Building a Tiered Risk Model
Trading Intelligence
9 min read
riskOfRuinulcerIndex
Scale confidence without losing control by knowing when and how to bet bigger when your edge is working.
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9 min read
Scale confidence without losing control by knowing when and how to bet bigger when your edge is working.
Risk isn’t just about limiting losses — it’s also about knowing when (and how) to bet bigger when your edge is working.
A tiered risk model is a position-sizing framework where your % risk per trade is gated by your system’s recent performance (anti-Martingale) and/or your pre-trade conviction in the setup (confidence-tiered). You earn your way up tiers; you step back down on data, not feelings.
Most traders do one of two things:
Neither is professional.
The best traders scale their risk intentionally, using a structured framework based on confidence, data, and system health.
In this post, we’ll build a Tiered Risk Model — a dynamic sizing method that adjusts your trade risk based on clearly defined criteria. Assumes you’ve already nailed Capital at Risk and have edge data per From Data to Edge.
You don’t size up until your system shows health — and even then, you size up gradually, because peak-equity sizing is exactly when mean-reversion of edge costs the most.
Risking 2% on a fresh system = gambling. Risking 2% after 100 trades of positive EV is educated gambling — better, but still gambling. Standard error on win rate at n=100 is still ~5pp, and equity peaks are precisely when mean-reversion bites. Confidence is the lagging indicator. Drawdown after the tier-up is the leading one.
This is the core idea behind Van Tharp’s position sizing models (Definitive Guide to Position Sizing, 2008) and Ed Thorp’s variable-Kelly fractional sizing — anti-Martingale, with statistical gating. See also Aaron Brown, Red-Blooded Risk (2011) on bet-size discipline through confidence intervals.
Two paradigms get blended in practice — keep them separate.
Equity-tiered (anti-Martingale): size up only after the system proves health. Drivers: rolling EV, error rate, drawdown state.
Setup-tiered (confidence): size by pre-trade grade A/B/C — but the grade must be journaled before entry, or you’re just retroactively labeling winners A+ (selection bias).
This lesson combines both: equity tier sets the base %, setup grade sets the multiplier on top.
Five position-sizing paradigms and their characteristic failure modes.
| Approach | Sizes by | Failure mode |
|---|---|---|
| Flat-% | Constant | Doesn't capitalize on edge cycles |
| Anti-Martingale (equity-tiered) | Recent system EV / drawdown | Sizing up at peak = mean-reversion hit |
| Confidence-tiered (setup grade) | Pre-trade A/B/C grade | Retroactive grading = selection bias |
| Martingale (size up after losses) | Recent losses | Ruin in finite time, mathematically |
| Hybrid (this lesson) | Tier x setup multiplier | Compound failure modes if both undisciplined |
Tiered risk is fractional Kelly with statistical gating — see Capital at Risk for the base unit and the f*/Kelly framing in From Data to Edge. Tier-down rules cap your drawdown, which feeds directly into Recovery Factor and Ulcer Index downstream. For drawdown thresholds referenced below, see Max Drawdown Rules.
Four-tier risk ladder: earn your way up, step down on data.
| Tier | Risk per Trade | Requirements |
|---|---|---|
| Tier 0: Caution | 0.25%-0.5% | New strategy, SIM, in drawdown or high emotion |
| Tier 1: Baseline | 0.75%-1.0% | Default for most systems with stable results |
| Tier 2: Confident | 1.25%-1.5% | 50+ trades, EV > 0.4R, win rate stable |
| Tier 3: Scaling | 2.0%-2.5% max | 100+ trades, drawdown ≤ 5%, error-free execution |
You must earn your way up — and step back down if conditions degrade.
Hard ceiling regardless of tier: no single day’s open risk should exceed 2× your tier. At Tier 3 (2.5%), that’s a 5% daily ceiling — past that you’re not tiered, you’re tilted. Prop-firm traders should subtract another 25% to stay under typical 5% daily loss rules.
At the start of each week:
Treat your risk allocation like capital from a fund manager — not your gut.
You can also vary risk within a tier for different setups — but only with pre-trade grading.
Grade setups before entry on 3 axes (1–3 each): location quality, confluence count, market regime fit. Sum 8–9 = A+ (1.5×); 5–7 = Standard (1.0×); ≤4 = B / experimental (0.5× or pass). Log the grade in the journal at entry — retroactive grading invalidates the multiplier.
Pre-trade-journaled setup grade applies a multiplier on top of the tier base risk %.
| Setup Quality | Risk Multiplier |
|---|---|
| Standard setup | 1.0x your tier % |
| A+ setup (journaled) | 1.5x tier % |
| Experimental or B setup | 0.5x tier % or pass |
Example: You’re in Tier 2 (risk = 1.5%); A+ → 2.25%, B → 0.75%. Weighted toward edge — but note: a 3-loss A+ streak (-6.75%) needs a 7.2% gain to recover. Tiering amplifies both directions; that’s the deal.
1.5% tier base × 1.5 A+ multiplier × 3 losses
Asymmetric recovery cost from a compounded drawdown — losing fast costs more than the headline number.
Risk scales by tier: Tier 0 (Caution) is 0.25%–0.5% per trade for new strategies, sim, or drawdown periods; Tier 1 (Baseline) is 0.75%–1.0% for stable systems; Tier 2 (Confident) is 1.25%–1.5% after 50+ trades with EV > 0.4R; Tier 3 (Scaling) caps at 2.0%–2.5% only after 100+ trades, drawdown under 5%, and error-free execution.
Move up only when the rolling 30-trade EV is above 0.3R and within ±1 SD of long-run average (not running hot), drawdown is under 5%, no major journaled discipline errors are present, and the pre-trade emotion log reads neutral or focused. If any one of those breaks, hold the tier.
Anti-Martingale (equity-tiered) sizes up after the system proves health — rolling EV, low error rate, controlled drawdown. Confidence-tiered sizes by pre-trade setup grade (A+/Standard/B). They have different failure modes: anti-Martingale gets hurt by mean-reversion at peak equity; confidence-tiering gets hurt by retroactive grading bias. The hybrid model in this lesson layers a setup multiplier on top of an equity tier — but only with pre-trade journaled grades.
Weekly. Review the trade log at the start of each week, assign a tier based on system and trader performance, and lock the risk % in for the week. Don’t adjust mid-week unless there’s a structural emergency (e.g. an obvious system breakdown or a personal red-flag day).
The rule is: tier up only on logged statistical evidence (rolling EV, error rate, drawdown), tier down on the same evidence reversing. Setup multipliers are layered on top — but only with pre-trade grades. Anything else is just leverage on emotion.