Tuesday, November 3, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 20.9
The index shows a sharp sector rotation: mega-cap tech and semiconductors (INTC, AMAT, LRCX, AMD, GOOGL, META, NVDA, CRWD, PANW) are down double-digits over the past month, while financial exchanges, insurance brokers, consumer staples, healthcare and defense names are grinding to or near fresh 52-week highs on steady, multi-week momentum. Breadth outside of tech/semis is constructive, supporting selective long exposure rather than broad index-wide bullishness.
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 | GD | SKIP | — | $373.43 → $392.10 stop $346.54 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | AON | SKIP | — | $329.55 → $346.03 stop $302.53 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | ICE | SKIP | — | $171.15 → $179.71 stop $157.12 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #4 | CHD | SKIP | — | $109.62 → $115.10 stop $102.39 |
Position cap reached — 83 of 20 slots in use. |
Already open: MSFT (to Nov 4), HUM (to Nov 11), TJX (to Nov 11), BNZL.L (to Nov 12), UNH (to Nov 14), CTEC.L (to Nov 14), DGE.L (to Nov 14), JD.L (to Nov 14), UU.L (to Nov 14), CNC (to Nov 15), BATS.L (to Nov 15), BP.L (to Nov 15) … and 71 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.
General Dynamics builds military vehicles, submarines, and business jets, making it a core defense contractor. Defense stocks are one of the sectors currently grinding higher while tech slides, and this stock is sitting right at its recent price high with healthy momentum. The key risk is that defense stocks can be sensitive to government budget news or shifts in geopolitical headlines.
Why the AI likes it
What could go wrong
Calibrated probability: 57% (raw model estimate: 62%) — 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
Aon is a global insurance brokerage and risk advisory firm that just reported solid, broad-based growth across its business lines, and a company director recently bought several million dollars of stock with their own money - a strong vote of confidence. The stock is still well below its 52-week high even after its recent run, which could mean there's more room to climb, but a large pending acquisition still needs to be integrated smoothly.
Why the AI likes it
What could go wrong
Calibrated probability: 57% (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
Intercontinental Exchange owns major financial exchanges, including the New York Stock Exchange, making it a key piece of financial-market plumbing. Its stock has been climbing steadily and clearly outpacing the broader market, with technical readings showing healthy, not overheated, momentum. The main risk is that after such a strong run, a broad market pullback could cool things off.
Why the AI likes it
What could go wrong
Calibrated probability: 57% (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
Church & Dwight makes everyday household and personal-care brands like Arm & Hammer, products people keep buying regardless of the economy. Its stock has been climbing steadily, benefiting from investors rotating out of beaten-down tech names into steadier consumer companies. The main risk is that if tech stocks bounce back, money could rotate right back out of safer names like this one.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (raw model estimate: 71%) — 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 3, 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 503 S&P 500 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.