Insights

Notes from the night desk

Analysis from the Sternvox research team on machine learning in markets, cryptoasset infrastructure and the UK rules that shape how you invest.

Latest articles

How attention models spot a change in market regime

Why transformer-style models pick up the shift from calm to volatile conditions faster than older recurrent networks.

The FCA's crypto promotion rules: what UK investors should look for

Risk warnings, cooling-off periods and appropriateness checks, and why each of them exists to protect you.

Sentiment analysis on UK market news: signal or noise?

What natural-language models can, and cannot, extract from headlines about the FTSE and sterling.

Crypto and Capital Gains Tax: a plain-English guide for UK holders

How HMRC treats disposals, why careful record-keeping matters and where the annual exempt amount fits in.

Reinforcement learning and the art of position sizing

Teaching an agent to size trades is less about bigger wins and more about surviving the losing streaks.

Sterling stablecoins and the future of UK payments

What the Bank of England's approach to systemic stablecoins could mean for everyday settlement.

Detecting market manipulation without a human in the loop

Spoofing, wash trading and pump-and-dump patterns, and how anomaly-detection models flag them.

Bitcoin after the halving: reading the on-chain indicators

Hash rate, miner flows and long-term holder behaviour, and what they do and do not tell you.

Why backtests lie: overfitting in trading models

The quiet ways a strategy can look brilliant on history and fail live, and the checks that catch them.

Assessing risk in decentralised-finance protocols

Smart-contract audits, oracle design and liquidity depth: a checklist to work through before you touch a DeFi token.

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CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. Consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money. Sternvox does not provide personal investment advice, and past performance is not a reliable indicator of future results. Contact: [email protected]