@crptAtlas: A researcher turned $100,000 into $182,761 using Neural Networks and Hidden Markov Models on real markets 83% return. P…
Summary
A researcher claims to have achieved an 83% return on real markets using Neural Networks and Hidden Markov Models, publishing both the theory and an implementation guide for Polymarket.
Similar Articles
@51bodila: Jane Street Head of Technology showed the code that generates $13B profit - using it, you can build your own hedge fund…
Jane Street's Head of Technology presents code that purportedly generates $13B profit, offering a template to build your own AI-powered hedge fund.
@DeRonin_: Jane Street pays $750k/year for quants who can run neural networks across thousands of market signals This 1-hour Corne…
A Cornell lecture by Marcos Lopez de Prado shares the quant trading framework using neural networks that Jane Street quants use, with potential earnings of $750k/year.
Looking at the data behind prediction markets
An analysis of prediction markets like Polymarket and Kalshi, examining whether their massive trading volume actually produces valuable forecasting information or merely serves as gambling, referencing historical academic support and current data.
@ZayvenKnox: An Anthropic engineer paid for my espresso at Sightglass when he saw my screen I was running my Polymarket bot from the…
A developer created a profitable prediction market bot using Anthropic's Claude AI, which analyzes wallets and executes trades with a 74% win rate, gaining attention from an Anthropic engineer.
@qkl2058: I did something pretty insane last night: I unleashed Claude and gave it full control of my computer to trade autonomously on Polymarket. Starting capital: just $200. And guess what? In just 10 hours, it turned $200 into $3,000 — a 15x return.
A user claims to have given Claude AI full control of their computer to trade autonomously on the prediction market platform Polymarket, turning $200 into $3,000 in 10 hours — a 15x return — by copying the strategies of high-win-rate traders.