Lesson Context Market Feed
SPY $746.13 +0.46%
QQQ $719.20 +0.66%
AAPL $309.57 +1.50%
MSFT $418.25 -0.20%
NVDA $217.22 -1.04%
XLK $180.73 +1.19%
Basics

What automated trading actually means inside SFZ

The platform is not a signal vending machine. It is a workflow engine for structured decision-making.

Concepts Workflow: Idea -> Rule -> Test Environment: Challenge, paper, live Focus: Process over prediction
Key Takeaways What to take from this lesson
A bot is a policy, not a prediction Risk limits stay first-class
Risk Frame What this page should change
  • Do not automate vague pattern recognition you cannot define.
  • Do not confuse historical correlation with a durable edge.
  • Do not move forward until the rules are testable and reviewable.
Rule set

A bot is a policy, not a prediction

The edge comes from rules that behave consistently across enough market conditions, not from one forecast that happens to be right today.

Control

Risk limits stay first-class

Capital limits, drawdown awareness, and execution constraints are configured alongside the strategy rather than added after the fact.

Workflow

Learning mirrors product onboarding

The best way to understand automation is to follow the same sequence you will use in the platform: create, test, launch, review.