A $300 win on NQ and a $300 win on CL are not the same trade — one risked half a point, the other risked thirty cents. Dollars hide that. R-multiples don’t.
What 1R means when your stop is in ticks
1R is your initial risk on a trade — the distance from entry to your stop, in money. Everything else gets measured against it. A trade that made twice what you risked is +2R; one that hit its stop is −1R. The unit is the point.
On futures your stop is naturally expressed in ticks, and each tick has a fixed dollar value:
| Contract | Tick size | Tick value | Points → ticks |
|---|---|---|---|
| ES (E-mini S&P) | 0.25 | $12.50 | 1 pt = 4 ticks |
| NQ (E-mini Nasdaq) | 0.25 | $5.00 | 1 pt = 4 ticks |
| CL (Crude Oil) | 0.01 | $10.00 | $1.00 = 100 ticks |
| GC (Gold) | 0.10 | $10.00 | $1.00 = 10 ticks |
| MES / MNQ (Micros) | 0.25 | $1.25 / $0.50 | 1 pt = 4 ticks |
These are contract specs, not opinions — they don’t change with the market. That fixed tick value is exactly what makes the tick→R conversion clean.
Converting a tick stop into your R unit
The arithmetic is one line:
1R (in $) = stop distance in ticks × tick value × number of contracts.
Two examples on the same 8-tick stop:
- ES, 2 contracts: 8 ticks × $12.50 × 2 = $200. Your 1R is $200.
- NQ, 2 contracts: 8 ticks × $5.00 × 2 = $80. Your 1R is $80.
Same tick stop, very different dollar risk — because the tick values differ. This is precisely why you fix 1R in dollars first, then size the contract count to hit it, rather than trading a fixed number of contracts and letting risk float. A risk-reward calculator does this conversion in a couple of fields so you’re not doing tick math while a setup forms.
Grading winners and losers in R, not dollars
Once 1R is defined, every result becomes a clean multiple:
- Stopped out → −1R (or worse if it slipped through the stop).
- Took profit at 2× the stop distance → +2R.
- Scratched at breakeven → 0R.
- Cut early in a panic for a small loss → maybe −0.4R.
Grading in R strips out contract size and instrument. A trader who booked +2R on a single MES micro made the same quality decision as one who booked +2R on ten ES — the dollars differ by 40×, but the trade was identical. That comparability is the entire point. Read the full mechanics in what an R-multiple is if the concept is new.
Comparing trades across ES, NQ and CL
Here’s where R earns its keep. Suppose over a month you traded:
- ES: average +0.3R per trade across 40 trades
- NQ: average −0.1R per trade across 55 trades
- CL: average +0.6R per trade across 12 trades
In dollars, NQ might still look like your biggest line because you traded it most and sized bigger. In R, it’s plainly the leak — you’re paying to trade it. CL is your sharpest instrument on a per-trade basis, even though the sample is thin. You cannot see any of this from a dollar P&L; R is the common denominator that makes ES, NQ and CL directly comparable.
The thin-sample caveat matters: +0.6R over 12 trades is a hint, not a fact. Twelve trades is well inside the range where a couple of lucky wins flatter the average.
Building an R-distribution from your journal
The real prize isn’t the average R — it’s the shape of the distribution. Tag and bucket every closed trade by its R outcome and you get a histogram:
- A cluster of small losses around −1R and a long right tail of +2R to +4R winners is a healthy trend-following signature.
- A wall of +0.5R winners and a few −3R disasters is the classic cut-winners, hold-losers pattern — positive some months, then one bad tail erases the quarter.
- Losers routinely worse than −1R means your stops are slipping or you’re moving them — an execution problem, not a strategy one.
Maintaining this by hand is where most traders quit; it’s tedious and easy to fudge. Shibiki auto-journals each fill and computes the R-distribution for you, then wraps the win rate and expectancy in a Wilson confidence interval — its live edge health — so you know whether that CL edge is real or just twelve trades of noise. Dedicated journals like Edgewonk pioneered R-based analysis; the difference here is the R-grading happens automatically from broker fills and feeds a statistically honest read on whether the edge has cleared the noise floor yet.
Grade in R for a few months and your instrument selection, your stop discipline, and your position sizing all start answering to the same honest number.
Related: Risk-Reward Calculator · What is an R-Multiple · Trading Expectancy