Wednesday, August 19, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Neutral Normal choppiness · VIX 15.4
The market is showing a clear rotation away from high-growth technology and semiconductor names (Meta, Broadcom, Oracle, KLA, ON Semi, CrowdStrike, Datadog all down sharply over the past week) and into energy, healthcare, financials, and select consumer/defensive names that are sitting near their 52-week highs with strong 30-day momentum. Rather than a broad-based rally or selloff, this looks like a sector-rotation environment where quality, value-oriented names are outperforming while richly-valued growth tech consolidates. Selectivity is warranted given the divergence between sectors.
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 | CVX | SKIP | — | $207.10 → $217.46 stop $193.43 |
Position cap reached — 77 of 20 slots in use. |
| #2 | MRK | SKIP | — | $149.11 → $156.74 stop $138.22 |
Position cap reached — 77 of 20 slots in use. |
| #3 | TGT | SKIP | — | $159.61 → $167.86 stop $144.93 |
Position cap reached — 77 of 20 slots in use. |
| #4 | IQV | SKIP | — | $249.50 → $262.40 stop $228.79 |
Position cap reached — 77 of 20 slots in use. |
Already open: MTB (to Aug 20), CSX (to Aug 22), WAB (to Aug 22), CSX (to Aug 22), HON (to Aug 22), DGX (to Aug 23), HON (to Aug 23), JPM (to Aug 23), UNP (to Aug 23), CB (to Aug 24), JPM (to Aug 24), DGX (to Aug 26) … and 65 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.
Chevron is one of the world's largest oil and gas companies, producing and selling energy that powers homes, cars, and industry. Money has been rotating out of expensive tech stocks and into energy names like Chevron, which is trading near its recent highs with strong upward momentum. The main risk is that oil prices can swing quickly on world events, which could stall the stock's climb.
Why the AI likes it
What could go wrong
Calibrated probability: 72% (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
Merck is a global pharmaceutical company best known for its cancer drug Keytruda. The company raised its full-year sales and profit guidance on strong drug sales and a new FDA approval, a genuinely positive signal. The biggest risk is that the stock's short-term momentum gauge is at an extreme level, which often precedes a pause or pullback, and several executives have recently sold shares.
Why the AI likes it
What could go wrong
Calibrated probability: 72% (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
Target is a general merchandise retailer. It reported earnings today that sharply beat expectations and meaningfully raised its full-year sales and profit guidance, which sent the stock up about 14% in a single day. The key risk is that this pick is essentially a same-day earnings reaction — much of the good news is likely already reflected in today's price move, so there's real risk of the stock cooling off rather than continuing higher.
Why the AI likes it
What could go wrong
Calibrated probability: 72% (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
IQVIA helps pharmaceutical companies run clinical trials and provides healthcare data and analytics. The company beat expectations on revenue and earnings and raised its full-year guidance on the back of record new business bookings. The main risk is that the CEO recently sold a large amount of stock, and short-term momentum has started to cool slightly even though the stock is still near its highs.
Why the AI likes it
What could go wrong
Calibrated probability: 72% (raw model estimate: 68%) — 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 September 18, 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 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.