The Mega-Alpha score is a single number — 0 to 100% — that quantifies how favorable a stock is for selling options premium right now. It is the weighted average of seven signals, each normalized to [0, 1], each targeting a different dimension of premium-selling edge.
The score doesn't ask "will this stock go up?" It asks: "Are options on this stock systematically overpriced relative to how much the stock actually moves?" That gap — implied volatility exceeding realized volatility — is the Volatility Risk Premium (VRP), and it's the foundational edge the entire strategy is built on.
Weights sum to 1.0 · Score expressed as a percentage in the UI
Signals are designed to be complementary — no two measure the same thing. VRP and IVP both relate to implied volatility but from different angles: VRP compares IV to recent realized vol; IVP compares IV to its own history. Together they confirm that options are not just expensive in absolute terms, but expensive relative to what the stock actually does.
ATM IV ÷ HV30 · Ratio > 1.5 → max score · Ratio < 1.0 → zero
(ATM_IV − IV_52w_low) ÷ (IV_52w_high − IV_52w_low)
· Estimated from ATM IV vs long-run HV (Tier 1 limitation)
OTM put IV ÷ OTM call IV
· Ratio > 1.4 → max score · Near 1.0 → neutral
1 − (HV10 ÷ HV20) · HV10 << HV20 → high score
−z_score where z = (price − SMA20) ÷ stdev
· z < −1.5 → max score · z > 0 → near zero
PEG ratio or forward P/E (whichever available)
· PEG < 1.0 → high score · PEG > 3.0 → near zero
put/call volume ratio
· Ratio > 1.5 → max score · Ratio < 0.5 → near zero
Gates are hard pass/fail checks applied independently of the score. A ticker can score 80% Mega-Alpha and still be a bad premium sell candidate if it fails critical gates. Gates filter out names with binary event risk, weak fundamentals, or illiquid options — conditions that invalidate the Kelly sizing assumptions.
Gates failing due to data errors default to False (conservative). The tool would rather cause you to miss a trade than enter before an undetected earnings announcement.
| GATE | CRITERION | WHY IT MATTERS |
|---|---|---|
| ROIC | ROE > 12% | Quality filter (ROE used as ROIC proxy). Low-quality businesses with poor returns on capital tend to deteriorate gradually — their stock decays in ways that don't show up in short-term IV. They also lack pricing power to recover from drawdowns. |
| FCF | Free Cash Flow > 0 | Cash-burning companies have binary event risk every quarter: any miss on the path to profitability can gap the stock 20–40%. Positive FCF means the business doesn't depend on capital markets to survive — a key floor when you're short puts. |
| DEBT | Debt/Equity < 1.5× | Over-leveraged balance sheets are vulnerable to credit events, rate moves, and covenant triggers. When credit conditions tighten, highly levered stocks get hit harder than the business fundamentals justify — the kind of gap that overwhelms short-put positions. |
| MARGIN | Gross Margin > 40% | High-margin businesses have pricing power and variable-cost flexibility. They hold up better in downturns because their profitability isn't erased by modest revenue declines. Low-margin businesses (retail, hardware) can swing from profitable to loss-making quickly. |
| VALUE | Forward P/E < 25× | Expensive stocks (high-growth, momentum-driven) have further to fall when sentiment shifts. A stock at 60× forward earnings needs things to go right for years — any disappointment compresses the multiple, not just the earnings. Cheaper stocks have a nearer fundamental floor. |
| LIQUIDITY | Options Volume > 1,000/day | Minimum liquidity for fair execution. Low-volume options have wide bid/ask spreads that erode the theoretical premium before you even execute. You need enough activity to get close to mid-market on entries and exits. |
| NO BINARY | No earnings within 35 days | The most important gate. Earnings announcements regularly move stocks 5–15% overnight. This is a known binary event with an unknown direction — it's not a risk that IV compensation covers because the realized move often exceeds the implied move. Never hold short premium through earnings. |
The tool selects a trade structure automatically based on Mega-Alpha score and IVP score. Higher alpha + higher IV percentile = more aggressive structure. The logic: when IV is historically elevated (high IVP), naked or near-naked structures have more cushion because the IV crush on a trade that goes right is larger. When IV is moderate, defined-risk structures protect against the scenario where IV expands further against you.
| CONDITION | STRUCTURE | DELTA TARGET | RATIONALE |
|---|---|---|---|
| Alpha ≥ 60% AND IVP ≥ 70% | Naked Put / CSP | 25–30Δ | Strongest setup with elevated IV. Maximum premium collection. Full exposure to downside if wrong, so quality gates matter most here. |
| Alpha ≥ 60% | Put Credit Spread | 20–25Δ | Strong setup but IV not elevated enough to justify unlimited risk. Defined downside with good premium. Best risk-adjusted structure in most markets. |
| Alpha ≥ 45% AND IVP ≥ 60% | Short Strangle | 15–20Δ | Moderate setup with elevated IV. Collects premium on both sides. Higher risk than a spread — requires vigilance on both the upside and downside. |
| Alpha ≥ 45% | Iron Condor | 15Δ | Moderate setup, average IV. Fully defined risk. Collects premium on both sides with wings that cap the loss. Ideal when IV is just elevated enough to make a condor worthwhile. |
| Alpha ≥ 35% | Wide Iron Condor | 10Δ | Marginal setup. Very wide wings to minimize assignment risk. Low credit but defined risk. Only worth considering for highly liquid names. |
| Alpha < 35% | No Trade | — | Insufficient edge. The credit collected doesn't justify the risk. Wait for an IV expansion event or look elsewhere. |
Kelly criterion answers: "What fraction of your portfolio should you risk to maximize the long-run growth rate of your capital?" Over-betting Kelly guarantees eventual ruin. Under-betting is suboptimal but safe. The tool applies a 40% safety discount and hard cap to account for model uncertainty.
q = 1 − p (loss probability)
b = net premium ÷ net max loss
f* < 0 means no edge at these terms
Hard cap at 5% of portfolio
Applied because p is model-estimated,
not empirically calibrated
Position sizing inputs are computed automatically using Black-Scholes (~30 DTE). The tool finds the put/call strikes matching your delta target via binary search, prices those options, and computes net credit and max loss per the structure's loss assumptions. Wing width for spreads = 5% of stock price, rounded to nearest $5.
The tool is a research and sizing aid, not a trading system. Understanding what it can't do is as important as understanding what it can.
| LIMITATION | DETAIL |
|---|---|
| IVP Approximation | True IV percentile requires a historical IV time series. The tool estimates IVP from ATM IV vs long-run historical vol — a proxy, not a true percentile rank. A Tier 2 data source (Tradier, CBOE) would improve this significantly. |
| p is model-estimated | Win probability comes from the AI or mock profiles, not from historical outcomes on this strategy. It encodes reasonable assumptions but isn't calibrated to actual trade P&L. Treat sizing as directional guidance, not precision. |
| Flat vol surface | Black-Scholes pricing uses ATM IV for all strikes. The real vol surface is skewed — puts are priced higher than ATM. OTM put premium estimates are slightly understated; OTM call estimates slightly overstated. |
| Weights are opinion | Signal weights (VRP 25%, IVP 20%, etc.) are grounded in research but not empirically optimized to backtested P&L. The tier structure is well-supported academically. The specific percentages are judgment calls. |
| 15-min delayed data | All market data comes from yfinance (free tier, 15-minute delay). Real-time execution requires live quotes from a broker. Never place orders based solely on tool output without checking current prices. |