Today’s model portfolio spans 5 quantitatively-scored trades across our watchlist.
Each position is sized to fit within a $4,000 budget slice. The post below is a deep dive on one of those trades — use the table to explore the others.
Today’s $20,000 Model Portfolio · 5 Trades
| Ticker & Strategy | POP | Max Profit | Contracts | Allocated |
|---|---|---|---|---|
| MUBull Put Spread↗ | 95% | $813 | 1 lot | $3,188 |
| TSLABear Call Spread↗ | 95% | $330 | 2 lots | $2,670 |
| NVDABear Call Spread↗ | 95% | $522 | 9 lots | $3,978 |
| AMDBull Put Spread↗ | 95% | $720 | 2 lots | $3,280 |
| SMHTHIS POSTBull Put Spread | 95% | $600 | 4 lots | $3,400 |
| Portfolio Total | $2,984 | 5 trades | $16,516 (+18.1% if max profit) |
Equal-weight sizing: $20,000 split across 5 trades at $4,000 per position. Contracts = floor(position budget ÷ max risk per contract) so each trade stays within its risk envelope. POP = probability of profit at expiration (model-derived). Max Profit = maximum gain if held to expiration and the spread expires at full profit. Click any row to read the full trade analysis.
Company & Market Context
The VanEck Semiconductor ETF (SMH) is one of the most widely followed benchmarks in the semiconductor sector, offering broad exposure to the world's leading chip designers, manufacturers, and equipment makers. Semiconductors sit at the heart of global technology infrastructure — from data centres and AI hardware to automotive and consumer electronics. SMH is in focus today because its options market is reflecting a notably elevated implied volatility environment, creating conditions where premium sellers can collect meaningful credit while positioning well below current price levels. With the underlying trading near $597, the options pricing model is surfacing a structurally attractive risk-reward setup on the put side of the market.
Why This Trade Setup
A Bull Put Spread is a defined-risk, income-generating strategy that profits when the underlying stays above the short put strike at expiration. By selling a put at a lower strike and buying a further out-of-the-money put as a hedge, the position collects a net credit while capping maximum loss — making it well-suited for traders who want a bullish-to-neutral market view with controlled downside. This setup carries a composite quantitative score of 0.79 — derived from Black-Scholes probability modelling, implied volatility regime analysis, and momentum signals — indicating a high-conviction configuration. With ATM implied volatility running near the upper end of recent ranges, option premiums are elevated, improving the credit collected relative to the risk taken. The strikes are placed with significant distance below the current underlying price, consistent with the model's probability-weighted assessment of where SMH is unlikely to trade by expiration in 16 days. Momentum is currently neutral, which supports a non-directional income posture rather than an aggressive upside bet.
Key Risks
The primary risk in this trade is a sharp, rapid decline in SMH that pushes the ETF below the short put strike before expiration. Semiconductor stocks are sensitive to macro shocks, geopolitical supply-chain disruptions, and sudden shifts in risk sentiment — any of which could compress prices quickly. While the probability of profit is high, it is not a guarantee. Elevated implied volatility can also expand further, temporarily marking the position to a loss even if the final outcome is profitable. Position sizing relative to total portfolio capital is critical to managing this tail risk responsibly.
Ready to explore this trade and hundreds more? Request beta access on QuantMint — institutional-grade quantitative analysis built for individual investors.
Important Disclaimer: This content is generated automatically for informational and educational purposes only. It does not constitute financial advice, a solicitation, or a recommendation to buy or sell any security. Options trading involves significant risk and may not be suitable for all investors. You may lose more than your initial investment. Past performance does not guarantee future results. Always conduct your own due diligence and consult a qualified financial advisor before making any investment decisions. QuantMint is not a registered investment adviser.