Attention models and detecting volatility regime shifts in crypto markets
How transformer-style architectures tell short-lived noise from the start of a new market phase, and why that matters when sizing positions.
Commentary from our team on artificial intelligence in investing, regulation and the crypto market – written with investors in Poland in mind.
How transformer-style architectures tell short-lived noise from the start of a new market phase, and why that matters when sizing positions.
The EU Markets in Crypto-Assets regulation has applied in full since the end of 2024. We sum up what it means for client protection and choosing a provider.
Inflection, idioms and clipped headlines – how we teach models to understand Polish-language financial news and company announcements.
Income, costs and unused costs carried over from previous years – a practical guide to reporting cryptocurrency transactions in your annual tax return.
Why automatic risk limits work best exactly when emotions suggest the worst decisions – and where their capabilities end.
Active addresses, exchange flows and long-term holder behaviour – which blockchain data actually helps you judge the phase of the cycle.
How an RL agent learns to match exposure to volatility, and why in production it always runs under the supervision of hard risk limits.
Arbitrum, Optimism and zkSync have cut transaction costs. We check whether bigger money is following the user traffic.
Wash trading, spoofing and artificial liquidity pumps – how anomaly models catch suspicious patterns before they affect the algorithm’s decisions.
How MiCA-compliant stablecoins differ from the rest, and what role they could play in everyday settlement in Poland.
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