Unlocking Profit: AI Autonomous Trading on Poly Market
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Siraj Raval, the daring AI enthusiast, is on the brink of a high-stakes gamble - a $1,500 bet on a basketball game. Despite Chat GPT's confidence in a 72% chance of victory, Poly Market's odds paint a more cautious picture at 58%. Undeterred, Siraj plunges into the fray, showcasing the real-time drama of autonomous trading. His Poly Market AI agent dashboard tells a tale of staggering growth, turning $1,000 into a jaw-dropping $13,500 in just 72 hours, all without breaking a sweat.
Siraj's AI marvel operates tirelessly, scanning markets, sniffing out edges, and executing trades with robotic precision. He extols the virtues of Poly Market for AI automation - a 24/7 operation, a superior fee structure (0% beats 5-10% any day), and the allure of market inefficiencies ripe for the picking. The AI's strategy is a symphony of analysis, decision-making, and flawless execution, orchestrated by Python and Chat GPT's predictive prowess. It's a seamless dance of data and algorithms, culminating in automatic trades that would make any human trader green with envy.
The results speak volumes - a modest $1,000 blossoms into a princely $13,500 in a week, boasting a 35% return on investment and a 68% win rate across 64 trades. Siraj regales us with tales of the AI's most lucrative conquests, from NBA showdowns to NHL nail-biters, each a testament to the machine's analytical acumen. Despite a setback on a $1,500 bet, Siraj preaches the gospel of long-term edge and the capricious nature of trading. His magnanimity shines as he opens the doors to his AI kingdom, sharing the codebase for Polytrader on GitHub and beckoning fellow traders to the realm of autonomous income streams.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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