Friday, October 16, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 18.9
The NASDAQ 100 is showing a sharp rotation away from semiconductor and AI-infrastructure names (several down 30-65% from 52-week highs over the past month, e.g. CRWV, NBIS, RKLB, WDC, STX, AMAT, INTC, NVDA) and into defensive consumer staples, healthcare, utilities and select mega-cap tech that are sustaining 30-day gains while trading within single digits of their highs. This earnings-season dispersion suggests a stock-picker's market rather than a broad directional trend, so candidates below are concentrated in the names showing confirmed, sustained strength rather than one-off pops.
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 | COST | SKIP | — | $989.15 → $1,038.61 stop $912.00 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | XEL | SKIP | — | $76.02 → $79.82 stop $70.62 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | MDLZ | SKIP | — | $63.85 → $67.04 stop $60.47 |
Position cap reached — 67 of 20 slots in use. |
| #4 | ORLY | SKIP | — | $89.18 → $93.64 stop $83.74 |
Position cap reached — 67 of 20 slots in use. |
Already open: WDAY (to Oct 18), LGEN.L (to Oct 21), SSE.L (to Oct 21), IAG.L (to Oct 22), AAPL (to Oct 22), KGF.L (to Oct 23), DHR (to Oct 24), DCC.L (to Oct 25), PFE (to Oct 28), DPLM.L (to Oct 28), SMIN.L (to Oct 28), ABDN.L (to Oct 30) … and 55 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.
Costco runs membership warehouse stores that sell groceries and household goods in bulk at a discount. It just reported a strong fiscal year with sales up over 10% and profits climbing sharply, continuing a run of beating expectations every quarter for the past year, and the stock is still trading noticeably below its 52-week high. The main risk is that the stock has already rallied hard recently and looks stretched on short-term technical measures, so a pause or pullback is possible even if the underlying business stays healthy.
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
Xcel Energy is a regulated electric and gas utility serving several U.S. states, offering the kind of stable, predictable cash flow investors favor during uncertain times. It's part of the current wave of money moving into defensive utility stocks, and its price just touched a new 30-day high. The main risk, shared by all utilities, is that they are sensitive to interest-rate expectations, so any surprise on that front could undercut the current uptrend.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (raw model estimate: 60%) — 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
Mondelez owns well-known snack brands like Oreo and Cadbury, a classic 'defensive' business that people keep buying regardless of the economy. The stock is climbing steadily, beating the broader market, and technical signals are healthy and bullish. The main risk is that earnings are due in under two weeks, and the CEO recently sold a large block of shares.
Why the AI likes it
What could go wrong
Calibrated probability: 60% (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
O'Reilly Automotive runs thousands of auto parts stores across the country, a steady business that benefits when people keep older cars running longer. The stock has been climbing and beating the broader market, and a recent tightening in price swings (a 'squeeze') suggests a bigger move could be coming. The main risk is that the stock is still trading just below its longer-term average price, so the rally isn't yet fully confirmed, and earnings are coming up in under two weeks.
Why the AI likes it
What could go wrong
Calibrated probability: 55% (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 November 15, 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 25 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.