Today’s model portfolio spans 4 quantitatively-scored trades across our watchlist.
Each position is sized to fit within a $5,000 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 · 4 Trades
| Ticker & Strategy | POP | Max Profit | Contracts | Allocated |
|---|---|---|---|---|
| AMDBull Put Spread↗ | 95% | $1,072 | 3 lots | $4,928 |
| INTCTHIS POSTBear Call Spread | 95% | $1,020 | 12 lots | $4,980 |
| SLVBear Call Spread↗ | 95% | $616 | 112 lots | $4,984 |
| METABear Call Spread↗ | 95% | $495 | 3 lots | $4,005 |
| Portfolio Total | $3,204 | 4 trades | $18,896 (+17.0% if max profit) |
Equal-weight sizing: $20,000 split across 4 trades at $5,000 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
Intel Corporation (INTC) is one of the world's largest semiconductor manufacturers, designing and producing processors, chipsets, and integrated circuits across consumer, enterprise, and data centre markets. The Technology sector broadly has seen elevated implied volatility in 2026, and Intel is no exception — its options market is currently pricing in an unusually wide range of outcomes. With the underlying trading in the mid-$120s and momentum reading as neutral, the stock is not exhibiting a strong directional trend. This combination of elevated implied volatility and range-bound price action creates a well-defined environment for premium-collection strategies that benefit from time decay and a stable-to-declining price.
Why This Trade Setup
A Bear Call Spread is a defined-risk, credit-generating strategy constructed by selling a call at a higher strike and buying a further out-of-the-money call to cap potential losses. This structure expresses a view that Intel will remain below the short strike through expiration — a modest, probability-weighted directional lean rather than an aggressive directional bet. What makes this setup compelling from a quantitative standpoint is the significant distance between the current underlying price and the short strike, reflected in a composite quantitative score of 0.81 — derived from Black-Scholes probability modelling, implied volatility regime analysis, and momentum factors. With ATM implied volatility running near historically elevated levels, option premiums are rich, allowing the spread to collect meaningful credit relative to the width of the strikes. The 16-day expiration window keeps theta decay working efficiently in the position's favour. Within a $5,000 position allocation on a $20,000 illustrative portfolio, 12 contracts are deployed, keeping total capital at risk well within the defined allocation.
Key Risks
- Sharp upside move: A sudden rally in INTC above the short strike — driven by an earnings surprise, sector rotation, or macro catalyst — would put the spread in jeopardy and could result in the maximum loss on the position.
- Volatility expansion: While elevated implied volatility benefits the initial credit received, a further spike in volatility before expiration can increase the mark-to-market loss on the position mid-trade.
- Early assignment risk: Although limited with a spread structure, the short call leg carries theoretical early assignment risk if the stock moves deep in-the-money.
- Liquidity risk: Wide bid-ask spreads in individual legs can erode the net credit received at entry or exit.
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.