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Pricing

Research method

Expected value

Expected value is a canonical archive-taxonomy method; this registry entry defines its inputs, output and use boundary.

Output
Research filter
Input
Account equity, volatility, stop distance and exposure
Horizon
Before entry and throughout the position
Best use
Keep a loss or exposure decision bounded before a trade is placed.

Registry evidence level: replicated. This is a navigation record, not a performance claim.

  • Input: Account equity, volatility, stop distance and exposure.
  • Output: filter.
  • Use boundary: Keep a loss or exposure decision bounded before a trade is placed.
The graph5

How the method is built, and where it has been read

Depends on

Read in the archive24 of 61 readings

1982Three gates for a futures book: equity risk, expected value, and shrinking pyramidsSizing and leverage1985Forced-close odds from monthly edge and leverageDrawdown and survival1988Name the stop, then decide if the account can payDrawdown and survival1988Modified-martingale progression lists and ruin boundsSizing and leverage1988Empirical price-change counts versus borrowed statisticsStatistical tests1990Constructing optimal f when trade sizes differSizing and leverage1991Growth-adjusted earnings years as construction filtersPortfolio construction1992Filter size by expected value and ruinSizing and leverage1994Market life expectancy as a risk filterStops and loss limits1994Selecting option expiration and strike by expected valueOptions and volatility1995A pre-trade checklist that bounds loss before the orderDecision process1996Grading track records by drawdown, expected value, and ruinDrawdown and survival1998Ledger audit of exits, payoff, and overlapDecision process1998A return-to-loss filter for drawdown-aware evaluationDrawdown and survival1999Pre-trade size filters for expectancy and ruinSizing and leverage2000Pair historical volatility with return-to-loss filtersOptions and volatility2001Credit-spread construction that can fail before any order is sentOptions and volatility2001A runs test before volatility and expected-value sizingSizing and leverage2002Monte Carlo equity paths from win rate and profit factorSystem design2002Evaluating mechanical systems in a traders marketSystem design2002Trade-count horizon for equity-curve survivalDrawdown and survival2002Profitability as a bound implied by RWL and commissionSystem design2003Share size from daily profit equilibriumSizing and leverage2004A day-trading breakeven matrix for size and win rateSizing and leverage
This registry entry describes a research method. It is not investment advice and does not make a performance claim.