Transformer models and spotting regime change in crypto volatility
Why attention-based models pick up a shift in market regime sooner than recurrent networks.
Journal
Notes from the trading floor
Regular analysis from the Plentford research team on machine learning, digital-asset infrastructure and the UK regulatory landscape.
Recent articles
The UK cryptoasset regime: what the new rules mean for retail investors
How the evolving FCA framework is pushing the UK market towards greater transparency.
Reading market sentiment with large language models
Language models scan news and social feeds to raise early warnings before prices react.
Bitcoin mid-cycle: what on-chain data is signalling
Wallet flows and network activity point to the likely paths for the months ahead.
Why algorithms hold their nerve in falling markets
Rules-based models stick to the plan when fear starts to cloud human judgement.
Layer-two networks and the arrival of institutional money
Arbitrum, Optimism and zkSync are attracting a growing share of professional liquidity.
Reinforcement learning and smarter position sizing
How models scale exposure to volatility while respecting the risk limit you have chosen.
Sterling stablecoins and the future of digital settlement
Why pound-backed tokens could reshape payments between the UK and its trading partners.
Detecting market manipulation without a human in the loop
Clustering techniques flag wash trading before sharp price swings take hold.
Weighing up the risks in DeFi protocols
Attractive yields often come with technical and regulatory risks that deserve close scrutiny.