Thursday, September 17, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Cautious Normal choppiness · VIX 15.6
Breadth across the S&P 500 is unusually weak, with the large majority of constituents down double digits over the trailing 30 days and sitting well off their 52-week highs, consistent with a broad market correction. A narrow set of names has bucked the trend with sustained 5-day and 30-day gains while trading within a few percent of their highs, and the candidate list below is deliberately narrower than usual to focus on that genuine, still-intact momentum rather than one-day bounces in beaten-down stocks.
Which of today's picks to actually take, and at what size, given what you are already holding. Each pick's own Suggested Allocation sizes it in isolation; this table applies the portfolio limits — at most 20 open positions and 60% of the portfolio committed in total. Run with --capital 25000 to see these sizes as order amounts rather than percentages.
| Rank | Stock | Action | Size | Entry → Target | Notes |
|---|---|---|---|---|---|
| #1 | SWKS | SKIP | — | $89.73 → $94.89 stop $79.86 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | DELL | SKIP | — | $584.83 → $617.00 stop $521.67 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | TMO | SKIP | — | $658.39 → $692.94 stop $609.66 |
Position cap reached — 82 of 20 slots in use. |
| #4 | MPC | SKIP | — | $422.14 → $443.96 stop $390.90 |
Position cap reached — 82 of 20 slots in use. |
Already open: ABBV (to Sep 19), EOG (to Sep 19), VRTX (to Sep 19), ADP (to Sep 19), MDLZ (to Sep 19), WBD (to Sep 19), BMY (to Sep 20), MSI (to Sep 20), PFE (to Sep 20), BT-A.L (to Sep 20), KDP (to Sep 20), COP (to Sep 23) … and 70 more. Symbols you already hold were excluded from this run's candidates rather than re-picked.
Position-sizing guidance only — half-Kelly per pick, bounded by the limits above. Not personal investment advice.
Skyworks makes chips used in smartphones and other wireless devices, and it's riding a wave of renewed enthusiasm for the semiconductor industry tied to AI and memory-chip demand. The stock is up roughly a third in the past month and still accelerating, comfortably beating the broader market. The main risk is that such an outsized move raises the odds of a sharp give-back if sector excitement cools.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 67%) — adjusted using the accuracy of past resolved picks.
Trade math
Suggested allocation is half-Kelly sizing guidance capped at 10% — not personal investment advice. Allocations are scaled to 70% of half-Kelly for the current market regime.
What each AI analyst estimated
Dell sells computers, servers, and data-center hardware, and has recently benefited from a wave of enthusiasm around AI server demand. The stock has rocketed higher, up more than 20% in a month and accelerating hard in just the last week, far outpacing the broader market. The main risk is that such a fast, large move raises the odds of a sharp pullback, and some large early shareholders have been selling into the rally.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 68%) — adjusted using the accuracy of past resolved picks.
Trade math
Suggested allocation is half-Kelly sizing guidance capped at 10% — not personal investment advice. Allocations are scaled to 70% of half-Kelly for the current market regime.
What each AI analyst estimated
Thermo Fisher makes lab and scientific equipment used across pharma, biotech, and research. Its last quarter showed revenue up 10% and profit growing faster than sales as margins improved, and management says customer demand across its markets is strengthening. The main risk is that the earnings news is nearly two months old and several top executives, including the CEO, have been selling stock steadily.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 63%) — adjusted using the accuracy of past resolved picks.
Trade math
Suggested allocation is half-Kelly sizing guidance capped at 10% — not personal investment advice. Allocations are scaled to 70% of half-Kelly for the current market regime.
What each AI analyst estimated
Marathon Petroleum refines crude oil into gasoline and other fuels. Its latest quarterly profit more than quadrupled year-over-year on much wider refining margins, and the company is investing in upgrades at several refineries while returning billions to shareholders. The main risk is the stock is extremely overbought after a huge one-month rally and sits right at its 52-week high, so a pullback is a real possibility even with strong fundamentals.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 62%) — adjusted using the accuracy of past resolved picks.
Trade math
Suggested allocation is half-Kelly sizing guidance capped at 10% — not personal investment advice. Allocations are scaled to 70% of half-Kelly for the current market regime.
What each AI analyst estimated
This report identifies stocks with an AI-assessed probability of gaining +5% within 30 calendar days (target exit by October 17, 2026). Picks are ranked by how many independent AI agents agreed — more agreement means higher conviction. The guide below tells you exactly how to act on them.
Step-by-Step Action Plan
Position Sizing by Conviction Tier
Size each position according to the coloured border on its pick card. Cap your total exposure across all picks from this report at 25% of your overall trading budget.
| Agents Agreeing | What It Means | Max Allocation Per Pick |
|---|---|---|
| 5/5 | Highest conviction — all five independent analytical checks passed | Up to 10% |
| 4/5 | Very high conviction — four of five independent checks aligned | Up to 8% |
| 3/5 | High conviction — three agents independently agreed | Up to 6% |
| 2/5 | Moderate conviction — two agents independently agreed | Up to 4% |
| 1 Agent | Speculative — solo pick, admitted only at Very High confidence | Up to 2% |
The Three Exit Rules
A plain-English guide to every figure shown on each pick card — what it means, how it is calculated, and what a good or bad value looks like.
Scout scanned 503 S&P 500 constituents and short-listed 20 candidates for deep analysis by the five analysts. Here is what happened to each one.
Checks 30-day price history for every candidate before making any selection. Requires positive period return and positive 5-day momentum as mandatory gates. Ranks picks by proximity to their period high and adjusts probability based on volume. Uses news only to rule out major negative catalysts.
Searches earnings results, analyst upgrades, and revenue trends before checking price data. Requires at least one verifiable fundamental catalyst — earnings beat, analyst upgrade, or revenue acceleration — within the last 60 days. Favours stocks with strong fundamentals trading below recent highs (value entry).
Hunts for specific events within the last 21 days: FDA approvals, major contract wins, product launches, earnings surprises, or significant analyst upgrades. Requires a positive price reaction confirming the market is recognising the catalyst. Also scans for upcoming events that could drive further gains.
Maps the macroeconomic regime (risk-on / risk-off / neutral) and identifies sectors benefiting from current conditions before looking at individual stocks. Only selects stocks from macro-aligned sectors with confirmed sector tailwinds. Adjusts for interest rate sensitivity and geopolitical factors.
Reviews the final picks after all four analysts agree and actively challenges each bull thesis. Searches for bearish technical signals, negative news, insider selling, and elevated short interest that the agreeing agents may have underweighted. Produces evidence-based counter-arguments shown on each pick card.
Pure-quant analyst: no news, no narrative, only numbers. Identifies mean-reversion setups from RSI extremes (<35) with momentum turning, Bollinger squeeze breakouts, and multi-factor quant scores using RSI, MACD, OBV, short interest, and insider transaction data. Counterbalances narrative bias across the four analyst agents.