Optimal f (Ralph Vince)
Optimal f is the fraction of the largest historical loss, relative to equity, that maximizes the compound growth of a series of trades when the size of each position is scaled to that fraction. Introduced by Ralph Vince in 1990, it generalizes the Kelly idea to trade results of any size, and it is known for producing very large drawdowns.
Senzoukria · Glossary · Updated September 2026
At a glance
- Holding period return
- HPRᵢ = 1 + f × (−tradeᵢ ÷ largest loss)
- Objective
- Maximize TWR = product of all HPRᵢ
- Size
- Contracts = equity ÷ (|largest loss| ÷ f)
- At f
- A repeat of the largest loss costs f of equity
Definition
Take the list of results per contract and its largest loss W, a negative number. For a candidate fraction f between 0 and 1, each trade becomes a holding period return 1 + f × (−tradeᵢ ÷ W): the largest loss becomes a loss of exactly f, and every other trade is scaled in proportion. The terminal wealth relative, TWR, is the product of all holding period returns. Optimal f is the value of f that makes the TWR largest. It is then turned into a size by allocating one contract per |W| ÷ f dollars of equity.
A worked example
Ten trades per contract: +400, −200, +300, −100, −200, +500, −150, +250, −200, +100. Net +700, largest loss −200. Scanning f gives an optimum near 0.24, with a TWR of about 1.49: equity would have grown 49% over the ten trades at one contract per 200 ÷ 0.24 ≈ 833 dollars. At f = 0.10 the TWR is about 1.31. At f = 0.50 it falls to about 0.94, a loss, although every trade list is identical. At f = 0.75 it is about 0.17, and at 0.90 about 0.01.
The shape is the lesson: growth rises slowly up to the optimum and collapses beyond it, so an estimation error on the high side costs far more than one on the low side.
Limits
- The largest historical loss is a sample statistic; a future loss larger than W costs more than f of equity.
- Optimal f is fitted to the past sequence and inherits all its sampling error.
- The drawdowns at optimal f are severe: at f = 0.24, two repeats of the worst loss in a row remove about 42% of equity.
- It ignores account rules such as daily loss limits and drawdown floors, which usually bind long before the optimum.
In Senzoukria
The desktop does not compute optimal f. The Performance panel shows a Kelly fraction derived from the win rate and the payoff ratio, with the hint that it is theoretical and assumes independent trades, which is rarely true within a session. Neither figure drives order size: quantities come from the order ticket, the script's decisions or the autopilot's capped settings.
Related
In the same section
- Option bid-ask spread
- OPRA
- Option chain
- Opening vs closing
- Contract multiplier
- Opening range
- Option delta
- Opening gap
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Frequently asked questions
- Is optimal f the same as the Kelly criterion?
- They share the goal of maximizing compound growth. Kelly is derived for bets with fixed win and loss sizes; optimal f works directly on a list of trade results of varying size, scaled by the largest loss. On simple two-outcome bets they lead to the same growth-optimal sizing.
- Why do traders use a fraction of optimal f?
- Because the growth curve is flat just below the optimum and falls steeply above it, while drawdowns shrink quickly as f decreases. Trading at a fraction gives up little growth in exchange for much smaller declines and some protection against having overestimated the edge.