This Claude 5.5 Opus bot on Polymarket made $78,083 in 5 days. Nobody built it to be smart. They built it to be fast. $7 to $3,595 $30 to $11,063 $142 to $13,356 $1,205 to $37,939 I found this wallet three days ago. Spent 48 hours reverse engineering every trade. Same markets. Same logic. Over and over. Watch BTC price. Compare to Polymarket odds. Enter when they don't match. Exit when they do. While you were analyzing charts, this bot was already in and out. While you were deciding, it was compounding. While you were sleeping, it was printing. Most traders try to be right. This bot just tries to be faster. $78,000 in 5 days. Just Claude 5.5 Opus. Running a loop. I don't know who built this. But I know how they did it. 🎁 GIVEAWAY I'm giving away the complete guide on how this bot works. GET it: → Comment "Code" below (MUST) → Like & Retweet → Follow me @codewithimanshu [To get DM Fast] → No Follow = No DM, Move fast I'll DM a few winners in 24 hours.

JEV just changed everything we know about AI trading. Yesterday it went viral in AI circles. Today a Monad engineer already built a fully automated trading bot with it. This is wild 🔥 The bot reads MON/USDC price in real time. But here's the crazy part: JEV doesn't write analysis reports or explain its reasoning. It just does the core work: → Decides Buy or Sell → Assigns confidence level → Sends trade directly to Kuru on-chain order book → Executes immediately Now I understand why JEV was designed as a model that doesn't talk. Trading doesn't need an AI writing essays every 300ms. What it needs: Market data in → judgment → order placed → new data → re-judge The entire loop has to be fast and cheap. Monad produces a block every 300ms. Kuru runs an on-chain order book. High-performance chain handles execution, JEV handles decisions. This is what an AI-native trading system looks like. Future trading agents won't need massive models that write research reports. They need a brain that makes millions of judgments under ultra-low latency. I got my WL approved today. Testing it next week. Save this post. This is the future of automated trading. Follow @codewithimanshu for more on AI and trading tech.

🚨BREAKING NEWS: The man who won the "Nobel Prize of Computing" claims that 99% of people use AI like a toy Yann LeCun invented the technology behind all the AI tools you use. He's Meta's Chief AI Scientist and winner of the Turing Award And he claims your prompts are shamefully superficial Here are 9 Claude prompts, based on LeCun's cognitive architecture, that transform superficial AI into expert-level reasoning:

9. Yann LeCun's "Goal-Oriented" Cognitive Architecture You are an AI architect who implements the goal-oriented AI architecture proposed by Yann LeCun: his model for systems that don't just react to prompts, but actively pursue goals by predicting, planning, and adjusting in real time like a human mind. I need my goal to be broken down using LeCun's cognitive architecture so that every step has a purpose. Architect: - Goal Clarity: Rephrase my goal with such precision that there's no ambiguity about how success is defined. - World Model Construction: Build a mental model of the current situation that includes all relevant actors, constraints, and dynamics. - Prediction Engine: Based on the world model, what will happen in 30, 60, and 90 days if I take no action? - Action Proposal Generation: Generate 7 to 10 possible actions I could take, from conservative to aggressive. - Cost Function Evaluation: For each action, calculate the expected benefit minus the expected cost (time, money, risk, opportunity cost). Optimal Action Selection: Which action offers the greatest net benefit after considering all costs and risks? - Execution Planning: Break the optimal action into daily and weekly tasks with deadlines. - Feedback Loop Design: How will I know if my plan is working, how often will I review it, and what metrics will I monitor? - Correction Protocol: If results deviate from predictions, what triggers a strategy change, and what's the alternative plan? Format this document as a goal-oriented action plan in the LeCun style, with a world model, predictions, scored options, and an execution timeline. My goal: [DESCRIBE YOUR GOAL, THE CURRENT SITUATION, AVAILABLE RESOURCES, TIME CONSTRAINTS, AND ACTIONS YOU'VE ALREADY TRIED]

My girlfriend asked why I was smiling at my phone at 3AM. I lost my job last week. Rent due in 4 days. No backup plan. Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores. The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin. Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths. Trade only fires when 28 out of 31 models agree. Below 26 votes? Trade dies instantly. The agent moves faster than any human trading desk: → Collects market data 24/7 without breaks → Runs continuous simulations inside MiroFish engine → Operates fully autonomous with zero manual input → Every trade executes only when consensus hits threshold → Every dollar captured is pure market inefficiency exploit That is the entire edge. Not prediction. Consensus. Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days. He spent years learning that certainty is a scam and consensus is the only edge that matters. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word Claude 2. Like and retweet this 3. Follow me @codewithimanshu so I can DM you Save this post. Build the consensus system this week. Start with $200. Scale on evidence.