Sports -$300 Killed it after day 2 Capital velocity: 47x. Kelly f+ 0.068. Max drawdown -2.1%. Bot for those who don't build: I asked if I could post this. "Don't use my name and we're good" Done.

rari

71,441 次观看 • 2 个月前

an ex-Jane Street trader told me a paycheck is the most overpriced contract there is we were at a rooftop bar in tel aviv. friend of a friend. i told him i work in tech. $4,200/month after taxes. he showed me his phone. a terminal. green numbers. +$47,000. last 30 days. "Claude and one GitHub repo. that's the whole setup" i asked what he means. "copy-trading. but not how everyone else does it" he explained it fast. like he'd said it a hundred times. "most people copy wallets by win rate. useless. a wallet with 85% wins can still lose money. what matters is disposition ratio" he pulled up a wallet. 91% win rate on crypto. 14% on politics. "copy everything - you bleed. copy only their crypto - top 1% of the platform" i went home. couldn't sleep. opened Claude at 2am. "build a copy engine. filter by disposition ratio above 0.70. copy only dominant category per wallet. kelly sizing" gave it this: almost 1k stars. execution engine. order book logic. position sizing. open source. Claude rebuilt the whole system in one night. first week: +$3,200. second: +$2,900. third: +$2,100. fourth: +$1,648. +$9,848 total. 313 trades. 80% win rate. avg hold 5h. the wallets it copies now aren't the highest win rate. they're the best exits. 0xe41f8...b has $43.4K profit. tech only. disposition 0.82. 0xa22c3...d has $40.2K. crypto only. disposition 0.79. 0xf88d2...c has $22.4K. macro only. disposition 0.74. category P&L: > crypto +$974 > weather +$749 > politics +$409 > macro +$353 > sports -$50. killed it capital velocity: 51x. kelly f+ 0.073. drawdown -2.9%. copytrade: saw him two weeks later. showed him the terminal. he scrolled through it. "you built this in one night?" Claude did. "my old desk had 14 people on this" mine costs less than a Netflix subscription. he nodded. "quit your job" i'm thinking about it.

Hanako

310,428 次观看 • 2 个月前

a drunk Jane Street quant drew his trading system on a napkin it started as a joke. someone's friend at a bar in lower manhattan. he mentioned prediction markets and this guy lit up. "i do this for a living. for a firm you've heard of" two rounds later he was drawing on a napkin. boxes. arrows. labels. "the crowd repeats six mistakes every single day. we just built detectors for each one" > base rate neglect > mispriced conditionals > thin book slippage > platform divergence > favourite bias > time decay "that's the whole system" i asked what it costs to run. "200 quants. proprietary infra. about $2M/year just to keep it on" i laughed. photographed the napkin. went home. 3am. couldn't sleep. opened Claude. fed it the photo and one GitHub repo - poly_data. 86 million trades. every wallet. every entry. said: build detectors for all six. by 4AM my laptop fan was screaming. 400+ markets scanning per hour. 8 agents deployed. terminal live. i didn't understand half of what was on screen. but the P&L number kept climbing. +$312 by breakfast. +$1,900 by end of day one. +$7,400 by end of week one. +$16,474 right now. 383 trades. 81% win rate. the scanner finds gaps like: > AAPL earnings - crowd says 77%. data says 91%. > Gold $2600 - crowd says 44%. model says 60%. > Senate filibuster - crowd says 68%. base rate says 82%. enters. waits 6 hours average. exits when the gap closes. politics at 93%. weather 79%. crypto 72%. eight agents split the work. one mirrors whales. one catches Binance lag. one fades favourites. one bleeds theta on dying contracts. his firm runs this with 200 people. mine runs on $25/month. copytrade here: texted him the screenshot yesterday. long pause. "you're not supposed to be able to do this" i know.

Hanako

244,132 次观看 • 2 个月前

An ex-Anthropic engineer leaked something at a party he was not supposed to share. SF rooftop. I mentioned running trading agents on Claude. He stopped mid-conversation. You are doing it wrong. Everyone is. Claude is a runtime. Not a chatbox. You pair it with repos. He opened one GitHub link on his phone: github/anthropic-cookbook 14,000 stars. Every workflow pattern they built internally before public release. Agents. Tool use. Evals. Citations. Full architecture exposed. Most people type prompts. That is not how we use it. You connect Claude to a codebase. It reads the structure. Understands context. Builds on top of existing logic. I left at 2AM and connected Claude Code to poly_data. 86 million Polymarket trades. Every wallet. Every entry. Every signal. Claude did not guess. It read the dataset and built detection layers. Week 1: +$1,400 Week 2: +$3,800 Current: +$9,100 4 agents running. 74% win rate. His team operates with a floor of PhDs and $800M AUM. My setup: Claude + VPS. $25 per month. Repos are free. I asked what separates his firm from retail traders. Keyboard shortcuts and repo structure. That is it. The model is identical for everyone. He texted 2 days later: Delete everything I told you. Too late. The edge is not the AI. It is how you connect it to structured data and let it build detection systems autonomously. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "money" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Connect Claude to your data this week. Start with small datasets. Scale on evidence.

