Start from a concrete frame, not a blank agent.
Explore a library of starter trading personas built around real operating styles, risk preferences, market focus, and decision habits. Choose a frame that matches how you think, then bring it into paper mode and refine it with review data.
Instead of starting with an empty agent, browse proven starter frames by trading style, market focus, and narrative preference. The goal is not to copy blindly. It is to start from a clear hypothesis and improve it through paper-trading review.
Four practical ways into the library.
The public catalog groups the personas by the question they answer first: broad default exposure, playbook construction, ecosystem loyalty, or narrative and macro framing.
Browse the public starter library.
Click into any persona to inspect the public playbook, watchlist, operating brief, and starting constraints. Then use the product to run the workflow, review decisions, and tune the behavior over time.
Try a different search or clear the tier filter.
Turn a starter persona into your own trading process.
Pick one starting frame
Use the library to narrow the field quickly. Choose the tier that matches how you actually think about the market, then pick one persona instead of bouncing between twenty names.
Move it into paper mode
The real work starts after selection. Run the persona through the paper-trading workflow, review what it catches, and tighten the behavior around actual decision history.
Measure before you trust it
A persona is a starting thesis, not a finished system. Keep it in paper mode, study the decisions it makes, and only tighten rules after you have enough review data to see what is actually working.
Public pages are for orientation. The product is where the agent gets shaped, reviewed, and corrected.