L1.3 — Why Consistent Sizing Matters More Than Sizing Big on Good Trades

The intuition that "bigger risk on better setups" makes sense is correct in theory but unworkable in practice. The problem is that your pre-trade quality assessment is based on incomplete information. The setup you grade as A+ and risk 5% on may lose. The setup you grade as B and risk 1% on may produce a 4R return. Over a large sample, variable sizing based on perceived quality produces high variance in outcomes — not consistently better performance.

Consistent fixed-percentage sizing produces a different result: your account equity curve reflects your edge — your actual win rate and risk-to-reward ratio — rather than your sizing decisions. If your performance is inconsistent with consistent sizing, the problem is your edge, not your sizing. If you add variable sizing to an inconsistent edge, you amplify the inconsistency.

Build the sizing discipline first. Once your fixed-percentage edge is proven across 100+ trades with detailed records, you can explore modest variation — for example 0.75% on B-grade setups and 1.25% on A-grade. But the baseline of consistent sizing must be established first.