Inputs that should determine size
- the strategy’s net expectancy and uncertainty;
- the distribution of wins and losses, not only averages;
- observed and simulated losing streaks;
- stop distance, gap risk, and likely slippage;
- trade frequency and simultaneous positions;
- correlation and risk per trade idea;
- the trader’s financial and psychological tolerance;
- daily, overall, or trailing loss rules;
- the consequences of an incorrect model estimate.
Drawdown example
With fixed-fractional sizing, ten consecutive full losses produce approximately:
The calculation assumes each loss equals the planned risk and ignores gaps, slippage, fees, and simultaneous exposure. Real losses can be larger.
A decision process
1
Define the account failure boundary
Use the tighter of personal loss tolerance, capital requirement, and any external rule.
2
Reserve operational capacity
Subtract room for costs, gaps, calculation error, and open-position movement.
3
Estimate adverse sequences
Use historical analysis and Monte Carlo scenarios, including dependence where relevant.
4
Allocate by idea
Divide capacity across independent theses rather than merely across tickets.
5
Start smaller
Increase only through a documented review supported by live evidence, not because of recent wins.
Prop-account example
A USD 100,000 account has USD 4,000 remaining before its maximum-loss threshold and USD 700 before its personal daily stop. Existing positions can lose USD 350 at their stops. After a USD 100 reserve for costs and slippage, only USD 250 of daily capacity remains. Sizing the next trade as 1% of nominal balance would imply $1,000 of risk and is clearly incompatible with the available buffer. The binding limits, not the headline balance, govern the trade.Position sizing
Turn the chosen monetary risk into trade size.
Risking 1% vs 5%
Compare drawdown behavior under two sizing choices.
Risk of ruin
Connect size to failure probability.
Daily vs maximum loss
Identify the binding prop-account constraint.
This page provides a framework, not a personalized risk percentage or investment recommendation.