Monday, August 24, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 15.8
The index shows a sharp rotation: AI-infrastructure names, semiconductors, and memory/storage stocks (NVDA, AMD, AMAT, LRCX, MU, WDC, STX, SNDK, CRWV, NBIS) are selling off hard over the last five days despite decent 30-day gains, while consumer staples, healthcare, payroll/HR software, and select mega-cap tech are grinding to or near 52-week highs with sustained positive 5-day and 30-day momentum. Overall breadth is mixed rather than broadly risk-on, so selectivity matters more than index-wide exposure.
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 | ADBE | SKIP | — | $277.31 → $292.56 stop $255.96 |
Position cap reached — 95 of 20 slots in use. |
| #2 | GOOGL | SKIP | — | $350.10 → $367.60 stop $323.49 |
Position cap reached — 95 of 20 slots in use. |
| #3 | CCEP | SKIP | — | $110.02 → $115.64 stop $104.19 |
Position cap reached — 95 of 20 slots in use. |
| #4 | PLTR | SKIP | — | $176.38 → $185.20 stop $158.74 |
Position cap reached — 95 of 20 slots in use. |
Already open: JPM (to Aug 26), CB (to Aug 27), JPM (to Aug 27), RTX (to Aug 27), WAB (to Aug 27), DGX (to Aug 28), HIG (to Aug 28), WAB (to Aug 28), GM (to Aug 29), MET (to Aug 30), WTW (to Aug 30), AMP (to Sep 3) … and 83 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.
Adobe makes Photoshop, Acrobat, and other creative and marketing software used by millions of businesses. The stock has rebounded sharply over the past month and is accelerating, comfortably beating the broader market, with a bullish momentum signal from its MACD indicator. The key risk is that Adobe reports earnings in about two and a half weeks, right in the middle of the 30-day window, which could cause a large price swing in either direction.
Why the AI likes it
What could go wrong
Calibrated probability: 70% (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
Alphabet is Google's parent company, running search, YouTube, cloud computing, and other tech businesses. The stock has climbed steadily over the past month and is holding up better than the semiconductor and AI-infrastructure names currently selling off. The main risk is that its very short-term momentum has nearly flattened, so the rally may need to catch a fresh breath before extending further.
Why the AI likes it
What could go wrong
Calibrated probability: 70% (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
Coca-Cola Europacific Partners bottles and distributes Coca-Cola products across Europe and Asia-Pacific. It's a steady, low-drama stock that's quietly climbing while riskier tech names sell off, fitting the current shift toward defensive consumer staples. The main risk is that its gains are modest, so there's less room for error if the price pulls back.
Why the AI likes it
What could go wrong
Calibrated probability: 70% (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
Palantir builds data-analysis software used by governments and large companies, increasingly powered by AI. Its most recent quarter blew past expectations with revenue up 93%, and management raised its full-year sales forecast, showing real business momentum. The main risks are that the stock has already climbed nearly 43% in the past month and insiders have been selling, so much of the good news may already be reflected in the price.
Why the AI likes it
What could go wrong
Calibrated probability: 70% (raw model estimate: 79%) — 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 23, 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 101 NASDAQ 100 constituents and short-listed 26 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.