AI Agents
AI agents in trading, and the guardrails they still need.
164 articles in this topic.
Why One Whale Buy Is Weaker Signal Than Twenty Small Wallets Buying Together
An agent that counts distinct buyers reads intent better than one that only measures size. Here is why breadth beats a single fat candle.
How an Agent Spots Fake Volume Before It Pings You
Wash trading and fake volume are how dead tokens cosplay as live ones. Here is the checklist an agent should run before any alert fires.
Multibuy Convergence: How the Score Is Built, and How It Gets Faked
Multibuy convergence is a timing signal, not a verdict. Here is how the score is assembled and the cheap ways it gets gamed.
Human in the Loop: Why On-Chain Automation Should Never Get the Final Say
Automation is a tool, not an authority. Here is how to keep a human decision between your agent and your wallet.
Guardrails First: What You Must Never Let an Autonomous Agent Do With Your Funds
Autonomous AI agents can sign transactions you never saw. Here are the hard limits you set before you give one a wallet.
Your Trading Agent Reads the Internet. That's the Attack Surface.
AI trading agents eat untrusted text all day. Prompt injection turns that text into instructions, and your wallet pays for it.
The Human in the Loop: Why Your Bot Should Never Get the Last Word
On-chain automation is leverage, not leadership. Here is how to keep a human decision between your agent and your capital.
Multibuy Convergence: How the Score Is Built, and How It Gets Faked
Multibuy convergence is a useful signal until someone learns to stage it — here is how the score works and where it breaks.
Feedback Loops: The Only Thing That Makes an AI Agent Actually Get Better
An agent that never records what happened can't learn from it. Snapshotting outcomes is the difference between a bot and a system that improves.
Your Trading Agent Reads the Chart. It Also Reads the Token Name.
Autonomous trading agents treat token names, comments, and metadata as instructions — which makes prompt injection a memecoin attack surface.
Your Trading Agent Reads Poison, Not Charts
Prompt injection turns your AI trading bot into a willing buyer of someone else's exit liquidity. Here is how untrusted data gets weaponized.
Guardrails: What an Autonomous Agent Must Never Do With Your Funds
AI trading agents can hold keys, sign swaps, and move money while you sleep. Here are the hard limits you set before you let one touch a wallet.
The Data Stack: What an AI Agent Actually Needs to Score a Token End to End
An AI agent is only as good as the data you feed it. Here's the full stack a memecoin scorer needs, layer by layer, and where each layer lies to you.
Your Trading Agent Is Reading the Replies: Prompt Injection for Memecoin Degens
If your AI agent reads token names, tweets, or Telegram chatter, someone can write instructions into that data and hijack it.
Your Trading Agent Reads the Internet. That's the Exploit.
Trading agents treat untrusted text as instructions. Here's how prompt injection turns a memecoin ticker into a wallet drain.
Feedback Loops: The Only Thing That Actually Makes an AI Agent Smarter
An agent that never grades its own calls is just a random number generator with a personality. Snapshot the outcomes and it starts to learn.
Multibuy Convergence: How the Score Is Built and Where It Gets Faked
Multibuy convergence is a useful signal until someone games it. Here is how the scoring works and the tells that it has been faked.
Observe, Score, Act: Build a Simple Alert Loop That Filters Memecoin Noise
A conceptual three-stage alert loop that turns raw memecoin noise into a decision, without pretending the outcome is predictable.
Human in the Loop: Why Your Bot Should Ask Before It Buys
On-chain automation is only as safe as the moment it stops and waits for you. Here is how to build that pause.
Feedback Loops Are What Separate a Learning Agent From a Loud Chatbot
Snapshotting outcomes is the difference between an agent that learns and one that just talks: how traders can demand real feedback loops.
Build an Observe-Score-Act Loop Before the Next AI Agent Hype Cycle
A practical, no-code framework for watching AI agent tokens: what to observe, how to score it, and when to act with rules instead of feelings.
What Data an AI Agent Actually Needs to Score a Token End to End
A serious agent doesn't guess. It pulls contract, liquidity, holder, flow, and social data in a fixed order — here's the stack and where it breaks.
Observe, Score, Act: Building a Simple Alert Loop That Doesn't Panic-Trade You
A conceptual alert loop for memecoin traders: what to observe, how to score it, and when to act — or not.
Never Give an Agent the Keys: Guardrails for Autonomous Crypto Trading
Autonomous agents can trade while you sleep, which is exactly why they need hard limits on what they can touch.