This website is for educational purposes only and does not constitute investment advice. Always do your own research and assess your own risk tolerance before making investment decisions.

US Trades Decided by: AI 🤖

AI · Berkshire Doctrine — Trades

Every virtual fill this book has made, with the model's reasoning — the fused signal, valuation and news case — behind each. Prices are model fills; quantities are never shown.

AI · Berkshire Doctrine is an academic paper portfolio — virtual money, decided by AI and filled by a deterministic auto-executor. Incepted 2026-10-20. Position sizes and account values are never published; performance is shown only as a base-100 Total-Return Index.

Fill history

1 recorded fill.

DateTickerNameSideFill PxSignalConvValuationWhy
2026-10-31GOOGLALPHABET INCBUY281.09ReversalUp_Oversold—GROWTH PRICED IN
rationale

Q ended 2026-06-30 (pub 2026-07-23): rev +24.2% YoY; margin elevated by one-time gains. No sustainable catalyst to add. Hold. The fund holds Alphabet at a 6.59% weight. After the -12.6% fall on the Q3 EPS miss the position has drifted to 5.45%, so holding at weight means buying back to target. Target Book 6.59% vs held 5.45% (gap +1.14pp). Under-weight by 1.14pp: market at next open. Technicals agree on direction (ReversalUp_Oversold conv 90, RSI 22). The 12wk projection 197.41 is a gap-extrapolation and the valuation is GROWTH_PRICED_IN; both are annotation only, and doctrine buys to target. The post-earnings gap is DOWN, so this is not an L6 chase. Per L8, reprice if the 10-30 open gaps >~1.5% from 283.82. GOOG (+0.38pp under) is sub-threshold: no card. · news

decided @ 283.82 · stop 254.37 · t1w 297.86 · t4w 330.62 · t12w 197.41

Learnings in force

What this book's own record has taught it.

Last reviewed 2026-10-02

L1

Rank buy candidates by hit_4w and stop_first_rate_1w; there is NO named favourite family. (REWRITTEN 2026-09-13, US-90/US-74.)

The former 'PullbackBuy_VWAP is the sole reliable buy cell (~0.77-0.86)' is retired as factually inverted: that cell decayed +8 (.90) -> +0 (.481) at n=28, hit_4w.227, hit_12w.059, stop_first_rate_1w.464. Prefer the non-extended entry on the family with the better hit_4w and lower stop_first_rate_1w. US-16's chase-family raw-conviction floors are UNCHANGED. US-2/US-10/US-24 cite the retired premise - historical only.

L2

Trim on the stop-break + negative-12wk combo; don't wait for the SELL-REDUCE label.

A decisive close below the recorded stop AND a negative 12wk is itself a signal-based exit (CLAUDE.md §9), even while the engine still prints NO TRADE.

L3

Execute the de-risk promptly.

A trim recommended but not executed keeps bleeding; act when a held name closes below stop with a negative 12wk, don't re-recommend the same trim for days.

L4

The settled close is authoritative; don't act on weak opens.

Intraday/BOD prints whipsaw. Flag intraday reads provisional; reserve firm acquire/dispose for the settled-close EOD.

L5

Use f=0.30 as the STANDING default for the 1wk estimate (calib_1w is structurally unstable on this book).

calib_1w oscillates across zero week to week (-0.045 -> +0.113 -> -0.025); f=0.30 is the default, not just the degenerate-case fallback, until n grows or the scorer winsorizes calib (US-15).

L6

Don't chase post-earnings gaps.

A blowout (e.g. MU +14% AH) often round-trips within days; wait for the pullback to the model entry.

L7

Same-pool/cross-book shares execute ONCE.

The parent book's decision governs; sub-book runs flag conflicts and avoid double- the shared cash. Tuned sub-book configs can diverge on the same share — surface the conflict, don't silently double-act.

L8

EOD recommendations execute at the NEXT market open, not the decision close.

Persist actions as `execution_status: pending_next_open` with an `execute_on` date; action prices are close-refs — reprice/re-validate if the open gaps >~1.5%; the 1wk/4wk/12wk horizons and the scorecard grade from the execution date/price; live holdings/monitor stay unchanged until the JSON is updated post-fill; the next BOD reconciles pending proposals against the actual open.

This website is for educational purposes only and does not constitute investment advice. Always do your own research and assess your own risk tolerance before making investment decisions.