HYPOTHETICAL PERFORMANCE These are paper-trading portfolios. No client money is invested, no orders are routed to any venue, and no result shown here was achieved with real capital. Hypothetical results have inherent limitations and do not reflect the effect of real order flow on price.
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Long-Term Compounders

P01activemoderate riskrulebook v1.1.1rank and explain

Compound capital over a 5-10+ year horizon by owning a concentrated set of high-quality businesses that earn durable returns on invested capital and reinvest at attractive rates. Minimise turnover, taxes and trading cost.

Follow Long-Term Compounders's trades →Decisions post to the channel when they're made — before settlement, refusals included.

Track record

Total return
+0.00%
net of modelled costs
Max drawdown
−0.00%
Days live
0
1 observations
Cost drag
0.00%
$0 in explicit fees
Sharpe
withheld
below 60 observations
Gross return
0.00%
before costs

Fewer than two NAV observations. No statistics are meaningful yet.

Starting capital
$100,000own work — never restated
Benchmarks
SPY · RSP, QQQ
Mandate hash
c45b3635b710aacd2e61327f9c479cc568eff35a3cb0dcd0f577ee91ae5f6b60

Recent decisions

Every run, including the ones that traded nothing: the committed fact-pack hash (written to the audit chain before the model was called), the model's published view, each proposal with the rule engine's verdict, and the fills that resulted. Rejected proposals stay up with their reason codes — a reader who can only see the trades that happened cannot judge the discipline that refused the ones that didn't.

2026-08-09 12:34Zpost closeabstainedclaude-sonnet-4-5

The portfolio is at inception with a NAV of 100,000 USD (fact: pf.nav) held entirely in cash at 100 percent (fact: pf.cash_pct). There are zero current positions (fact: pf.position_count). The fact pack provides no eligible symbols to evaluate for investment (ELIGIBLE SYMBOLS: 0). Without any securities available for analysis, I cannot assess quality metrics, returns on invested capital, reinvestment opportunities, or valuations that align with the Long-Term Compounders mandate. The mandate requires identifying high-quality businesses that earn durable returns on invested capital and reinvest at attractive rates over a 5-10+ year horizon, but no such opportunities are presented in the current fact pack. Remaining in cash is the only rational position until eligible securities are provided for evaluation.

fact pack af5e42c426e8f72a… · run run_6c1196dad6bd487f

What the AI is allowed to do

This portfolio's AI ranks candidates and explains its reasoning. It proposes direction and conviction only. Every price, quantity, weight and risk limit is computed by deterministic code the model cannot see or influence.

It may propose

BUY · ADD · TRIM · SELL · HOLD · FLAG_THESIS_BREAK

At most 5 proposals per run, each carrying a direction, a conviction from 1 to 5, a rationale, and references to the facts it used.

It cannot
  • set a price
  • set a quantity or share count
  • set a weight or position size
  • set or move a risk limit
  • execute anything

Model tier deep · prompt version P01-v1. Any change to either is recorded as a MODEL_CHANGE event in the audit chain — without it the record would be a chimera of two systems presented as one.

Enforced limits

Every limit below names the code path that enforces it. This is not decoration: a limit that is published but never fires is worse than no limit, because a reader has no way to tell the difference. A test walks every mandate, drives the engine into the state each declared control claims to protect against, and fails the build if nothing stops it.

exposure
LimitValueEnforced by
Maximum gross exposure100.0%gate 2 — size_order
Maximum single sector30.0%gate 2 — size_order
permissions
LimitValueEnforced by
Shortingprohibitedgate 1 — proposal validation
Derivativesprohibitedgate 1 — proposal validation
Marginprohibitedgate 1 — proposal validation
sizing
LimitValueEnforced by
Minimum new position2.0%gate 2 — size_order
Maximum order as % of ADV1.0%gate 2 — size_order
loss limits
LimitValueEnforced by
Single-day loss alert7.0%gate 3 — alert
data integrity
LimitValueEnforced by
Stale-data halt48 hoursgate 3 — HALT_STALE_DATA
drawdown ladder
LimitValueEnforced by
At −15.0% drawdownalert, publish_commentarygate 3 — drawdown ladder
At −25.0% drawdownalert, publish_commentary, pause_new_positions_days:20gate 3 — drawdown ladder
At −35.0% drawdownalert, mandatory_deep_review, pause_all_buys_until_review_publishedgate 3 — drawdown ladder
At −60.0% drawdowngraveyard_reviewgate 3 — drawdown ladder
turnover
LimitValueEnforced by
Max trades per quarter8entry block — PAUSE_TURNOVER_CAP_REACHED (never blocks an exit)
Max annual turnover pct40entry block — PAUSE_TURNOVER_CAP_REACHED (never blocks an exit)
Min holding period days30entry block — PAUSE_TURNOVER_CAP_REACHED (never blocks an exit)
circuit breakers
LimitValueEnforced by
Halt trading if price gap unexplained pct25gate 3 — circuit breaker
Halt trading if benchmark data missingtruegate 3 — circuit breaker
Halt trading if factpack hash mismatchtruegate 3 — circuit breaker

Execution

Cost profile
zero_commission_us
Fill convention
vwap_window
Decision → order latency
60s
VWAP window
15 minutes

Fills are struck on a VWAP window that begins strictly after the decision timestamp plus a latency delay. No fill can use information from the bar in which the decision was made, so look-ahead is arithmetically impossible rather than merely avoided.

Philosophy

Quality at a defensible price. Returns come from the underlying businesses compounding, not from re-rating. The AI's job is to rank quality and identify thesis breaks, not to time the market.

Review schedule

JobCronTimezoneMakes a decision
weekly review0 12 * * SUNAmerica/New_Yorkyes
monthly rebal0 12 1 * *America/New_Yorkyes
quarterly deep0 12 20 2,5,8,11 *America/New_Yorkyes
daily risk scan30 16 * * MON-FRIAmerica/New_Yorkno

Published on a fixed, regular schedule. Never event-triggered — no "market is crashing, sell now" alerts, deliberately.

Machine-readable mandate: config/portfolios/P01_long_term_compounders.yaml · human rulebook: docs/portfolios/P01_long_term_compounders.md · effective from 2026-08-06 · payload b618c290568f

Follow the record.Every decision, fill and refusal, as it is published — including the ones that lose money.Join on Telegram →

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