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i built a 2 agent system using OpenClaw and Monte Carlo simulation > one agent predicts gold price > second agent bets on polymarket > second agent takes profit $1,400 → $17,900 in 72 hours saw a market on polymarket: "Will gold hit $3,000 by March 15?" price was...

149,038 Aufrufe • vor 3 Monaten •via X (Twitter)

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My mom called me crying, she thought I was gambling away my savings on Polymarket. I sent her one screenshot. She went quiet for 40 seconds. $41,200. From $200. In 27 days. "...is that real?" Not luck. Not sports betting. Google told me the answers before the market heard them. Every time a topic spikes on Google Trends - Fed decision, Trump indictment, government shutdown - Polymarket prices lag 4 to 12 hours. Millions searching. Market hasn't moved. That delay is the entire edge. One Claude agent. One job: watch Google Trends for spikes above 300% tied to open Polymarket markets. Spike hits, market hasn't moved - buy. Profile Claude agent: Day 1: "government shutdown" spiked 840% at 2AM. Polymarket still at 23¢. Agent bought. By noon - 47¢. $200 → $610 Day 4: "rate cut" exploded 6 hours before the Fed announcement. 3 markets under 15¢. All resolved above 60¢. $610 → $2,400 I use for copytrade bots Gluon: Day 9: CEO resignation leaked on Reddit. Google Trends spiked at 11PM. Agent was in at 11:02PM. By morning - 5x. $2,400 → $7,800 Day 14: Pattern - every time "inflation data" spikes 500%+ on a Tuesday night, CPI markets are mispriced by 12-18¢. Three Tuesdays in a row. Agent caught all three. $7,800 → $16,500 Day 21: "ceasefire" spiked in 4 languages simultaneously. Conflict markets at 11¢. Agent loaded 8 positions. $16,500 → $29,400 Day 27: Three spikes between midnight and 4AM - when American traders sleep but the world doesn't. 19 trades. 16 green. $29,400 → $41,200 Only buys below 20¢. Sells above model price. Max $3 per position. 4 billion people google the answer. The market just hasn't heard it yet. 2,700+ trades. 84% win rate. $200 → $41,200. My mom still doesn't fully get what I do. But she stopped crying. The agent made $380 while she was reading the screenshot.

Lunar

12,275 Aufrufe • vor 3 Monaten

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment 'AGENT' 2. Like and retweet this 3. Follow Marry Evan so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

Marry Evan

18,773 Aufrufe • vor 17 Tagen

THIS FREE 1-HOUR MIT LECTURE ON MONTE CARLO SIMULATION WILL TEACH YOU MORE ABOUT PRINTING CONSISTENT RETURNS THAN MOST QUANTS LEARN IN THEIR ENTIRE CAREER. Not a trading course. Not a finance influencer selling signals. MIT. Free. The mathematical foundation behind how the smartest money in the world actually operates. Here is why Monte Carlo Simulation is the most underrated concept in quantitative finance. Every trade has a range of possible outcomes. Most people look at the expected outcome and make a decision. The quants printing consistent returns look at 10,000 possible outcomes and make a decision. That is the entire edge. Monte Carlo runs thousands of randomized simulations of how a position could play out based on historical volatility, market conditions, and statistical distributions. You do not ask will this trade work. You ask across 10,000 versions of reality what is the probability-weighted expected outcome. If the math says yes across enough simulations you take the trade. If it does not you pass. Every time. No emotion. No gut feeling. Pure math. This is how Renaissance Technologies returned 66% annually for 30 years. This is how quant funds identify edges invisible to human intuition. This is the lecture that teaches you the same framework. In 2026 you do not need a team of PhDs to run Monte Carlo simulations. Claude Code builds the entire backtesting framework in a weekend. The knowledge gap between you and a top quant fund has never been smaller. One hour. Free. From MIT. This is the most productive thing you will do today. Bookmark this before you do anything else. Follow CyrilXBT for more resources that build real financial edge.

CyrilXBT

13,001 Aufrufe • vor 1 Monat

My girlfriend said "you've been staring at that Polymarket screen for 6 hours" I turned the laptop around She went quiet That screen had $4,100 more than when I started $150 → $38,700 in 31 days 4 agents running on a $400 laptop, no breaks, no sleep: Agent-01 WEATHER: Pulls NOAA forecast grids every 10 minutes Finds cities where federal models say 92% but Polymarket says 50% Buys at 8¢, exits at 50¢+ Agent-02 BTC 5min/15min: Tracks Binance spread vs Polymarket CLOB Enters when the gap hits 3%+ Closes before resolution Agent-03 POLITICS: Scrapes polling data and sentiment shifts Flags contracts lagging behind real movement Enters before the crowd reprices Agent-04 SPORTS: Reads injury reports and line movement Finds mispriced live markets Executes via EIP-712 on Polygon The edge is embarrassingly simple NOAA has a $6.5 billion supercomputer Retail prices weather contracts off vibes and weather apps That's not a fair fight That's federal science vs guessing Chicago - NOAA says 92% chance of rain Polymarket contract sitting at 8¢ 6x return on public data 28 trades across 6 cities in one night 2,900+ trades 91% win rate $38,700 from $150 Agent-01: NOAA grid update received. 3 new mispricings detected. executing... Agent-02: BTC spread widened to 4.1%. entering 15min YES at 42¢ Agent-03: sentiment shift on midterm contract. buying NO at 11¢ Agent-04: injury report confirmed. line moving. entering at 23¢ She still doesn't understand what's on the screen She doesn't need to

rari

166,173 Aufrufe • vor 3 Monaten