Quant Scorecard — Trade Quality Score

Score any options-income candidate 0-100 across 8 risk-aware sub-scores: premium edge vs model fair value, liquidity, IV/RV richness, event safety, tail risk, trend fit, portfolio fit, and position sizing. Designed to avoid the trap of ranking by annualized yield alone. Educational only — not investment advice.

Trade input

Ticker Strategy Strike Expiration (YYYY-MM-DD) Credit per share ($)

Account constraints

Account size ($) Max risk per trade (% of account) Max capital per ticker (% of account)

Pulls live Polygon snapshot + 380 days of bars + recent 8-K filings. Cold call: 5-15s. Educational only.

Enter a trade and click Compute scorecard to see the 0-100 Trade Quality Score and full sub-score breakdown.

How the Trade Quality Score works

The score is a weighted composite of 8 independently-computed sub-scores:

Premium Edge (20%) — market credit vs Black-Scholes model fair value after estimated slippage.
Liquidity (15%) — bid-ask spread, open interest (lagged 1 day), day volume.
Volatility Richness (15%) — current IV vs 20-day realized vol, regime (low/normal/elevated/extreme).
Event Safety (15%) — penalizes earnings, ex-dividends, and macro events inside the trade window.
Tail Risk (10%) — historical worst-1d/5d move, expected shortfall at 95%, gap-through-breakeven probability.
Trend Fit (10%) — SMA20/50 alignment, recent momentum, strike vs recent support/resistance.
Portfolio Fit (10%) — existing exposure (currently stubbed; real in Phase 3).
Position Sizing (5%) — bad-case loss per contract vs your max risk per trade.

Labels: 80-100 Strong · 65-79 Reasonable · 50-64 Caution · below 50 Avoid. The score is not a buy/sell recommendation — it is a research aid that surfaces structural quality, risk, and sizing fit at a glance.

Disclaimer

OptionIncomeTools provides educational tools for research, not personalized investment advice. Options involve risk and are not suitable for all investors. Trade Quality Scores, fair value estimates, expected values, position-sizing suggestions, and management labels are model-based estimates derived from delayed market data; they are not predictions or guarantees. High annualized yield may indicate elevated risk. Past performance does not guarantee future results. Assignment, liquidity gaps, volatility shocks, and event-driven moves can cause losses larger than modeled. You are responsible for your own trading decisions; consult a licensed financial advisor for your specific situation.