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@51bodila • 15,661 subscribers

AI - researcher & builder | writing about AI on Wall Street | @minara

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JPMorgan revealed repo they use to train thier Quants to build trading & research systems JPMorgan's Quants should learn Python for this - you just send it to any LLM or AI agent get your own trading Quant: 1. open LLM or AI agent and send it: 2. say: "set this up and redo every notebook on NVDA with real data" 3. it prices an options straddle for your stock, by formula and Monte Carlo 4. it scores company's bankruptcy risk with Altman Z'' and gives an implied credit rating 5. it vuilds the 3D vol surface and yield curve charts 6. then say: "turn all of this into one live dashboard for my stock" that's it. then read below how to run your own AI hedge fund:

JPMorgan revealed repo they use to train thier Quants to build trading & research systems JPMorgan's Quants should learn Python for this - you just send it to any LLM or AI agent get your own trading Quant: 1. open LLM or AI agent and send it: 2. say: "set this up and redo every notebook on NVDA with real data" 3. it prices an options straddle for your stock, by formula and Monte Carlo 4. it scores company's bankruptcy risk with Altman Z'' and gives an implied credit rating 5. it vuilds the 3D vol surface and yield curve charts 6. then say: "turn all of this into one live dashboard for my stock" that's it. then read below how to run your own AI hedge fund:

16,437 次观看

Math quant bot on Polymarket made over $457K PnL in 20 days - he turned $7,387 → $457k profit it uses Markov Chains to find "mispriced" windows on BTC and ETH up/down markets - made 14,200+ predictions, with ~$22,850 avg. daily profit by exploiting gaps humans miss at 3AM strategy: a 1h BTC/ETH up/down market is a binary contract it pays $1 if event happens → $0 if not Markov Chains give you the probability of the next market state based on: > current state of the market (up / down / flat) > transition matrix built from live price data > diagonal persistence value - how stable the current state is formula: p̂ − market_price ≥ 0.05 AND P(j*, j*) ≥ 0.87 bot profile: - read article below to understand how Markov Chains are used to extract edge from prediction markets

Math quant bot on Polymarket made over $457K PnL in 20 days - he turned $7,387 → $457k profit it uses Markov Chains to find "mispriced" windows on BTC and ETH up/down markets - made 14,200+ predictions, with ~$22,850 avg. daily profit by exploiting gaps humans miss at 3AM strategy: a 1h BTC/ETH up/down market is a binary contract it pays $1 if event happens → $0 if not Markov Chains give you the probability of the next market state based on: > current state of the market (up / down / flat) > transition matrix built from live price data > diagonal persistence value - how stable the current state is formula: p̂ − market_price ≥ 0.05 AND P(j*, j*) ≥ 0.87 bot profile: - read article below to understand how Markov Chains are used to extract edge from prediction markets

68,520 次观看

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