Transformer models and the detection of volatility regime changes
Why attention-based architectures spot a shift in market regime sooner than older recurrent networks.
Regular research from the Tuveks AI desk on machine learning in markets, cryptoasset infrastructure and the UK regulatory landscape.
Why attention-based architectures spot a shift in market regime sooner than older recurrent networks.
From financial promotion rules to cooling-off periods, a look at how UK oversight of crypto is maturing.
How language models turn central-bank wording into early signals for sterling and gilts.
Wallet flows, miner behaviour and exchange balances sketch the likely paths ahead.
Rule-based execution sticks to the plan when fear starts driving human decisions.
A plain-English overview of how disposals are treated and why good records matter at self-assessment time.
How learning agents scale exposure to volatility while respecting a hard risk ceiling.
What a potential Bank of England digital currency could mean for stablecoins and settlement.
Clustering techniques flag artificial volume before it distorts the price.
Headline yields come with smart-contract, liquidity and regulatory risks worth understanding first.
Risk warning: Don't invest unless you're prepared to lose all the money you invest. Cryptoassets are high-risk and highly volatile, and you are unlikely to be protected if something goes wrong: the Financial Services Compensation Scheme and the Financial Ombudsman Service generally do not cover them. CFDs are complex instruments and carry a high risk of losing money rapidly because of leverage. Tuveks AI provides trading technology, not personal investment advice, and no return is guaranteed. Past performance is not a reliable indicator of future results. Contact: [email protected]