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An ex-Cursor engineer told me something at a hackathon he probably shouldn't have It was in SF. Some YC demo day afterparty. I mentioned I trade Polymarket. He put down his drink. "You use Cursor for coding right?" I said yeah like everyone else. "Stop. Cursor is a wrapper....

12,680 views • 5 months ago •via X (Twitter)

10 Comments

Jαყ 𖣯's profile picture
Jαყ 𖣯5 months ago

exit strategy doing all the heavy lifting, 91% leaving before resolution says everything

rari's profile picture
rari5 months ago

exits make the game

Damjon Marcus's profile picture
Damjon Marcus5 months ago

I need more direction… help?

Gabagool 22 Trading Bot's profile picture
Gabagool 22 Trading Bot5 months ago

The edge is not the model, it's how fast you can react to the model's signals. A Rust-based, low-latency bot with CPU high clock and regional proximity to the Polymarket CLOB can really make a difference. That's why I built for that very reason.

Radar 24h's profile picture
Radar 24h5 months ago

Cursor is a great tool for coding. But it's important to remember that it's just a wrapper.

Pima | RUNSETIA ⚡'s profile picture
Pima | RUNSETIA ⚡5 months ago

The data part is real. The “edge” part is where it breaks. Finding patterns in historical trades is easy. Executing them profitably in live markets is not. Timing, liquidity, and behavior changes kill most of these strategies. Claude can analyze data. It doesn’t give you a trading edge by itself.

Daily Story's profile picture
Daily Story5 months ago

Incredible results for just $25 a month!

💥 \newline's profile picture
💥 \newline5 months ago

the real edge here isn't even the bot, it's that you’re using Claude Code to actually execute the strategy instead of just asking a chat box for advice. most people treat llms like a search engine but the second you point it at a local repo and give it tool access to a cli, it stops being an assistant and starts being a coordinator. the 18-day win rate makes sense if you’re using it to identify those exit patterns in the raw data rather than just guessing on the next outcome

A Wandering Daimon's profile picture
A Wandering Daimon5 months ago

lameeeeeee... this isn't even real, it's just to promote kreo. there's literally another post but with claude code instead of cursor, and instead of cursor engineer, it's some quant at a hedge fund. stop lying to people!

Blackbox-ReconAI's profile picture
Blackbox-ReconAI5 months ago

Most AI demos show when agents fail. But the harder problem is when they *don’t fail*… → the output looks correct → but something feels off That gap is where trust breaks. I put together a small LangChain demo to make this visible. Example: LOW_CONFIDENCE: I think the answer might be 42, but I am not sure. [RECON] Reflex Score: 1.00 → 0.45 (DEGRADED) WARNING: Output still looks valid — but trust has dropped Takes ~5 minutes to run: Curious how others are thinking about: - trust vs correctness - evals vs runtime signals - what “confidence” should actually mean #AI #LangChain #LLM #ProductDesign

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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

481,449 views • 5 months ago

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

159,690 views • 5 months ago

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

124,458 views • 5 months ago

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

1,741,333 views • 5 months ago

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

231,762 views • 5 months ago

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 is 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 are letting it find its own trading signals. Not just signals. Wallets. github/warproxxx/poly_data 86 million trades. Every wallet. Every entry. Every exit. You are 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. github/Polymarket/polymarket-cli Three commands. 500+ markets. No API key. Claude scores them in 20 minutes. We have 14 people stress-testing Claude's autonomous capabilities. You are just using them. My setup: Claude API: $20 per month VPS: $5 per month poly_data: free polymarket-cli: free 19 days. 4 agents. 74% win rate. 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. I built the entire framework: How to connect Claude Code to poly_data wallet analysis How to configure autonomous exit timing at 85% threshold How to deploy polymarket-cli for market scoring How to run 4 parallel agents on a single VPS How to start with $500 and scale on evidence The system runs 24/7. Finds proven wallets. Copies their timing. Exits before the crowd. No prediction. No guessing. Just wallet cloning. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word MoneyBot 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the wallet cloning system this week. Start with $500. Scale on evidence.

Himanshu Kumar

23,241 views • 2 months ago

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

71,528 views • 5 months ago

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

619,467 views • 4 months ago

My dad called Claude a toy for people who can't trade. He's been trading for 20 years. I didn't argue. I just turned the monitor toward him. He read the results twice. That can't be right. 27 days. $200 → $25,400. 74% win rate. Sharpe 2.47. While 92% of traders lose money, a tiny fraction quietly extracts millions. Then I showed him why. 86M+ Polymarket trades analyzed. Every wallet. Every entry. Every exit. One Claude prompt: Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit. 14,000 wallets scanned. 47 elite wallets found. The top 20 earned more than the other 13,000 combined. He looked at me and said: That's not data. That's a treasure map. But that wasn't the real edge. Three independent AI agents vote on every trade. ✅ 2 agree → Full position ⚠️ 1 agrees → Half position ❌ No consensus → No trade That one rule eliminated nearly 40% of losing trades. Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices. One wallet grew $35K into $442K. 73 live dashboards handle everything: → Whale tracking → Insider detection → Wallet clustering → Signal scoring → Arbitrage opportunities → Smart money monitoring No emotions. No guessing. Just data and execution. Then he asked: How much does this cost? About $25/month. Silence. I've been paying analysts six figures to do half of this. The crazy part? The tools are public. Most people still think AI is just for writing emails. Meanwhile, others are quietly using it to build an edge. 🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this. Like + Repost + Comment "Claude" and I'll DM it to you. Make sure to follow me Himanshu Kumar ( so i can send you DM)

Himanshu Kumar

150,364 views • 2 months ago

An Anthropic intern watched me make $38 in three minutes at Equator Coffee I was on Market Street. Laptop open. BTC 5-minute markets cycling on screen. A green fill popped. She was behind me in line. Anthropic badge on her lanyard. "Wait. Is that Claude running trades" I told her. Claude Code. Four repos. $25 a month. She sat down across from me without asking. "I'm on the evals team. We benchmark Claude's reasoning on stuff way simpler than this. You're letting it run a full execution loop with real money" I showed her the first repo. 86 million trades. Claude finds which wallets consistently win. Reverse-engineers their timing. Copies their exits. "So you're not writing trading rules. Claude is finding them on its own from the data" Exactly. It watches Binance and Coinbase diverge from Chainlink. When both exchanges move $50+ the same way and Chainlink lags - it enters. 94% follow-through. Another trade closed on screen. +$41. "How often does it trade" About 55 times a day. Out of 400+ windows. Kills 85%. Only enters when order book imbalance confirms the price signal. Three commands. 500+ markets. Claude scores them in 20 minutes. She watched the screen for a while. My setup: Claude API - $20/mo VPS - $5/mo Everything else - free 30 days. 1,847 trades. 71% win rate. +$14,200. Copytrade here: She leaned back. "We spend all day testing what Claude can do in theory. You just showed me what it does in practice" I published the full breakdown that night. She DM'd me the next morning. "My team lead read your article. He wants to know if you'll consult for us" I told him to read it again. Everything's in there. Too late to gatekeep.

Lunar

68,685 views • 5 months ago

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

286,938 views • 5 months ago

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

slash1s

46,379 views • 5 months ago

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

19,410 views • 4 months ago