2002issue C091-5
A constant percent risk bound beats a higher win rate
A 16-trade historical sample held capital at 100000 and treated every loss as the full planned risk amount. Keeping that loss at 2 percent of capital produced stronger period returns at the same skill levels than allowing 10 percent losses, while large gains in win-loss ratio were presented as slow and hard to sustain.
- A constant percent risk rule sizes every trade so a stop-loss hit costs the same share of trading capital, applied before entry and held through the position.
- Raising the win-loss ratio from 50 percent to about 81 percent lifted period return from 21.7 percent to 41.6 percent only while risk stayed capped at 2 percent, and the source presents that skill jump as slow and hard to sustain.
- At a 62.5 percent win-loss ratio, 10 percent losses produced a 19 percent period loss, while cutting planned risk to 5 percent and then 2 percent flipped the same skill level to a 14 percent profit and then a 29 percent profit.
- The illustrated professional end-state still keeps planned risk at 2 percent or less. A 10 percent loss budget stayed a failure path below an 81.2 percent win-loss ratio.
A planned loss that stays a fixed share of capital
A 16-trade historical sample held trading capital fixed at 100000, counted only realized closed-trade results, and treated every loss as the full planned risk amount.
Constant percent risk sizes every trade so the planned loss, if the stop-loss is hit, is always the same percentage of current trading capital. In that sample, a constant 2 percent risk rule meant a 2000 loss on every losing trade, while a 10 percent risk rule meant a 10000 loss.
A stop-loss is a pre-set exit that closes a losing trade so the loss cannot expand beyond that planned share of trading capital. The bound is set before entry and held through the position.
A higher win-loss ratio was the slower lever
Win-loss ratio is used here only as a skill-level label, not as a target to optimize first. It is the share of closed trades that finish profitable.
Raising the win-loss ratio from 50 percent to about 81 percent improved period return from 21.7 percent to 41.6 percent when risk stayed capped at 2 percent. The source presents that jump as slow and hard to sustain.
A 62.5 percent win-loss ratio with 2 percent risk produced a 28.8 percent period return. The same skill level turned into a 19 percent loss when each losing trade was allowed to consume 10 percent of capital.
At that 62.5 percent skill level, cutting risk from 10 percent to 5 percent and then to 2 percent flipped results from a 19 percent loss to a 14 percent profit and then to a 29 percent profit.
Five percent risk is what first turned results profitable
Only the highest illustrated skill level, an 81.2 percent win-loss ratio, still finished positive after 10 percent losses. Even then the period return was only 17.6 percent, versus 32.6 percent at 5 percent risk and 41.6 percent at 2 percent risk.
The source argues that pairing skill improvement with a stop-loss discipline that keeps each loss to 5 percent of capital is what first moves a trader into profitable results. Continuing to allow 10 percent losses remains a failure path below the top skill level.
The illustrated professional end-state is not a larger loss budget. Once skill is high enough to survive 10 percent losses, the same discipline still keeps planned risk at 2 percent or less.
All readings on this track · 24 readings
- 1985Forced-close odds from monthly edge and leverage
- 1986Constructing a pre-entry risk filter on price-ratio grids
- 1991Ratchet the halt floor and stage exposure against cash
- 1992Sizing capital from degraded records and volatility
- 1992Filter size by expected value and ruin
- 1995Risk of ruin as a pre-entry position filter
- 1995Filter leverage by sequence-loss odds
- 1996Grading track records by drawdown, expected value, and ruin
- 1998When quieter returns lose their survival edge
- 1999Loss response versus a precommitted trading process
- 1999Reauthorize ruin and drawdown filters after a winning stretch
- 2000Sold premium, survivorship, and ruin bounds
- 2001Monte Carlo drawdown risk and volatility position sizing
- 2001Alertness is a size filter, not a mood
- 2002A constant percent risk bound beats a higher win rate
- 2010Risk of ruin with fractional and reserve betting
- 2014Payout identity, expectancy, and path-dependent ruin
- 2015Spreading names is not a substitute for a ruin bound
- 2015Prestige labels versus one testable trade procedure
- 2015Closed-trade quality screens before sizing risk
- 2019Size mini futures from drawdown and leftover margin
- 2019Starting account size as a survival filter
- 2019Pre-entry ruin and volatility caps for short options
- 2020Forced margin, stop-loss, and ruin risk in 2020