Setup Grade Score

Setup Grade Score is a pre-trade classification system that assigns a letter grade — typically A, B, or C — to each trade setup before entry, based on how many high-quality conditions are present. It quantifies confluence and discriminates between your best setups and marginal ones, giving you a structured way to measure whether your trade selection is improving over time.

Formula & Calculation

Setup Grade = (Conditions Met / Total Conditions) × 100, mapped to a letter grade

Where:

• Conditions Met = number of checklist criteria that are true before entry
• Total Conditions = total number of criteria in your grading checklist
• A-grade = 80-100% of criteria met
• B-grade = 60-79% of criteria met
• C-grade = 40-59% of criteria met (anything below is a no-trade)

A typical checklist for a price action trader on EUR/USD might include: (1) trade is in the direction of the H4 trend, (2) entry is at a key support/resistance level, (3) a valid candlestick signal is present, (4) risk-reward ratio is at least 2:1, (5) entry occurs during London or New York session, (6) no major news event within 30 minutes, and (7) daily bias matches the trade direction. Each criterion is binary — it either qualifies or it does not. No partial credit.

Benchmarks

Level	Range	What It Means
Excellent	A-grade profit factor above 2.0	High-confluence setups are producing strong, repeatable edge
Good	B-grade profit factor 1.3 - 2.0	Solid setups with acceptable risk-adjusted returns
Average	C-grade profit factor 1.0 - 1.3	Marginal setups; worth taking only if A/B volume is insufficient
Poor	C-grade profit factor below 1.0	Low-confluence setups are destroying edge — stop trading them

Practical Example

A trader runs 90 trades over 3 months using a 7-criterion grading checklist. After filtering by grade in their journal, the breakdown is:

• A-grade (29 trades): 18 winners, 11 losers. Average win: +42 pips. Average loss: -20 pips. Gross profit: 756 pips. Gross loss: 220 pips. Profit factor: 756 / 220 = 3.44
• B-grade (38 trades): 21 winners, 17 losers. Average win: +31 pips. Average loss: -21 pips. Gross profit: 651 pips. Gross loss: 357 pips. Profit factor: 651 / 357 = 1.82
• C-grade (23 trades): 10 winners, 13 losers. Average win: +22 pips. Average loss: -24 pips. Gross profit: 220 pips. Gross loss: 312 pips. Profit factor: 220 / 312 = 0.71

The data is clear: A-grade setups are producing exceptional returns, B-grades are solid, and C-grades are net-negative. If this trader eliminates all C-grade trades, they remove 23 trades that cost them 92 net pips — and their overall profit factor jumps from 1.52 to 2.28.

How to Track Setup Grade

1. Define your checklist first — Write out 5-7 specific, binary conditions that must be observable before you enter. Tie them to your actual strategy: trend direction, key levels, risk-reward ratio, session, signal quality.
2. Set grade thresholds — Map percentage scores to letter grades: A = 6-7 criteria met, B = 4-5, C = 3. Fewer than 3 is a no-trade.
3. Score before entry — Lock in the grade before the trade opens. Never adjust it after seeing how the trade performs.
4. Log the grade with every trade — Record the letter grade alongside entry, exit, pair, and P&L in your trade journal.
5. Analyze by grade every 4 weeks — Calculate win rate and profit factor separately for A, B, and C grades. Act on the gap.

How to Improve Setup Grade

1. Eliminate C-grades for 30 days — Run the experiment. Most traders find their expectancy improves by 20-40% simply from removing bottom-tier setups, even though trade frequency drops.
2. Add session timing as a hard A-grade criterion — If a setup does not occur during London or New York open hours, it cannot qualify as A-grade. This single rule removes many low-probability trades that look valid on the chart but occur in illiquid conditions.
3. Require RR of at least 2:1 for A-grade — Any setup with an RR below 2:1 is automatically capped at B-grade. This prevents you from rationalizing a tight target as “close enough.”
4. Audit your last 20 A-grade losers — Find the one criterion they all failed on that you didn’t include in your checklist. Add it. Your checklist should evolve based on what your actual losing trades have in common.
5. Tie position sizing to grade — after validation — Once you have 50+ A-grade trades showing profit factor above 1.8, trade A-grades at 1.0x risk, B-grades at 0.75x, and C-grades at 0.5x or zero. This amplifies the edge your data has already confirmed.

Common Mistakes

1. Grading retroactively — Scoring your setup after the trade closes lets outcome bias infect the grade. Always assign the grade at the moment of entry decision, before you know the result.
2. Making the checklist too long — A 12-criterion checklist causes every setup to land at 58-65%, killing grade discrimination. Keep it to 5-7 items and accept that fewer than 20% of setups should qualify as A-grade.
3. Ignoring the grade data — The grading system only creates value if you review the data and act on it. Traders who log grades but never filter by them are doing extra work with no payoff.
4. Using the same checklist across all market conditions — A trending market and a ranging market reward different setups. Consider maintaining two checklists — one for trending conditions, one for range-bound — and switching based on the equity curve context.
5. Sizing up on grades before validation — Increasing risk on A-grades before confirming they outperform in your own data is speculation, not edge exploitation. Validate first across at least 50 A-grade samples.

How PipJournal Calculates Setup Grade

PipJournal lets you define a custom setup grade for each trade at the time of logging, then automatically segments your analytics dashboard by grade. The performance breakdown panel shows profit factor, win rate, average R-multiple, and net pips separately for each grade tier — no manual filtering required. You can track how your grade distribution shifts over time and whether your A-grade profit factor is trending up or down across rolling 30-day windows. The trade log export includes the grade column so you can run deeper analysis in a spreadsheet if needed.