How to Score and Filter Futures Trade Setups: A Probability Framework

Why Setup Scoring Matters

Every trading system has a universe of possible setups — moments when conditions approximately match the entry criteria. Not all of these setups have equal probability of success. A KPL level being tested at 10:15 AM during the NY open kill zone, after the morning's dominant trend has established, on the primary timeframe with clean structure, is a fundamentally different setup than the same KPL level being tested at 12:45 PM in choppy lunch-hour conditions with no structural context. Both technically meet the entry criteria, but their expected value is very different.

Setup scoring is the practice of quantifying setup quality before entry using a consistent set of criteria. The goal is not to find the "perfect" setup — perfect setups don't exist. The goal is to ensure you're trading the top 30–40% of your setup universe (highest expected value) and filtering out the bottom 30–40% (marginal setups that drag down your overall statistics). This filtration is one of the most powerful improvements available to traders who already have a positive-expectancy system.

The Five-Factor Setup Score

Score each potential setup from 0–2 points on five factors, for a maximum possible score of 10:

Factor 1: Structural Confluence (0–2 points)

0: Setup is at a minor level with no structural confirmation. 1: Setup is at a KPL level OR at a visible structural level (prior session high/low, order block, FVG). 2: Setup is at a KPL level AND has a second structural confirmation (order block within the KPL zone, FVG at the KPL level, prior session high/low aligning with KPL). More confirmation signals at the same price level = higher score.

Factor 2: Trend Alignment (0–2 points)

0: Setup is counter-trend on both the 1-hour and 4-hour chart. 1: Setup aligns with the trend on one of the two reference timeframes. 2: Setup direction aligns with the trend on both the 1-hour and 4-hour chart. Trading with the trend on multiple timeframes significantly increases the probability that the entry will be defended by institutional order flow.

Factor 3: Kill Zone Timing (0–2 points)

0: Setup is forming during 11:30 AM–1:30 PM ET (low-liquidity lunch window). 1: Setup is forming during the afternoon kill zone (1:30–4:00 PM ET). 2: Setup is forming during the NY open kill zone (9:30–11:30 AM ET). Setups in the highest-liquidity window have more institutional order flow available to confirm and defend the move.

Factor 4: Risk/Reward Quality (0–2 points)

0: Setup offers less than 1.5:1 reward/risk to the nearest logical target. 1: Setup offers 1.5:1 to 2.5:1 reward/risk. 2: Setup offers 2.5:1 or better reward/risk to the first logical target (next KPL level, prior session high/low, or structural level). The target must be achievable in the current session context — don't count a 20-point target if the market has never moved more than 10 points in a session of this type.

Factor 5: Market Context (0–2 points)

0: Market is in a choppy, range-bound session with no clear direction or regime. 1: Market has established a directional bias but context is mixed. 2: Market is in a clear trending regime on the primary trading timeframe, and the setup direction aligns with that regime. The Marty bot regime detection logic — identifying whether the market is in a mean-reversion or trending state — is the systematic version of this factor.

Interpreting Your Setup Score

8–10 points: High-Priority Setup. Take this trade at full position size. All major factors align. These setups are rare — perhaps 10–15% of your total setup universe — and represent your edge at maximum expression.

5–7 points: Standard Setup. Take this trade at normal position size. Multiple factors align but one or two are neutral. These represent the core of your trading — the reliable bread-and-butter setups that make up 50–60% of your traded signals.

3–4 points: Marginal Setup. Skip or trade at 50% position size with reduced profit targets. Only one or two factors are favorable; the rest are neutral or negative. These setups exist in your system but drag down average performance.

0–2 points: Do Not Trade. No meaningful confluence of factors. Taking this setup is noise-trading — you're filling time with trades that have no statistical justification beyond "something is happening."

Applying the Framework in Real Time

The scoring framework isn't meant to be a formal 30-second calculation for every potential setup — it's a mental model that becomes automatic with practice. After applying it to 20–30 setups explicitly, the factors become internalized: you develop an instinctive sense of "this setup is a 3, I should pass" or "this is a 9, I need to be in this trade." The explicit scoring is a training tool that builds better intuitive judgment over time.

Track your scores in your trading journal alongside outcomes: record the score for each trade taken, and periodically review the average score of winning trades versus losing trades. Most traders find that losing trades cluster at lower scores (3–5) and winning trades at higher scores (7–10). This correlation validates the scoring model and provides ongoing feedback on which factors are most predictive for your specific strategy in current market conditions.