Expected Value (EV) Fundamentals - FlashAlpha Documentation
EV Engine EV Fundamentals

EV Fundamentals

Learn how FlashAlpha calculates expected value for options trades and why EV-based trading provides a statistical edge.

What is Expected Value?

Expected Value (EV) is a statistical concept that represents the average outcome of a trade if it were repeated many times. In options trading, EV tells you whether a trade has a positive or negative edge.

Formula:

EV = (Probability of Win × Win Amount) - (Probability of Loss × Loss Amount)

Why EV Matters

Most options traders focus on probability of profit (PoP). But PoP alone doesn't tell the whole story.

Example:

  • • Trade A: 80% PoP, wins $100, loses $500
  • • Trade B: 50% PoP, wins $200, loses $150

Trade A EV: (0.80 × $100) - (0.20 × $500) = -$20

Trade B EV: (0.50 × $200) - (0.50 × $150) = +$25

Despite having a higher probability of profit, Trade A has negative expected value. Over time, Trade B is the better choice.

How FlashAlpha Calculates EV

FlashAlpha uses a multi-step process:

1. Probability Distribution

We model the likely price outcomes for the underlying using:

  • Implied volatility surface
  • Historical volatility
  • Term structure
  • Skew adjustments

2. Outcome Mapping

For each possible price at expiration, we calculate:

  • The P&L of your position
  • The probability of that price occurring

3. Expected Value Integration

We integrate across all outcomes:

EV = ∫ P(price) × PnL(price) dprice

4. Risk Adjustments

Optional adjustments for:

  • Early assignment risk
  • Liquidity/slippage
  • Commission costs

EV Display in FlashAlpha

In scan results, you'll see:

  • EV - Expected value in dollars per contract
  • EV% - Expected value as a percentage of max risk
  • EV/Day - Expected value divided by days to expiration

Color Coding

  • 🟢 Green - Positive EV (favorable)
  • 🟡 Yellow - Near-zero EV (neutral)
  • 🔴 Red - Negative EV (unfavorable)

EV-Based Trading Strategy

The Core Principle

Only take trades with positive expected value. Over a large sample of trades, you will be profitable.

Position Sizing

Size positions based on EV:

  • Higher EV = larger position (within risk limits)
  • Lower EV = smaller position or skip

Diversification

Spread your trades across:

  • Different underlyings
  • Different expirations
  • Different strategy types

This reduces variance while maintaining your EV edge.

Common Misconceptions

"High PoP = Good Trade"

False. A 90% PoP trade can have negative EV if losses are large enough.

"EV Guarantees Profits"

False. EV is a long-term average. Individual trades can still lose. You need sufficient sample size.

"All Positive EV Trades Are Equal"

False. Consider EV%, holding period, and variance. A +$10 EV trade risking $1000 is worse than +$5 EV risking $100.

FlashAlpha
© FlashAlpha. All rights reserved.