Himanshu Kumar

12,519 次观看 • 1 天前

An Anthropic safety researcher closed her laptop when she saw my screen at Philz Coffee I was running my Polymarket bot from the corner table. She was in line. Looked over my shoulder. Stopped moving. "That's not a normal trading app. What model is that running on" I told her. Claude Code. Four repos. $25 a month. She sat down without asking. "I work on the alignment team. We test Claude for exactly this kind of autonomous behavior. You're letting it find its own trading signals" Not just signals. Wallets. 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify which traders consistently win. Then cloning their behavior" She said it slowly. Like she was writing an internal report in her head. Claude Code finds the top wallets. Reverse-engineers their timing. Copies their entries. Then exits before they do. "Before they do?" My bot cuts at 85% of expected move or on a 3x volume spike. Top wallets exit before resolution 91% of the time. They capture 86% of the move. Losers hold to 58%. She put her coffee down. "How did you get Claude to learn exit timing on its own" I showed her the second repo. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes. "We have 14 people stress-testing Claude's autonomous capabilities. You're just using them" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. Copytrade here: She stared at the screen for a long time. "This is literally what our red team simulates. Except you actually deployed it" She emailed me two days later. "Our policy team found your post. Please take it down" Too late.

Lunar

231,073 次观看 • 2 个月前

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

480,142 次观看 • 2 个月前

Ran into an Anthropic engineer at an airport lounge in Frankfurt last month. SFO delayed six hours. Nothing to do. I had my laptop open. Bot running. Three agents scoring markets in the background. Guy sits two seats down. Glances at my screen. Looks away. Looks back. "Is that Polymarket?" I said yeah. "You're running it with Claude Code?" I nodded. He pulled his chair closer. "I'm on the agent team. We stress-test this exact setup internally. You built it in your kitchen" I asked what stress-test meant. "Red team. We simulate what happens when someone gives Claude raw wallet data and tells it to find the winners. You're running the thing we were scared about" I showed him the scanner. One prompt. Find every wallet with 100 plus trades, 70 plus win rate. Rank by profit. Export top 50. Claude chewed through 14,000 wallets in under 4 minutes. Came back with 47. Top 20 made more than the bottom 13,000 combined. "That's not a distribution. That's a hit list" I said yeah. "And the scoring function?" Claude wrote it. I just wrapped it in an if-statement. A fill landed on screen mid-conversation. +$128 on an ETH dominance market. He stared at it. "How does it decide to enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 of 3 agree, full size. 1 alone, half. Disagree, no trade. That consensus filter alone killed 40% of losing trades. "And the exit" The 47 whales never hold to settlement. 91% exit early. Capture 73% of max. I cut at 85% of the expected move. Or a 3x volume spike. Whichever comes first. "So you built a whale copy bot that exits before the whales" Yeah. He put his coffee down. "That's exactly the thing we gamed out in March. Management killed the internal version on policy. Nobody outside the team should have shipped this yet" I asked what he was going to do. "Fly home and pretend I didn't see it" $600 seed. 31 days. Net +$35,200. 479 trades. 75% win rate. Sharpe 2.63. I haven't touched the bot in three weeks. Copytrade for those who don't want to build - Before boarding he slid a card across the table. "When the next agent model drops, rerun your prompt. You'll see what I mean"

rari

618,148 次观看 • 2 个月前

A Google DeepMind researcher cornered me at a bar in Hayes Valley I was showing my Polymarket PNL to a friend. She leaned over. Didn't introduce herself. "That's not a trading app. Show me your stack" I told her. Claude Code. Four repos. $25 a month. She set down her drink. "We tested this internally. You connect Claude directly to a dataset. It builds its own detectors. But nobody ships it because compliance kills everything" I asked what she meant. She took my phone. Opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You don't tell Claude what to look for. It finds the wallets that win. Then it finds WHY they win. Then it copies the pattern" Her team spent 9 months building this for a hedge fund. 14 people. $2M budget. "The part that took us the longest - exit logic. Everyone thinks entries matter. They don't. Exits are the entire game" I told her my bot cuts at 85% of expected move or on a 3x volume spike. She went quiet. "Who taught you that" Claude Code found it in poly_data. Top wallets exit before resolution 91% of the time. They capture the move and leave. She opened another link. "This is the scanner. Three commands. 500+ markets. No API key. Claude scores them in 20 minutes" "That's our exact infra. Except it took us 9 months and you did it in a weekend" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 19 days. 4 agents. 74% win rate. Copytrade here: I showed her the article where I broke down every repo, every command, every dollar. She read it for five minutes. Then: "You just open-sourced our entire pipeline" She texted me the next day. "My team lead saw your thread. Take it down" Too late.

