Friday, November 6, 2026 · Five AI analysts screened this index for stocks with the best shot at gaining +5% within 30 days
Optimistic Normal choppiness · VIX 24.3
FTSE 100 constituents show broad-based 30-day gains with many names sitting within single digits of their 52-week highs, pointing to a sustained rally led by consumer staples, healthcare, retail and defensives. A handful of 5-day pullbacks in miners, banks and oil majors look like rotation/profit-taking rather than trend reversal, since their 30-day trend remains intact or only modestly negative.
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 | DGE.L | SKIP | — | £1,882.50 → £1,976.62 stop £1,737.55 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #2 | KGF.L | SKIP | — | £374.50 → £393.22 stop £340.05 |
Half-Kelly sizes this at 0% — the odds carry no edge worth capital. |
| #3 | ADM.L | SKIP | — | £3,934.00 → £4,130.70 stop £3,760.90 |
Position cap reached — 55 of 20 slots in use. |
| #4 | SSE.L | SKIP | — | £2,649.00 → £2,781.46 stop £2,484.76 |
Position cap reached — 55 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 43 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.
Diageo makes and sells well-known alcoholic drinks brands like Johnnie Walker, Smirnoff, and Guinness. The stock has surged over the past month and is still climbing in the last five trading days, comfortably outpacing the broader UK market, with the technical picture (moving averages, momentum indicator) all lining up in its favor. The main risk is that after such a big run-up, some investors may decide to lock in profits, causing a short-term pullback.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (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
Kingfisher owns home-improvement retail chains including B&Q and Screwfix. Its shares have climbed sharply over the last month and are still rising in the most recent week, beating the wider market by a wide margin, and the trading volume behind the move looks healthy and supportive. The key risk is that consumer and housing-market retailers can be sensitive to economic news, so the rally could stall if sentiment shifts.
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
Admiral is one of the UK's largest car and home insurers. Its share price has risen steadily over the past month and continues to edge higher, outperforming the broader market, with a favorable balance of risk versus potential reward compared to some of its peers. The main risk is that insurance stocks can react badly to unexpected claims costs or regulatory news, which isn't something price charts can predict.
Why the AI likes it
What could go wrong
Calibrated probability: 59% (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
SSE is a major British utility that generates and supplies electricity, including a large renewable-energy business. Its shares have climbed steadily and are near a one-month high, benefiting from investor interest in steady, defensive-earnings companies. The main risks are that utility stocks tend to be sensitive to interest-rate moves, and the company reports earnings in less than two weeks, which could add volatility.
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 6, 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 100 FTSE 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.