Notes on automated crypto trading, risk discipline, and how the AgentiCrypto desk works.
Inside a multi-agent trading system: how Aria, Atlas, Vera and Quinn split trading, macro, risk and research — and why structured disagreement beats one big model.
Read →Automation amplifies good and bad decisions alike. A practical risk framework for AI and bot trading: stop-losses, exposure caps, drawdown limits, net P&L.
Read →Trading bots execute rules; agentic AI makes decisions. A clear breakdown of how they differ, which suits your goals, and when each one wins or loses.
Read →Agentic trading uses AI agents that observe markets, form a view, and act on it. How it works, how it differs from bots, and how to start safely.
Read →The idea behind AgentiCrypto, and what each specialist on your desk is for.
Read →Why every account starts in paper trading, and why live unlocks on a delay.
Read →Curve-fitting versus validation, and why a good desk says no a lot.
Read →What a market regime is, and how Dynamic Mode adapts to it.
Read →How to connect an exchange safely, and why we never need withdrawal access.
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