Entry patterns with R:R attached

It is 10:12 ET (22:12 ICT, winter). ES rallies into 6,020, a level on your morning sheet, and your plan says fade it with a stop at 6,024 and a target at 6,010. The setup says what and where. The entry says how, and the “how” rewrites the R:R. Same setup, three entries: one at 3.7:1, one at 1:1, one in between. This lesson makes the choice deliberate, and then shows what the choice cannot do.

Key term

Entry pattern (mẫu vào lệnh): the order type and trigger you use to open a planned trade: a resting limit at the level, a stop order on a written trigger, or a scale-in that combines them Definition. The setup fixes the invalidation; the entry decides your price, your risk in dollars, your R:R and how often you miss.

Term you need: break-even hit rate. The share of trades that must reach the target for the trade to pay for itself: risk ÷ (risk + reward) before costs, and (risk + cost) ÷ (risk + reward) after them Definition. RSK1.01 owns the formula; this lesson applies it.

Chart first: R:R moves, the edge does not

How it works

Three entries

Pattern 1: limit at the level (vào lệnh giới hạn, passive). Place the limit at the mapped level before price arrives. You get the best price, the smallest risk and the best R:R. The costs: price may never come (a missed trade), and when it does come you are filled with no filter at all. Use it when your written plan puts the stop just beyond the level, so the level defines the smallest risk (M5.01, M5.04, M5.05) House rule. That is a choice about where risk is smallest, not evidence that the level holds: on our lab’s tests, pre-market levels were respected at the rate of random prices at the same distance Measured: no edgeNasdaq index.

A resting limit also has a fill problem. When the market touches your price and turns, you may be behind the queue and get nothing; when it trades straight through, you are filled every time. So your fills lean toward the trades that keep going against you (adverse selection) PlausibleOther market. The mechanism is textbook market microstructure; our lab has not measured it on NQ or ES. A backtest that assumes a fill on every touch overstates the limit entry.

Pattern 2: confirmation entry (vào lệnh xác nhận). Enter on the written trigger: the reclaim close, the acceptance print, the release bar, usually with a stop order. You give up price for a filter: worse price, wider risk, lower R:R, but fewer missed trades and no entry before the trigger. Use it when your rule requires a trigger before risk (M5.02’s release, M5.05’s reclaim, M5.12’s second leg) House rule. Whether waiting for a trigger improves the hit rate at a level is not yet measured; M4.09 shows how to write the trigger so it can be scored.

Pattern 3: scale-in (vào lệnh từng phần). Half the position on the limit at the level, the other half on the trigger. You hold part of the position even when the best price never comes. The complexity cost: two decisions and two fills to manage, and the add must be pre-planned (level, size, combined stop, all written before the first fill), never an improvised average-down.

The R:R math, one setup, three entries

Setup: short the 6,020 rejection (M5.01). Invalidation 6,024. Target 6,010. ES moves in 0.25-point ticks worth $12.50, so $50 a point. Costs: $15 a round trip per contract (an assumption; use your own).

• Limit: short 6,021. Risk 3 points ($150 on 1 ES), reward 11 ($550): R:R 3.7:1. Break-even hit rate 21.4% before costs, 23.6% after.
• Confirmation: after a close back under 6,020, short 6,017 on a stop. Risk 7 ($350), reward 7 ($350): R:R 1:1. Break-even 50.0% before costs, 52.1% after.
• Scale-in: 1 ES at 6,021 plus 1 ES at 6,017. Average entry 6,019, risk 5 points a contract ($500 total), reward 9 ($900): R:R 1.8:1 when both halves fill. Break-even 35.7% before costs, 37.9% after ($30 for two round trips). If price never reaches 6,021, you hold only the confirmation half at 1:1.

All of this is arithmetic Definition. The limit trader is not braver: they accepted miss risk and fill risk for a lower break-even. The confirmation trader is not safer: they paid 4 points for a filter. Both are choices; the mistake is not knowing which one you made.

What the entry cannot do

Look at the break-even rates again. In a market with no drift, a target k times the stop distance is reached first about 1 ÷ (k + 1) of the time Model: 21.4% at 3.7:1, 50% at 1:1, 35.7% at 1.8:1. Those are exactly the break-even rates before costs. So if the setup has no directional edge, every entry has zero expectancy before costs and loses the costs after them. A wider target lowers the hit rate you need, and it lowers the hit rate you get by the same amount. The evidence below says footprint signals make the next move bigger in both directions, not more likely in one: useful for the stop and the size, not for stretching the target.

Matching entry to setup is a house choice House rule: limit where the stop sits just beyond the level (M5.01, M5.04, M5.05); confirmation where your rule needs a trigger first (M5.02, the M5.05 reclaim, M5.12); scale-in where you want part of the position before the trigger and accept the extra management (M5.08, M5.09). None of these pairings is measured. And no entry fixes a setup you cannot classify (M5.13): entry is the last decision, not the first.

What the data says

R:R is arithmetic on an edge; it cannot create one. Choose the entry for risk, misses and fills, and look for the edge in a measured hit rate above break-even.

Worked example: the confirmation trader’s good month

Synthetic month, not real dates. A trader only takes confirmation entries on the 6,020 fade (temperament: hates missing). Short 6,017, risk 7, reward 7: 1:1 on 1 ES. Ten trades: six reach the target (+$2,100), four stop out (−$1,400), costs and two slippage events −$300. Net +$400, and they conclude the setup works.

