Sample content
Research and insights
Original explainers and notes written for this concept. Each one names its type, links its primary sources and is labelled when it is sample content rather than a published study.
7 results
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Why a beautiful backtest should worry you
Try enough settings on one history and something will look brilliant by luck. Demo notes on overfitting, using the Quant Lab’s random seed as the control.
Quant financeAI & agentsSample content
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Agents on a leash: bounded autonomy in financial workflows
Research note on designing AI agents for finance around permissions, confidence floors and human approval, mapped to the NIST AI RMF and the EU AI Act.
AI & agentsFinancial systemsSample content
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DeFi and CeFi: the counterparty risk moves, it does not vanish
Commentary: removing an intermediary does not remove the need to trust someone. It moves that trust to code, governance and oracles, which deserve the same scrutiny.
Digital assetsFinancial systemsSample content
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A digital twin of a financial system is a teaching tool, not a forecast
Demo notes on the scenario explorer: what five linked institutions can teach about contagion, and why the model is deliberately too small to predict anything.
Financial systemsSample content
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Read the drawdown before the return
A headline return hides the path taken to reach it. Maximum drawdown and time under water describe what holding the strategy would actually have felt like.
Quant financeSample content
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Stablecoins: what stands behind the promise of redemption
A stablecoin is only as stable as the reserve behind it and the holder’s right to be paid back. An explainer on reserves, liquidity and redemption rights.
Digital assetsSample content
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Tokenization, from rights to retirement
Tokenization changes how ownership is recorded and moved, not what is owned. A walk through the five stages of a token’s life and the question each one raises.
Digital assetsFinancial systemsSample content
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