Tuesday, September 8, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 15.3
The broader index shows widespread weakness, with most constituents down double digits from their 52-week highs and negative 30-day returns, suggesting a market-wide correction or rotation. However, several distinct pockets show genuine sustained strength: energy refiners near 52-week highs on strong crack spreads, AI-infrastructure and memory-chip names on datacenter demand, and select agriculture/fertilizer and defensive healthcare names showing multi-week momentum rather than one-day noise.
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 | INTC | SKIP | — | $105.56 → $111.06 stop $94.79 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | MOS | SKIP | — | $26.38 → $27.70 stop $24.11 |
Position cap reached — 116 of 20 slots in use. |
| #3 | VST | SKIP | — | $153.67 → $161.37 stop $138.61 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #4 | MPC | SKIP | — | $396.76 → $417.45 stop $357.08 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
Already open: WAT (to Sep 9), LLY (to Sep 10), DRI (to Sep 11), DXCM (to Sep 11), BDX (to Sep 12), BLK (to Sep 12), EXPD (to Sep 13), FDX (to Sep 13), CPAY (to Sep 16), GPN (to Sep 16), STT (to Sep 16), RR.L (to Sep 16) … and 104 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.
Intel designs and manufactures computer chips and is in the middle of a turnaround effort. Its stock has been climbing steadily, and a strong vote of confidence came when the CEO personally bought $10 million of stock in August. The main risk is that Intel is still working through real business challenges, so the rally could stall if turnaround progress disappoints.
Why the AI likes it
What could go wrong
Calibrated probability: 65% (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 85% of half-Kelly for the current market regime.
What each AI analyst estimated
Mosaic is one of the world's largest producers of crop fertilizers. Its stock has been climbing steadily as fertilizer prices strengthen, holding up even while much of the broader market has struggled. The main risk is that the company's earnings have been inconsistent, and the stock is nearing overbought levels where a near-term breather would be normal.
Why the AI likes it
What could go wrong
Calibrated probability: 65% (raw model estimate: 61%) — 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 85% of half-Kelly for the current market regime.
What each AI analyst estimated
Vistra is a power-generation company that sells electricity, including to the data centers powering the AI boom. Its stock has been trending higher on the idea that surging AI electricity demand benefits power producers. The main risk is that Vistra's earnings history has been shaky, so the current optimism could be tested at the next report.
Why the AI likes it
What could go wrong
Calibrated probability: 65% (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 85% of half-Kelly for the current market regime.
What each AI analyst estimated
Marathon Petroleum runs oil refineries that turn crude oil into gasoline, diesel and jet fuel. The company just reported spectacular results — profit was more than four times higher than a year ago thanks to wide margins on refined fuel — but the stock has already jumped over 30% in a single day and looks quite stretched in the short term. The main risk is that this good news is already reflected in the price, so a pullback is possible even though the underlying business is strong.
Why the AI likes it
What could go wrong
Calibrated probability: 65% (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 85% 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 8, 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 30 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.