Transformer models and volatility regime shifts in crypto
Why attention-based networks tend to catch a change in market regime sooner than older recurrent models.
Research
Insight from inside the market
Regular analysis from the Welthby research desk on machine learning in markets, digital-asset infrastructure and the UK regulatory landscape.
Latest articles
The FCA cryptoasset regime: what UK retail investors should know
A plain-English guide to the financial promotion rules, the risk warnings and the authorisation regime taking shape.
Reading market sentiment with language models
How large language models scan news wires and social feeds to raise early warnings.
Capital Gains Tax on cryptoassets: a primer for UK traders
How HMRC treats disposals and pooling, and why a clean trade log saves time at Self Assessment.
Why rules-based discipline matters in falling markets
Algorithms keep to the plan when fear starts to drive human judgement.
Layer-two networks and the flow of institutional capital
Arbitrum, Optimism and zkSync are attracting a growing share of professional liquidity.
Reinforcement learning and position sizing
How models scale exposure to volatility and to the risk ceiling each client sets.
Sterling stablecoins and the future of UK digital payments
New issuers and the Bank of England's proposals could reshape settlement and cross-border payments.
Spotting market manipulation without human supervision
Clustering algorithms that flag wash trading ahead of sharp price moves.
Weighing up risk in DeFi protocols
Headline yields come bundled with smart-contract, liquidity and regulatory risks that need careful reading.