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NeuPortal Quant Lab

Onderzoek naar AI-agents, backtesting en audits van marktvoorspellingen, en de architectuur van het platform.

Crypto en markten · 25

  1. Crypto en markten

    AI and MEV: What Machine Learning Can and Cannot See in the Mempool

    MEV is one of the few places where machine learning has a defensible job, because the task is simulation and classification rather than price prediction. But private order flow makes every public-data study a lower bound of unknown tightness.

    6 min lezen6 secties

  2. Crypto en markten

    AI and Stablecoins: What the Peg Actually Tells You

    Most depegs that matter are plumbing wearing the costume of solvency. What machine learning can genuinely do with stablecoin data, why depeg prediction breaks on rare events, and how supply works as a regime descriptor rather than a signal.

    6 min lezen6 secties

  3. Crypto en markten

    AI and Crypto Derivatives: Reading Funding Rates and Open Interest

    Funding rates and open interest describe how levered a market is and what that position costs to hold. They forecast the size of coming moves, not the direction - and the data is full of traps that quietly wreck studies. What AI can honestly extract.

    6 min lezen6 secties

  4. Crypto en markten

    AI and On-Chain Analysis: What the Blockchain Really Tells You

    On-chain data is the only complete dataset in markets - no survivorship bias, no vendor filter. It is also built on unvalidated address labels and a handful of independent cycles. What AI can honestly do with a blockchain, and what it cannot.

    7 min lezen7 secties

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