Knowledge Base

Learn to Trade With Edge.

Guides for traders who want to build a real process — not copy someone else's alerts. Foundation concepts, proven setups, and the historical data to validate them.

Foundation

Setup Library

Documented Structural Edges

Every setup below has a structural reason it works — institutional mechanics, forced buying or selling, or supply/demand imbalances. Study them historically before trading them live.

Common Questions

Frequently Asked Questions

What is a trading playbook and why do I need one?
A trading playbook organizes your trades by setup type rather than date. After 50 trades in a given setup, it shows you the win rate, average R-multiple, and profit factor for that pattern — giving you hard evidence on whether it has statistical edge. Without a playbook, you're trading feelings. With one, you're trading data.
What is the gap and go setup and how do I backtest it?
Gap and go is a morning momentum setup where a stock opens up on a genuine catalyst and continues higher. Backtest it by using Noetic's historical scanner to find every gap over 8% with high dollar volume going back 20 years. Study each intraday chart, log whether the stock held VWAP and ran, or failed. After 50 examples, your win rate criteria become clear.
What separates a gap and go from a gap and crap?
Catalyst quality and institutional participation. A gap and go has a fundamental catalyst (earnings beat, FDA approval, analyst upgrade) and shows institutional buying — holds VWAP, expands volume, holds intraday highs. A gap and crap has a thin or manufactured catalyst, opens extended, fails VWAP on first attempt, and slowly bleeds to lows. Float size matters too: high-float stocks with real catalysts go. Low-float stocks on hype fade.
How do I know if my trading strategy has real edge?
Log 50 to 100+ trades in your setup and calculate expectancy: (win rate × average win R) minus (loss rate × average loss R). A positive number means edge. A negative number means adjust your criteria or discard the setup. You cannot know this without a meaningful sample size — under 30 trades is just noise.
Where should I start if I want to build a real trading process?
Start with the Playbooking guide to understand how to define and document setups. Then read the Backtesting guide to learn how to validate your ideas against historical data. Then use Noetic's scanner to find historical examples of your setup, study them in the study view, and log them to your playbook. That cycle — study, log, measure — is the entire process.