Transformer models and spotting volatility regime changes
Why attention-based networks react faster than recurrent models when a market shifts from calm to stressed.
Regular notes from the Thruvix research team on machine-learning models, UK regulation and the infrastructure behind digital assets.
Why attention-based networks react faster than recurrent models when a market shifts from calm to stressed.
A plain-English guide to the authorisation, disclosure and promotion rules taking shape in the UK.
How natural-language processing turns financial news and social posts into early, structured alerts.
Exchange flows, long-term holder behaviour and miner activity point to a handful of plausible scenarios.
Systematic models stick to their risk limits when fear starts driving human decisions.
Plans for regulated pound-backed stablecoins could change how digital assets are paid for and settled.
How adaptive agents scale exposure up or down in line with volatility and a fixed risk budget.
Disposals, allowances and record-keeping: the essentials for UK holders before Self Assessment season.
Unsupervised learning flags manipulative order patterns long before a human analyst could.
Arbitrum, Optimism and Base are drawing growing professional flows. Here is what that means for fees and depth.
Open an account and let the Thruvix engine apply these ideas to live markets.
Create accountRisk warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Cryptoassets are highly volatile and largely unregulated in the UK: don't invest unless you're prepared to lose all the money you invest, and you are unlikely to be protected if something goes wrong, including by the Financial Services Compensation Scheme or the Financial Ombudsman Service. Thruvix provides technology tools, not personal investment advice, and does not guarantee any return. Past performance is not a reliable indicator of future results. Contact: [email protected]