Check it. With $15 costs the trade needs a 52.1% hit rate. Six of ten is 60%, but ten trades is far too few to tell: a 95% interval for 6 of 10 runs from about 31% to 83% (EV3.01), which includes the break-even rate with room to spare. The month says nothing yet.

Next month they switch to limit entries because “3.7:1 is better math”. The break-even drops to 23.6%. If the setup has no directional edge, the 11-point target before the 3-point stop comes first about 21.4% of the time: expectancy about 0.214 × $550 − 0.786 × $150 − $15 ≈ −$15 a trade, before the missed trades and the fills that only come when the market runs through. The R:R changed; the edge did not.

Only a measured hit rate above break-even at the chosen bracket, on enough trades with realistic fills, would change the verdict. Until then the choice is about risk dollars, miss rate and management, and skip stays on the menu.

The mirror and the failure

Long mirror. Support 5,980, invalidation 5,976, target 5,990. Limit long 5,979 (3.7:1), confirmation long 5,983 after a close back above 5,980 (1:1), scale-in 1 ES at each (1.8:1). Same break-even rates.

The failure. Same short, sell limit at 6,021. The market touches 6,021.00 twice without trading above it, turns down to 6,014, and your order never fills: you were behind the queue. The next morning it trades straight through 6,021, fills you at once, and runs to 6,024.25 within six minutes: −$150 plus costs. The touch-and-turn winner did not include you; the run-through loser did. A limit-entry backtest that counted both as fills would show a winner and a loser where you had only the loser.

Prop-firm note. In an evaluation or practice account your limit orders fill by the simulator’s rules, not by a real queue, so a limit entry at a level can look better in SIM than it will live (SIM fills vs live fills, MKT2.03). Firms forbid strategies that exploit simulated fills (Prop Firm course, PROP1.04); read your firm’s help-center article on prohibited conduct before you trade a firm account. Your stop is the number the firm’s loss limits see: size from the stop distance (RSK1.05), whichever entry you use.

Common mistakes

Common mistake: Reading a lower break-even as a better trade. The 3.7:1 limit entry needs 23.6% and the 1:1 confirmation needs 52.1%, but with no directional edge each gets about its break-even rate before costs. A lower bar to clear only helps if your hit rate at that bracket is measured above it.

Common mistake: Treating confirmation as automatically safer. It is safer against missing and entering early, and pays with worse price and wider risk. Compute all three entries before choosing.

Common mistake: Using a footprint signal to justify a wider target. In the practitioner study the signals widened the worst excursion as much as the best. If a signal changes anything in your plan, it is the stop distance and the size, so the same dollar risk survives a bigger swing.

Drill: three entries on one long setup

NQ, synthetic. Level 21,200.00, invalidation 21,192.00, target 21,224.00. NQ ticks are 0.25 points worth $5, so $20 a point; assume $15 a round trip per contract. Your three entries: limit long 21,201.00; confirmation long 21,206.00 on a close back above 21,200.00; scale-in 1 NQ at each.

1. For each entry, compute risk and reward in points and dollars, and the R:R.
2. Compute each break-even hit rate before and after costs.
3. Your rule says: take the trade only if some entry has R:R of at least 1.5:1 and fits a $200 risk budget. Which entries pass?

What we don’t know yet

• Whether a confirmation trigger raises the hit rate at a level compared with a resting limit or no trade: not yet measured. Order-flow confirmation at a zone is on the lab’s forward-test list (M4.09 writes the rule).
• Our lab’s own replication of “footprint signals widen excursions both ways” on NQ: planned, not run; it waits on 60 or more days of 1-minute footprint data.
• How often a resting limit at a level fills live versus in a simulator, and how much worse the filled trades are than the touched ones (markout): not yet measured on NQ or ES.

Recap

• Three entries: limit at the level (lowest risk and break-even, misses and adverse fills), confirmation (a filter at a price), scale-in (blended, pre-planned add).
• Compute each entry’s risk, R:R and break-even with costs before choosing, and skip when none passes your rule.
• With no directional edge, a wider target lowers the hit rate you get as much as the one you need: the entry changes R:R, not the edge.
• One trader’s NQ study found footprint signals widened both the best and the worst excursion (Plausible): use them for stop distance and size.
• Limit-entry results that assume a fill on every touch, in a backtest or a simulator, are too kind.

Further reading

• Order Flow, Measured: home. A public, pre-registered practitioner study on NQ, 2018–2026. Read the study page “Does a Wider Target Help?” and the headline findings.
• Glosten, L. and Milgrom, P. (1985), “Bid, ask and transaction prices in a specialist market with heterogeneously informed traders”, Journal of Financial Economics 14(1). The classic model of why passive orders get adversely selected.
• Our lab: pre-market level families vs placebo, 721 sessions and 226 pre-registered tests; no level family beat random prices at the same distance.
• RSK1.01 for expectancy and break-even; M6.06 for order types; M6.08 for the cost term; M3.11 for markout and passive fills.

Next: M6 starts trade management: once an entry has filled, M6.01 separates the setup from the entry family and the rest of the module manages the position.

Educational content only. Not financial advice. Futures trading involves substantial risk of loss.