Build trading agents that actually execute.
A trading agent is an autonomous program that reads market data, decides on a trade, and executes it without a human in the loop. The hard part isn't the model — it's reliable execution, risk controls, and deployment. These guides cover that part.
How to build a trading agent
The full loop: market data, reasoning, execution, risk controls, and going live.
Build a Hyperliquid trading agent
Agent-wallet delegation, on-chain order book, sub-second fills. (coming soon)
Give an agent a trading tool via MCP
Expose place/cancel/backtest as MCP tools your agent can call. (coming soon)
Build vs buy: trading infrastructure
When to hand-roll execution and when an API saves you months. (coming soon)
Why this site
Most "AI trading" tutorials stop at a backtest. Real agents need an execution layer that handles order placement, partial fills, atomic exits, and position state — the parts that break in production. We write the guides we wish existed, and where a managed layer genuinely saves time we'll say so (including Superior Trade, which we operate).