From gut feel to machine-executable rules. The public FreeRideInvestor transition from discretionary trading to disciplined, testable trading plans — built in the open, scored on process, proven on paper before anything else.
This is not a signal service and not an AI stock picker. You are joining a continuing operating system: shared bot-building progression, structured strategy artifacts, verified paper-trading experiments, operator review, and community accountability — with future robot integration earned through evidence.
Limited slots. Founding members get scheduling priority.
Paper trading first. Always.
Every strategy in the lab moves through an explicit pipeline. There is no "live" label anywhere in the system — promotion candidacy must be earned with a full paper-trading sample and a high process score, then reviewed by a human operator.
A profitable trade that broke your rules scores worse than a disciplined loss. Process score and financial result are tracked separately, on purpose.
1. Plan
Capture your setup in the Strategy Plan Builder: context, triggers, confirmations, invalidation, stops, risk caps, exits, no-trade rules, session limits, and success/failure criteria.
Full sample + high process score = promotion candidate, queued for operator review and community accountability. That artifact is what future robots will run.