Tuesday, August 11, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 15.4
The S&P 500 is showing extremely high dispersion: many names posted double-digit single-session and 30-day gains (software, healthcare/life sciences, defense, energy, financials) while several high-profile growth and semiconductor names (TSLA, AMD, AAPL, GOOG/GOOGL, META, MU, INTC, KLAC) sold off sharply. This looks like a volatile, rotation-heavy environment rather than a clean broad-based rally, so selectivity matters more than usual.
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 | ADSK | SKIP | — | $253.86 → $267.82 stop $230.76 |
Position cap reached — 64 of 20 slots in use. |
| #2 | EMR | SKIP | — | $162.62 → $171.83 stop $150.91 |
Position cap reached — 64 of 20 slots in use. |
| #3 | SLB | SKIP | — | $53.56 → $56.51 stop $49.11 |
Position cap reached — 64 of 20 slots in use. |
| #4 | APA | SKIP | — | $40.45 → $42.81 stop $36.49 |
Position cap reached — 64 of 20 slots in use. |
| #5 | LLY | SKIP | — | $1,222.13 → $1,295.46 stop $1,084.03 |
Position cap reached — 64 of 20 slots in use. |
Already open: NTRS (to Aug 13), BNY (to Aug 15), BNY (to Aug 16), USB (to Aug 16), USB (to Aug 18), USB (to Aug 19), VLO (to Aug 19), AFL (to Aug 19), BAC (to Aug 20), MTB (to Aug 20), STT (to Aug 20), CSX (to Aug 22) … and 52 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.
Autodesk makes design and engineering software used by architects, builders, and manufacturers. The company beat expectations, raised its full-year guidance, and — unusually — its CEO, CFO, and other top executives have all personally been buying shares recently, a strong vote of confidence. The main risk is that its next earnings report lands in just over two weeks, which could swing the stock sharply in either direction.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 70%) — 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
Emerson Electric makes automation equipment and software used across manufacturing and industrial plants. The stock has been climbing steadily with strong, healthy momentum and is beating the broader market by a wide margin. The main risk is that such a rapid advance could stall if industrial spending sentiment shifts.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 70%) — 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
SLB (formerly Schlumberger) is one of the world's largest oilfield-services companies. Shares are rising alongside a broader energy-sector rally, with healthy, non-overbought technical readings. The main risk is that energy stocks can reverse quickly if oil prices drop.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 66%) — 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
APA Corporation explores for and produces oil and natural gas. The stock is riding strong upward momentum along with the broader energy rally, and its trend indicators look constructive without being overheated. The main risk is that energy names can drop quickly if crude oil prices weaken.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 74%) — 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
Eli Lilly makes diabetes and weight-loss drugs like Mounjaro and Zepbound, plus a broad range of other medicines. The company just reported blockbuster growth (revenue up 48%) and raised its full-year profit forecast, and unlike many other names on this list its stock hasn't already run up wildly, so there's more room to move. The main risk is that a broad market pullback or any regulatory setback for its weight-loss drug pipeline could hurt shares regardless of the good news.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (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
This report identifies stocks with an AI-assessed probability of gaining +5% within 30 calendar days (target exit by September 10, 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 28 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.