Position Sizing Models in Trading

Position Sizing Models in Trading (Advanced): Fixed Fractional, Volatility, Kelly & Risk Caps
Advanced • Risk-first • Drawdown-aware

Position Sizing Models

Strategy is only half the game. Your position sizing model controls how much you risk, how deep your drawdowns can go, and how stable your compounding becomes. This module breaks down professional sizing models and shows you a workflow you can execute.

On this page

Pick a model → apply caps → adapt to volatility

1) What Position Sizing Really Controls

Position sizing is how you convert edge into outcomes. It controls the volatility of your equity curve, the depth of drawdowns, and how likely you are to survive losing streaks.

Sizing defines loss per trade and portfolio exposure—your statistics depend on keeping it consistent.
Volatility chart representing changing market speed
Volatility changes: fixed lots increase risk when markets accelerate.
Planning and rules representing disciplined execution
Sizing must be systematic—otherwise your backtests won’t match live results.
Trading journal representing performance review and tracking
Review exposure weekly: open risk, correlation, and drawdown are your guardrails.

Normalize

  • Risk per trade (percentage of equity)
  • Risk unit (R): stop distance defines 1R
  • Exposure across correlated trades
  • Volatility regime (ATR / realized volatility)

Cap

  • Max daily/weekly loss
  • Max open risk (sum of risks)
  • Max correlation / same-direction exposure
  • Risk reduction during unstable regimes

2) Core Position Sizing Models

Choose one base model and keep it stable. Then add caps and regime rules. Professionals prefer robust and boring over clever and fragile.

Fixed Fractional (risk %)

Risk a fixed % of equity per trade (e.g., 0.25%–1%). Position size changes with stop distance.

Size = (Equity × Risk%) ÷ StopValue
Default pro baseline
Why it’s robust

Simple, stable, and easy to execute. Works well when combined with max open risk and correlation caps.

Add-on: exposure caps
Typical pitfall

Using fixed lots instead of fixed risk. Your true risk becomes random across volatility regimes.

Fix: stop + % rule
Pro rule: define stop logic first. Your stop defines the risk unit (1R).
Volatility Sizing (ATR)

Adjust stop distance using ATR (or realized volatility). Size reduces when volatility expands.

Stop ≈ k × ATR → Size = (Equity×Risk%) ÷ StopValue
Best for volatile markets
Why it helps

Volatility regimes shift. ATR-based sizing helps keep effective risk stable and reduces blow-ups in fast markets.

Add-on: regime filters
Watch-outs

ATR is lagging. Use smoothing and avoid reacting to single spikes without confirmation.

Fix: smoothing + caps
Pro rule: volatility sizing does not replace caps—use both.
Kelly Criterion

Theoretical optimal growth sizing under stable edge assumptions. Can be highly aggressive.

Kelly f* ≈ p − (q / b) (simplified)
Use with caution
Fractional Kelly

Common professional approach: use 0.25× or 0.50× Kelly to reduce drawdown volatility.

Pro: lower variance
Main risk

Estimation error. If your win rate or payoff is misestimated, Kelly oversizes quickly.

Fix: fractional + caps
Pro rule: never apply full Kelly unless your edge is exceptionally stable and well-measured.
Drawdown-Scaled Risk

Reduce risk as drawdown increases. This stabilizes equity and improves survivability during bad periods.

Risk% = BaseRisk% × (1 − DD / DDmax)
Strong defense model
Why it’s used

Prevents emotional over-sizing during a drawdown. Your system naturally “de-levers” when under pressure.

Add-on: stop trading threshold
Trade-off

Recoveries can be slower. Use it as a stabilizer, not a way to ignore a broken system.

Fix: regime review
Pro rule: pair drawdown scaling with a diagnostic review (expectancy by segment).

3) Model Comparison

Pick a base model and then apply caps. Pros prioritize robustness and execution consistency.

Model Strength Main risk Best with
Fixed Fractional Simple, stable, easy to execute Ignores volatility unless stops adapt Max open risk + correlation caps
Volatility (ATR) Adapts to market speed Lagging; sensitive to spikes Smoothing + strict caps
Kelly Max growth (theory) Aggressive under estimation error Fractional Kelly + hard limits
Drawdown-Scaled Protects capital in bad streaks Slower recovery Clear stop-trading rules

4) Mini Position Sizing Calculator

Quick fixed-fractional sizing (education). Input your equity, risk %, and stop value per unit. Always verify contract specs with your broker/platform.

Inputs

Risk Amount $0.00 Equity × Risk%
Position Size 0.00 Risk Amount ÷ StopValue
Max Open Risk ($) $0.00 Portfolio cap for multiple positions
Rule Cap exposure Sum open risk across correlated trades

5) Pro Sizing Workflow

Repeatable process

  • Pick base model: fixed fractional is the default
  • Define stop logic: stop defines 1R
  • Apply caps: max open risk + correlation limits
  • Regime rules: risk down in high volatility/transition
  • Weekly review: drawdown, exposure, rule breaks

Practical constraints (guideline)

  • Risk per trade: 0.25%–1%
  • Max open risk: 2–4× single-trade risk
  • Max daily loss: hard stop
  • Correlation cap: no stacked exposures
  • Drawdown rule: reduce risk or pause
Market chart representing volatility regimes and risk control
Sizing + caps is how you survive variance while compounding over time.

6) Common Mistakes

Fixed lots (not fixed risk)

Your real risk changes across volatility regimes. This is a common blow-up pattern.

Fix: % risk
No portfolio caps

Multiple trades can stack exposure. Correlations turn “diversification” into one big bet.

Fix: max open risk
Emotional scaling

Increasing size after wins breaks your statistics and increases drawdown volatility.

Fix: rules only

7) FAQ

Is 1% risk per trade always safe? +

It depends on strategy volatility, frequency, and correlation. Many traders prefer 0.25%–0.75% when markets are unstable or frequency is high.

Should I use Kelly? +

Use fractional Kelly or avoid it unless your edge is stable and well-measured. Fixed fractional with caps is usually more robust.

How do I size multiple open positions? +

Sum open risks across all positions, especially correlated ones, and keep total exposure below a max open risk limit.

Risk Disclaimer:
Trading in financial markets involves significant risk and is not suitable for all investors. Past performance is not indicative of future results. This content is for educational purposes only and does not constitute investment advice. Always verify instrument specifications (contract size, pip value, tick value) with your broker/platform.
Position Sizing Models
Risk-first sizing. Cleaner compounding.
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