Wednesday, August 26, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Optimistic Normal choppiness · VIX 15.5
Breadth within the NASDAQ 100 is strong but uneven: healthcare/biotech (VRTX, AMGN, REGN, GILD), travel/consumer platforms (ABNB, BKNG, DASH), and select AI-infrastructure and mega-cap software names (MSFT, PLTR, LITE, MRVL) show sustained 30-day gains and are trading near their 52-week highs, while legacy hardware and chip-equipment names (AAPL, INTC, AMAT, KLAC, NXPI) remain in pronounced downtrends. The dispersion suggests a rotation into AI-adjacent infrastructure, healthcare stability plays, and consumer-travel demand rather than a uniform rally.
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 | GILD | SKIP | — | $148.60 → $156.32 stop $137.31 |
Position cap reached — 106 of 20 slots in use. |
| #2 | ABNB | SKIP | — | $189.05 → $198.69 stop $173.17 |
Position cap reached — 106 of 20 slots in use. |
| #3 | SHOP | SKIP | — | $151.54 → $160.64 stop $136.39 |
Position cap reached — 106 of 20 slots in use. |
| #4 | CDNS | SKIP | — | $334.00 → $355.70 stop $300.60 |
Position cap reached — 106 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), AMP (to Sep 3), MSFT (to Sep 4) … and 94 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.
Gilead makes HIV treatments like Biktarvy along with other medicines, and its core business just posted accelerating sales and raised its full-year revenue outlook. The stock is still trading over 5% below its recent high even after that good news, which looks like a value entry. The main risk is that a headline GAAP loss from recent acquisitions could scare off less-informed investors even though the underlying business is healthy.
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
Airbnb runs the world's largest home and experience booking platform connecting travelers with hosts. The stock has rallied hard and is far outperforming the broader market, reflecting strong investor demand for travel-related names. The main risks are that the stock now looks a bit overbought and company insiders, including the CEO, have been selling large amounts of stock recently.
Why the AI likes it
What could go wrong
Calibrated probability: 70% (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
Shopify runs the software platform millions of online stores use to sell products, and it just posted 34% revenue growth with profit growing even faster. Shares are still about 17% below their 52-week high, so there's room to run even after a strong quarter. The main risk is that trading volume hasn't fully confirmed the recent price gains, which can be an early warning sign.
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
Cadence makes the software chipmakers use to design semiconductors, and it just delivered a standout quarter and explicitly raised its full-year revenue, profit, and cash-flow targets on the back of a record order backlog. The stock hasn't caught up to the good news yet — it's still about 20% below its 52-week high — which looks like an unusually good value entry for how strong the fundamentals are. The main risk is that the stock is still trading below its short-term moving average, showing the market hasn't turned bullish on it yet.
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 25, 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.