Wednesday, August 12, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Calm market · VIX 14.8
The index shows unusually wide dispersion: many names are sitting on strong, multi-week uptrends near their 52-week highs (energy refiners, cybersecurity, select healthcare/med-tech, industrials), while other former leaders (mega-cap ad-tech, autos, several chipmakers) have suffered sharp breakdowns. Momentum is real but concentrated in specific pockets rather than broad-based, arguing for selective, catalyst-driven picks over an index-wide bullish stance.
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 | DXCM | SKIP | — | $89.02 → $93.72 stop $81.45 |
Position cap reached — 60 of 20 slots in use. |
| #2 | CRWD | SKIP | — | $223.43 → $235.50 stop $202.20 |
Position cap reached — 60 of 20 slots in use. |
| #3 | MRK | SKIP | — | $132.34 → $139.64 stop $123.47 |
Position cap reached — 60 of 20 slots in use. |
| #4 | MPC | SKIP | — | $339.20 → $357.94 stop $306.64 |
Position cap reached — 60 of 20 slots in use. |
| #5 | DRI | SKIP | — | $220.46 → $231.48 stop $209.66 |
Position cap reached — 60 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), MTB (to Aug 20), STT (to Aug 20), CSX (to Aug 22), WAB (to Aug 22), CSX (to Aug 22), HON (to Aug 22) … and 48 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.
DexCom makes continuous glucose monitors used by people with diabetes. Its stock has been climbing steadily and outpacing the broader market, supported by healthy technical signals. The main risk is that this kind of run can reverse quickly if the overall market pulls back or if there's unexpected regulatory news.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 69%) — 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
CrowdStrike sells cloud-based cybersecurity software. Its stock has had a strong run and continues to outperform the market amid steady demand for security tools. The key risk here is that the company reports earnings within the next month, which could cause a big price swing before the 5% target is reached.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 69%) — 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
Merck is a major pharmaceutical company with a broad drug portfolio. Its shares have been rising and technical indicators point to a possible breakout as trading ranges tighten. The main risk is that its outperformance versus the market is more modest than other picks, so momentum could fade faster if conditions change.
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
Marathon Petroleum operates oil refineries and a large pipeline business. It just reported an extraordinary jump in profit driven by strong fuel margins, and it returned nearly $3 billion to shareholders in a single quarter. The main risk is the same cyclical one facing all refiners: fuel margins can shrink quickly if market conditions shift.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (raw model estimate: 65%) — 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
Darden owns popular restaurant chains like Olive Garden and LongHorn Steakhouse. Its stock has been climbing steadily and outperforming the market, backed by healthy (not overheated) technical signals and one of the safest risk profiles in this group. The main risk is that any pullback in consumer spending or a broader market dip could stall the rally.
Why the AI likes it
What could go wrong
Calibrated probability: 73% (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 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 11, 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.