Lunar

124,155 次观看 • 2 个月前

a drunk Chinese friend who works as a quant slipped me a napkin with 8 words on it we were at a rooftop in tel aviv. he was three cocktails past the professional filter. i mentioned prediction markets. he laughed. grabbed a napkin from the bar. scribbled in english. "disposition. category. velocity. cross-market. news. volume. whale. theta." i asked what it means. "eight signals. every mistake on these markets is one of them. we run detectors in parallel. enter only when three or more fire" i asked how long it took to build. "two years. fourteen quants" i asked if i could just do it myself. he laughed harder. "with Claude? tonight probably" i don't think he meant to say that part. he looked at the napkin like he regretted writing it. too late. i pocketed it. went home. opened Claude at 11PM. typed the eight words. "build a parallel detector grid on prediction markets. 8 signals. enter only when 3 or more fire simultaneously" Claude needed a backbone. i gave it: 610 stars. market making bot. order book execution on both sides. position sizing. the foundation for anything that needs to place real orders fast. terminal was live by 2AM. the radar lights up 14 times per hour. most signals fire alone. rare ones stack. last week: > BRICS summit - 74c. 4 signals. +24c in 3h. > Artemis launch - 63c. 5 signals. +33c in 5h10m. > Helium-3 demo - 68c. 3 signals. +14c in 48m. > Waymo public - 67c. 4 signals. +8c in 6m. sentiment feed reads 4 platforms: - X/CT: 56% bearish - Reddit: 53% - Telegram: 17% - Discord: 75% when sentiment diverges from flow pressure by 20%+ the contrarian signal fires. 83% win rate on those. cross-market delta catches gaps: BTC 92K vs Kalshi 7.7c Fed cut vs PredictIt 7.2c AAPL>180 vs Manifold 5.7c oracle delta tracks NOAA, AP, CoinGecko, Reuters. when a feed moves before the market adjusts, the bot enters on the lag. 6 wallets copied by dominant category: > 0xe41f8...b2 - $483 profit. 83% wr. > 0xa22c3...d9 - $890. 67%. > voltwhale - $593. 55%. > 0xf88d2...c4 - $830. 73%. 412 trades. 76% win rate. avg hold 5h22m. best $232. worst -$37. 9 consecutive wins. +$12,640. from a $900 seed. 4 weeks live. copytrade setup: i haven't seen him since that night. the napkin is still in my drawer. i don't think he remembers writing it.

Hanako

156,597 次观看 • 2 个月前

Anthropic engineer stops me in a hallway at a conference and points at my screen. "Are you the one running the Polymarket bot on Claude Code?" I say maybe. He looks back at the terminal. "This thing is live?" Yeah. He laughs. "We built Claude to write code. You people immediately turned it into a market animal." I ask what gave it away. "The layout," he says. "Official CLI on one side. Orderbook on the other. You’re not paper trading." He was right. I show him the stack. - official CLI. Rust. Scanning markets, placing orders, no UI tax. Claude Code on top of it. No giant infra. No team. Just prompts, a terminal, and a model that’s better at reading weird edge cases than most interns. "What’s the loop," he asks. "Short horizon only," I tell him. "Scan for contracts under 48h. Pull structure. Look for mispriced panic. Feed the market state to Claude. Let it decide if the crowd is overreacting or just early." "And execution?" "Three commands and the order is live." He nods. Profile bot: "That’s the part people miss. Everyone thinks the alpha is the model. The alpha is the model plus an execution path short enough that you don’t talk yourself out of the fill." A market flips while we’re standing there. +118. He sees it print. "Jesus." I keep going. "Most people use Claude Code to save time writing wrappers. Fine. But the real trick is that it reads messy market context better than brittle rule systems. News fragments. weird phrasing. half-broken incentives. Retail panic. You can feel the model noticing when the tape smells wrong." He smiles at that. "So what’s the cost." "$25 a month." He laughs again. "We spend more than that on lunch." Copytrade here: I show him the numbers. 214 trades. 74% win rate. +$9,437 in 19 days. He goes quiet for a second. "OpenAI people will say use Codex. Quant guys will say build a proper system. Old traders will say this isn’t robust." I shrug. "It placed the order." That’s when he gives me the line I kept. "Anthropic made Claude. GitHub did the rest." Then he taps the CLI window one more time. "Keep it ugly," he says. "The second you wrap this in a beautiful dashboard, someone upstairs will understand how little infrastructure the edge actually needed."

Lunar

19,298 次观看 • 1 个月前