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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.
Entries in this reading3 entries

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.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
15 of 24 in the Risk of ruin track
201024-26 pp.Next on Risk of ruinRisk of ruin with fractional and reserve bettingRisk of ruin is the probability that account equity reaches a defined failure level given win size, loss size, win rate, starting equity, and a success threshold.
All readings on this track · 24 readings
  1. 1985Forced-close odds from monthly edge and leverage
  2. 1986Constructing a pre-entry risk filter on price-ratio grids
  3. 1991Ratchet the halt floor and stage exposure against cash
  4. 1992Sizing capital from degraded records and volatility
  5. 1992Filter size by expected value and ruin
  6. 1995Risk of ruin as a pre-entry position filter
  7. 1995Filter leverage by sequence-loss odds
  8. 1996Grading track records by drawdown, expected value, and ruin
  9. 1998When quieter returns lose their survival edge
  10. 1999Loss response versus a precommitted trading process
  11. 1999Reauthorize ruin and drawdown filters after a winning stretch
  12. 2000Sold premium, survivorship, and ruin bounds
  13. 2001Monte Carlo drawdown risk and volatility position sizing
  14. 2001Alertness is a size filter, not a mood
  15. 2002A constant percent risk bound beats a higher win rate
  16. 2010Risk of ruin with fractional and reserve betting
  17. 2014Payout identity, expectancy, and path-dependent ruin
  18. 2015Spreading names is not a substitute for a ruin bound
  19. 2015Prestige labels versus one testable trade procedure
  20. 2015Closed-trade quality screens before sizing risk
  21. 2019Size mini futures from drawdown and leftover margin
  22. 2019Starting account size as a survival filter
  23. 2019Pre-entry ruin and volatility caps for short options
  24. 2020Forced margin, stop-loss, and ruin risk in 2020
All 48 readings tagged Risk of ruin
Also on Risk of ruin5 readings