Tuesday, September 1, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 16.1
Breadth is weak with a large number of S&P 500 names down sharply on earnings misses or guidance cuts (airlines, homebuilders, several industrials), but there are well-defined pockets of strength: energy (refiners and oilfield services riding higher crude/margins), a cluster of software names with strong post-earnings follow-through, and steady healthcare/biotech gainers. Given the wide dispersion, this looks like a stock-picker's market rather than a broad rally.
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 | NOW | SKIP | — | $144.39 → $151.61 stop $129.95 |
Position cap reached — 107 of 20 slots in use. |
| #2 | MPC | SKIP | — | $379.40 → $398.37 stop $349.81 |
Position cap reached — 107 of 20 slots in use. |
| #3 | HAL | SKIP | — | $36.98 → $38.83 stop $34.10 |
Position cap reached — 107 of 20 slots in use. |
| #4 | AAPL | SKIP | — | $324.74 → $340.98 stop $303.63 |
Position cap reached — 107 of 20 slots in use. |
Already open: AMP (to Sep 3), RJF (to Sep 4), NVDA (to Sep 5), SWK (to Sep 6), FAST (to Sep 9), WAT (to Sep 9), LLY (to Sep 10), DRI (to Sep 11), DXCM (to Sep 11), BDX (to Sep 12), BLK (to Sep 12), EXPD (to Sep 13) … and 95 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.
ServiceNow sells workflow-automation software that big companies use to run their internal IT, HR, and customer-service operations. The stock has been climbing steadily and is beating the broader market by a wide margin, with technical readings that are strong but not yet flashing 'overheated.' The main risk is that after such a fast run-up, any market wobble could trigger a quick pullback, and a recent small insider stock sale is worth watching.
Why the AI likes it
What could go wrong
Calibrated probability: 68% (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
Marathon Petroleum refines crude oil into gasoline, diesel, and other fuels. It just reported a blowout quarter, with net income more than four times higher than a year ago as refining margins more than doubled, and management sounded confident about continuing to return cash to shareholders. The main risk is that the stock is already trading right at its 52-week high and refining margins are notoriously volatile.
Why the AI likes it
What could go wrong
Calibrated probability: 68% (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
Halliburton is one of the world's largest oilfield-services companies, helping energy producers drill and complete wells, and it's benefiting from the same energy-sector strength lifting its peers. The stock's technicals are healthy, trending above both its short- and long-term averages with room left before becoming overbought. The main risk, shared with other energy names here, is that its performance is closely tied to oil prices and drilling budgets, which can shift suddenly.
Why the AI likes it
What could go wrong
Calibrated probability: 68% (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
Apple makes iPhones, Macs, and runs a large services and app-store business. The stock is trading above both its short- and long-term trend lines, a classic bullish setup, and its trading range has recently compressed, which technicians often see as the calm before a bigger move. The main risk is that this is a continuation of an already-mature trend rather than a fresh breakout, so a broad market pullback ahead of its late-October earnings could stall the gain.
Why the AI likes it
What could go wrong
Calibrated probability: 68% (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
This report identifies stocks with an AI-assessed probability of gaining +5% within 30 calendar days (target exit by October 1, 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.