Tuesday, November 10, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 19.8
The NASDAQ 100 is sharply bifurcated: AI-infrastructure, memory, and cybersecurity names have been crushed over the past 30 days (many down 20-45% and far from their highs), while consumer staples, healthcare, travel, and industrial-services names have rallied steadily and now sit near their 52-week highs. The index's defensive/staples cohort shows the cleanest, least-extended upward momentum right now.
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 | — | $1,065.87 → $1,119.16 stop $997.65 |
Position cap reached — 84 of 20 slots in use. |
| #2 | TMUS | SKIP | — | $168.75 → $177.19 stop $154.91 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | ROP | SKIP | — | $474.71 → $498.45 stop $440.06 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #4 | CPRT | SKIP | — | $32.28 → $33.89 stop $30.12 |
Position cap reached — 84 of 20 slots in use. |
Already open: HUM (to Nov 11), TJX (to Nov 11), UNH (to Nov 14), KO (to Nov 18), ULVR.L (to Nov 18), PFE (to Nov 19), ROST (to Nov 19), FAST (to Nov 20), CSX (to Nov 21), TRV (to Nov 22), SGE.L (to Nov 25), SVT.L (to Nov 25) … and 72 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 low prices, a business that tends to hold up well in any economic environment. The stock has been climbing steadily and outperforming the broader tech-heavy Nasdaq by a wide margin, suggesting investors are rotating into steady, defensive names like this one. The main risk is that the stock is trading near the top of its recent range, so it could stall out if buying momentum fades or the market reverses higher.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 64%) — 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
T-Mobile is the wireless carrier behind the T-Mobile and Metro brands, serving tens of millions of phone and internet customers. The stock has bounced back hard over the past month and is now clearly outpacing the broader market, though it's still recovering from a much bigger decline earlier in the year. The main risk is that this looks more like a sharp rebound than an established uptrend, so some gains could unwind if buying interest cools.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 64%) — 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
Roper Technologies owns a collection of specialized software and engineered-products businesses serving industries like healthcare and infrastructure. The stock has had an exceptionally strong month, climbing roughly 29% and sharply outpacing the broader market, which points to real investor enthusiasm. The main risk with a move this big is that it may be due for a breather, so a pullback after such a sharp run is a real possibility.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (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
Copart runs online auctions for salvaged and used vehicles, working closely with insurance companies. The stock has rallied strongly and is beating the broader market by a wide margin, recovering back above its long-term average price. The biggest risk is timing — the company reports earnings in just over a week, inside the 30-day window, adding uncertainty given a recent earnings miss.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (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 December 10, 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 27 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.