How to Rank and Compare Options Spreads - FlashAlpha Documentation
EV Engine Ranking Spreads

Ranking Spreads

With thousands of potential spreads available, how do you choose the best ones? FlashAlpha provides multiple ranking methodologies to match your trading style.

Overview

With thousands of potential spreads available, how do you choose the best ones? FlashAlpha provides multiple ranking methodologies to match your trading style.

Primary Ranking Metrics

Expected Value (EV)

Best for: Maximizing raw dollar returns

Raw expected profit per contract. Higher is better.

Rank by: Highest EV

EV Percentage (EV%)

Best for: Comparing across different position sizes

Expected value as a percentage of capital at risk.

EV% = EV / Max Risk × 100

A $50 EV with $500 risk (10% EV%) is better than $100 EV with $2000 risk (5% EV%).

EV per Day

Best for: Comparing across different time frames

Expected value divided by days to expiration.

EV/Day = EV / DTE

Useful for comparing a 30-day trade vs a 7-day trade.

Sharpe-like Ratio

Best for: Risk-adjusted comparison

EV divided by the standard deviation of outcomes.

Sharpe = EV / StdDev(Outcomes)

Accounts for variance, not just expected return.

Secondary Filters

After ranking, apply filters to refine results:

Probability of Profit (PoP)

  • Conservative: > 70% PoP
  • Moderate: 50-70% PoP
  • Aggressive: < 50% PoP

Max Risk

  • Set absolute dollar limits
  • Or percentage of account

Liquidity

  • Minimum open interest
  • Maximum bid-ask spread
  • Volume thresholds

Greeks

  • Delta range
  • Theta requirements
  • Vega exposure limits

Ranking Presets

FlashAlpha includes pre-built ranking profiles:

Income Focus

Optimizes for:

  • High probability of profit
  • Consistent premium collection
  • Lower variance

Growth Focus

Optimizes for:

  • Maximum EV
  • Higher risk tolerance
  • Larger potential gains

Balanced

Optimizes for:

  • Risk-adjusted returns
  • Moderate PoP
  • Reasonable holding periods

Custom

Create your own weighted ranking formula.

Multi-Factor Ranking

Combine metrics with custom weights:

Score = (w1 × EV%) + (w2 × PoP) + (w3 × Liquidity Score)

Example conservative setup:

  • EV%: 40% weight
  • PoP: 40% weight
  • Liquidity: 20% weight

Example aggressive setup:

  • EV%: 70% weight
  • PoP: 10% weight
  • EV/Day: 20% weight

Practical Tips

Don't Chase the #1 Result

The top-ranked spread might have:

  • Poor liquidity
  • Unusual circumstances
  • Data anomalies

Always review the top 5-10 results.

Consider Diversification

Don't put all capital in the single best trade. Spread across:

  • Multiple underlyings
  • Multiple expirations
  • Multiple strategies

Time Your Entries

High-ranked spreads may still benefit from:

  • Better entry prices (limit orders)
  • Waiting for IV expansion
  • Avoiding earnings dates
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