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Chinese engineers built a Claude bot that turned $1.18 into $3.3M. Not manual trading. Not signals. A fully automated system called PHANTOM X. Wallet:@sovereign2013" target="_blank" rel="nofollow noopener">polymarket.com/@sovereign2013 Stats: $1.18 → $3,300,000 37,063 trades 71% win rate Biggest hit: $180 K I’m copying it here:t.me/KreoPolyBot?st… How it works: Tracks thousands of markets across Polymarket + Kalshi Finds mispricing and enters instantly 3 engines: Pairs arbitrage YES 0.62 + NO 0.41 = edge Sentiment AI scans X + news before repricing Volatility timing enters before spikes, exits on movement Why sports markets work: Market moves slowly Spreads everywhere Constant inefficiencies That’s where millions came from. Why humans lose: You can’t watch 50 markets You hesitate You sleep The bot doesn’t. Runs 24/7 No emotions No delays By the time you click, the edge is gone. Manual trading is dying. Automation already won. Want the setup? Comment “GUIDE” Like + RT Follow I’ll send the system in 24h.

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Jim Simons turned $100 into $130 billion using math. He just gave the entire playbook in a free 1-hour MIT lecture. You've been picking stocks based on Reddit and vibes. He returned 66% per year for 30 years using equations. This is the most valuable hour you'll spend this week. Save the video. Watch it tonight. Build the bot this weekend. Follow @codewithimanshu for more high-signal content that turns lectures into income. ↓ Below what nobody is telling you about this lecture. Everything Jim Simons taught Renaissance Technologies in the 1980s is now buildable in a weekend with Claude Code. Pattern recognition across thousands of assets. Signal detection in noise. Automated execution. Risk management at scale. In 1988, this required a team of 50 PhDs and millions in infrastructure. In 2026, one person with Claude + a laptop can build a working version in 7 days. The knowledge gap between you and a Renaissance trader is now smaller than it has ever been in history. Follow @codewithimanshu for daily breakdowns of the AI tools that turn this knowledge into income. ↓ What this lecture actually teaches you to build. Simons walks through the core principles that printed $130 billion: > Find statistical edges that are invisible to humans > Trade only when the math says yes, never on emotion > Run hundreds of small bets simultaneously, not one big bet > Cut losses ruthlessly when signals weaken > Compound relentlessly across decades These aren't trading tips. These are the foundational principles of every AI trading bot worth running. Watch the lecture. Take notes. Then turn it into a system. Follow @codewithimanshu for the exact Claude prompts that turn quant theory into deployed bots. ↓ Your weekend playbook to turn this into profits. Friday night: watch the Simons lecture. Take notes on every signal he mentions. Saturday: open Claude Code. Build a backtesting framework using historical price data. Test 3-5 of his core signal ideas. Sunday: paper trade your best signals on Polymarket, Toobit, or Alpaca. Validate before risking real capital. Monday: deploy a small position. $100. $500. Whatever you can lose without flinching. Compound. Iterate. Scale. That's how a Simons-grade trading system gets built in 2026. Not over 30 years. Over one weekend. Follow @codewithimanshu for the exact templates and prompts to build each piece. ↓ This is the best time in history to build wealth with AI trading. Jim Simons needed: > A team of 50 PhDs > $25 million in compute > 10 years of infrastructure > Custom data feeds nobody else had You need: > Claude Code > A laptop > 7 days of focus > $20/month in API costs Same math. Same principles. Same edge. Different barrier to entry. People who watch this lecture and build with the knowledge will compound for the next decade. People who save it for later, will still be picking stocks based on vibes in 2027. Save the video. Watch it tonight. Build the bot this weekend. Follow @codewithimanshu for more high-signal content that turns lectures into income.