Monday, October 26, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 18.3
The NASDAQ 100 is showing a sharp rotation: AI-infrastructure, semiconductor-equipment, and memory names (KLAC, LRCX, AMAT, MU, WDC, STX, SNDK, NBIS, CRWV, ARM) have broken down 20-55% from highs, while defensives, staples, travel, and select enterprise-software/security names are quietly grinding to new highs on steady 5-day and 30-day gains. The tape looks like a rotation out of crowded AI/chip momentum rather than a broad risk-off move, so near-term 5%+ upside is concentrated in names with sustained (not single-day) momentum that are still close to their 52-week highs.
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 | GEHC | SKIP | — | $72.04 → $75.64 stop $67.36 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | EXC | SKIP | — | $44.47 → $46.72 stop $42.38 |
Position cap reached — 89 of 20 slots in use. |
| #3 | WDAY | SKIP | — | $208.39 → $218.84 stop $191.30 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #4 | TXN | SKIP | — | $297.64 → $312.52 stop $271.45 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
Already open: EMR (to Nov 1), ALW.L (to Nov 1), MSFT (to Nov 4), AMZN (to Nov 8), PYPL (to Nov 8), HCA (to Nov 11), HUM (to Nov 11), TJX (to Nov 11), SHOP (to Nov 11), MA (to Nov 12), BNZL.L (to Nov 12), NG.L (to Nov 12) … and 77 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.
GE HealthCare makes medical imaging and diagnostic equipment used in hospitals worldwide. The stock is trending higher with healthy momentum and beating the broader market over the past month. The main risks are an earnings report due in two days and the fact that shares are still well off their 52-week high, meaning this rally still has to prove itself.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (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
Exelon owns regulated electric and gas utilities serving millions of customers — the kind of steady, defensive business that tends to attract money when investors rotate out of riskier tech trades. The stock is in a healthy uptrend and beating the market, though it's still trading below its longer-term average, which could act as resistance. It also reports earnings in four days, adding some near-term uncertainty.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (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
Workday provides cloud-based software that companies use to manage employee pay, benefits, and finances. The stock has surged on strong momentum, clearly outpacing the broader tech market, with its price well above both key moving averages. The main risks are that the company's biggest long-time insider has been selling shares steadily, and that such a fast recent run can sometimes cool off.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (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
Texas Instruments designs and makes analog semiconductor chips used in cars, industrial equipment, and electronics — a different, less AI-hype-driven niche than the memory and AI-chip names that have recently sold off hard. The stock is holding up well and trending higher, having already reported earnings. The main risk is that trading volume hasn't fully confirmed the price strength, a sign the rally could be losing steam.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (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 November 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 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.