Agentic Trading vs Automated Trading: What’s the Difference?
A direct comparison of fixed-rule automation and goal-oriented agentic workflows — including where they overlap and why controls matter.
Read the noteCryptoholon field notes
Writing on multi-agent trading,
meme-coin markets, and risk.
How the agents work, how meme-coin markets actually behave, and the choices that shape a usable trading session. New notes added as the platform ships.
What is agentic trading?
A plain-English guide to agentic trading: how it differs from fixed automation, where AI fits, and why defined controls still matter.
Read the noteMulti-agent trading architecture, explained.
Six agents, six jobs, one pipeline. A deep look at how Cryptoholon separates scanning, filtering, strategy, execution, monitoring, and session control — and why that separation matters for high-volatility markets.
Read the noteWhat is a meme-coin trading bot?
A plain-English guide to meme-coin trading bots, automation, market scanning, and the parts that stay in the trader's hands.
Read the noteWhat a Solana meme-coin scanner actually watches.
Liquidity, volume, pair age, momentum, and the signals a scanner organizes into a usable market view across Solana.
Read the noteCan you lose money using a meme-coin trading bot?
Yes — and here are the specific ways. Volatility, liquidity gaps, slippage, strategy drift, and the risk-management habits that help.
Read the note