Wednesday, September 9, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 16.2
The NASDAQ 100 shows a sharp bifurcation: dozens of large-cap names are down 10-20% on the day (Broadcom, Booking, Honeywell, Old Dominion, Cadence, Shopify, Rocket Lab), while a distinct cluster of semiconductor, memory/storage, and AI-infrastructure names is rallying hard on both 5-day and 30-day momentum. Given the broad weakness elsewhere, candidates below are limited to names with confirmed multi-timeframe strength rather than single-day spikes.
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 | QCOM | SKIP | — | $175.59 → $184.37 stop $159.61 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | LRCX | SKIP | — | $315.28 → $331.04 stop $283.75 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | META | SKIP | — | $651.53 → $684.11 stop $608.53 |
Position cap reached — 112 of 20 slots in use. |
| #4 | TSLA | SKIP | — | $368.76 → $387.20 stop $339.26 |
Position cap reached — 112 of 20 slots in use. |
Already open: LLY (to Sep 10), DXCM (to Sep 11), BDX (to Sep 12), EXPD (to Sep 13), CPAY (to Sep 16), GPN (to Sep 16), STT (to Sep 16), STJ.L (to Sep 16), SCHW (to Sep 17), TRGP (to Sep 17), AV.L (to Sep 17), PSN.L (to Sep 17) … and 100 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.
Qualcomm makes chips used in smartphones and other connected devices. The stock is up over the past month and outpacing the broader tech market, with a clean technical setup and no signs of being overextended. The main risk is a large recent single-day jump that could see some profit-taking in the near term.
Why the AI likes it
What could go wrong
Calibrated probability: 64% (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
Lam Research sells the specialized equipment chipmakers use to manufacture advanced semiconductors, an industry benefiting from the AI buildout. Its most recent quarterly earnings beat expectations and it has a strong history of beating estimates, though the company's detailed outlook commentary wasn't available to us this time. The risk is that the case leans more on a solid track record than fresh company statements, and insiders — including the CEO — have been selling.
Why the AI likes it
What could go wrong
Calibrated probability: 64% (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
Meta owns Facebook, Instagram, and WhatsApp and is investing heavily in AI. The stock has climbed steadily and is beating the broader tech market, but it's trading near overbought territory after its run, which tempers the near-term upside case. The key risk is that a stock this hot can pull back quickly if sentiment shifts.
Why the AI likes it
What could go wrong
Calibrated probability: 64% (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
Tesla makes electric vehicles and energy storage products. The stock is up over the past month and outperforming the broader tech market, and its price bands have tightened (a 'squeeze') which often precedes a bigger move. The main risk is that Tesla is a famously volatile stock whose price can swing on news, tweets, or delivery numbers with little warning.
Why the AI likes it
What could go wrong
Calibrated probability: 64% (raw model estimate: 72%) — 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 October 9, 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 23 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.