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Last Update: October 23, 2026 4 min read


BYauthor-thumberic

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This is part eleven of the ASX order book series. The previous post showed how commission drag punishes marginal trades. This one is about where to put your money instead.

Every trader whose journal I read sized by mood at the start. It's the default human behaviour: a bit bigger after a good run because you feel sharp, a lot bigger after a bad loss because you want it back. Over time, independently, they converged on the same fix: grade the setup first, then let the grade decide the size.

Why grading adds edge

Not all setups are equal. If you track your trades by quality, you'll almost certainly find that your best setups have much higher expectancy than your average ones, and your marginal setups barely break even.

Here's a synthetic example. Suppose a trader's setups break down like this:

Grade
Share of trades
Expectancy per 1R risked
A+
20%
+0.90 R
A
40%
+0.40 R
B
40%
+0.05 R

Now compare three sizing policies, all with the same average risk per trade.

Policy
Size by grade (A+ / A / B)
Average size
Expectancy per trade
Flat
1 / 1 / 1
1.0 R
+0.36 R
Graded
2 / 1 / 0.5
1.0 R
+0.53 R
Graded, skip B
2 / 1 / 0
0.8 R
+0.52 R, with 40% fewer trades

The graded policy uses the same average risk and earns about 47% more per trade. Nothing about the setups changed. The money just moved to where the edge is. Skipping B setups entirely earns almost as much with less average risk and 40% fewer trades, and it also removes their commissions, which, as the last post showed, can turn a breakeven trade into a losing one.

What makes a setup A+

The grading criteria differed between traders, but the ingredients overlapped heavily. Most were things we've covered earlier in the series.

Ingredient
A+ looks like
B looks like
Catalyst
Fresh, material, unambiguous news or a clearly mispriced open
Old news, vague catalyst, or none
Book
Strong protection relative to volume, little resistance ahead
Thin protection, or size on both sides
Context
Overnight lead and sector agree with the trade
Lead mixed or against
Liquidity
You can exit your full size easily
You would be a big part of the volume
Timing
Your best window, often the open
Midday chop or late in the day
History
Your stats show this setup works for you
You have no data, or the data is weak

A simple scoring approach works well: score each ingredient 0, 1 or 2, add them up, and map the total to a grade. The point isn't precision. It's forcing yourself to evaluate the trade on the same criteria every time, before you're in it.

Sizing from the grade

Once you have a grade, sizing is mechanical:

text
risk dollars   = base R × grade multiplier
position size  = risk dollars / distance to the invalidation point
position size  = min(position size, liquidity cap)

The liquidity cap matters. Even an A+ setup can't be bigger than the book can absorb when you need to leave. That's the protection idea from earlier in the series: don't be bigger than the liquidity you're leaning on.

A common set of multipliers was something like 0.5x for B, 1x for A and 2x to 3x for A+. Some traders skipped B setups entirely during periods when they were struggling with discipline.

Grade inflation

Here's the trap. Grading only works if it's honest, and it's hardest to be honest exactly when it matters most.

Several journals described the same pattern after a strong run: every setup starts looking like an A+. Confidence is high, standards slip, size goes up across the board, and suddenly a mediocre setup is carrying triple size. If you look back after a painful loss and find you'd rated almost everything A+ for a week, that's grade inflation, and it's extremely common.

Defences against grade inflation:

  • Record the grade before entry, in a journal or a spreadsheet, not afterwards.
  • Review grade accuracy weekly: do your A+ trades actually outperform your A trades? If not, your grading is broken.
  • Cap the number of A+ trades you allow yourself per day or per week. Real A+ setups are rare.
  • Downgrade automatically after a losing day or when you notice emotional trading.

Mood sizing: the failure modes

Mood
What happens to size
What usually follows
After a big win
Creeps up on every trade
A normal loss arrives at abnormal size
After a loss
Jumps up to win it back
Revenge trading, often in poor setups
After a losing streak
Shrinks below the plan
The next A+ setup is undersized and the streak never recovers
Bored
Random size in random trades
Commission bleed

Grading doesn't remove emotion. It gives you a rule to check emotion against.

Earning size step-ups

The other sizing question is when to increase your base size. The journals had a very consistent lesson here, learned painfully: every step up in base size triggered a relapse in discipline. Bigger numbers on the screen make losses feel worse, which makes cutting them harder, which makes them bigger.

The approaches that worked:

  1. Step up in small increments, not all at once. Something like 25% to 50% at a time rather than doubling or more.
  2. Step up on discipline metrics, not on P&L. A clever approach is to tie size increases to process goals: days within loss limits, checklist adherence, trade count limits. Profit alone can come from luck.
  3. Hold the new size for a while before stepping up again. Let the new size feel normal.
  4. Step down fast after a drawdown threshold, a rule breach, or a run of bad days. Halving size after a bad day was common. It's much easier to rebuild confidence at small size.

A template

Rule
Example
Base risk
R = a small fixed fraction of trading capital
Grade multipliers
B 0.5x, A 1x, A+ 2x
Liquidity cap
Position no more than a fraction of the protective depth
Daily loss limit
Stop trading at minus 3R for the day
Step up
Increase R by 25% after a month within all loss limits
Step down
Halve R after a day beyond the loss limit or a 10R drawdown

The numbers are illustrative, not recommendations. The structure is what matters: size is a decision made by rules before the trade, not by feelings during it.

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Keywords

  • position sizing
  • risk management
  • setup grading
  • A+ setup
  • R multiple
  • trading plan
  • day trading
  • scaling up
  • trading psychology
  • revenge trading
  • ASX
Previous Article
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Oct 24, 2026

The Averaging-Down Death Spiral

Read enough trading journals and the catastrophic losses all start to look the same: a conviction trade goes against you, you don't cut, you add, and you hold through a squeeze until you can't. Why averaging into losers works often enough to be dangerous, the difference between planned scaling and unplanned averaging, and the rules that stop the spiral.

Next Article
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Oct 22, 2026

Commission Drag: The Silent Partner in Every Scalp

For a scalper, brokerage is not a rounding error. It can take half of your gross profit. How commissions, spread and tick size interact on the ASX, why high-priced stocks are so expensive to scalp, and the single journal metric that shows whether your edge is real: commission as a share of gross.

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