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A 19-year-old Japanese student built a trading bot in just 48 hours. His setup? Claude Code, a Binance API, and an iPad as a second monitor. Starting capital: $68. First-night profit: $6,732. Reported total profit: $750,000. No expensive trading setup. No massive team. Just code, market data, and a system built to spot opportunities faster than humans can. Here's the interesting part. The bot scans 50+ markets simultaneously and pulls live BTC data from Binance every second. While most traders are busy watching charts and guessing where prices will move next, this system looks for something different: price discrepancies between markets. When an arbitrage opportunity appears, the bot can act before the window closes. Here's how he built it: → Claude Code handles the trading logic → Binance API delivers real-time BTC price data → Multi-market monitoring helps identify price discrepancies → Automated execution targets arbitrage opportunities → The system is designed to run 24/7 without constant manual monitoring That's the basic idea. Not staring at charts all day. Not chasing every market move. Just a system searching for pricing gaps that may disappear within seconds. He reportedly went from $68 in starting capital to $750K in total profits. Of course, those numbers haven't been independently verified, and automated trading still comes with serious risks. But the concept is worth understanding. I'm sharing the Claude Code setup for free for the next 24 hours. Want to build something similar? Here's how to get it 👇 1️⃣ Comment "SetUp" 2️⃣ Like and RT this post 3️⃣ Follow @codewithimanshu so I can send you the setup via DM.

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 "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.

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.