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AuspexDaily BriefSample Edition
INCUBATING · COMING SOON

An auspex is not an oracle.

Multi-signal capital intelligence. Reasoning visible; execution operator-controlled.

Edition · 001 · sample briefPilot opens · Q3 2026 · family offices · RIAs · advisors
Section 02

The read

Sample recommendation · full reasoning trace

BUY
high-conviction · 4 lenses positive
Confidence0.87
Ticker
REDACTED · L-1
Category
Large cap · sector tech
Window
5-15 day swing
Size hint
2.5% · 1x position
Per-lens contribution
  1. / 01Persons of Interest

    3 of 4 sub-streams agree: politicians + funds + insiders positive within 30-day window. Promoter lens quiet.

    0.38
  2. / 02Technicals

    Bullish-divergent regime. Price above 200-day MA with volume confirmation; momentum positive D + W.

    0.27
  3. / 03Fundamentals

    EPS revision upward 6.2% in last 30 days. Margin expansion +180bp Y/Y. Debt service ratio stable.

    0.22
  4. / 04Macro · regime

    Sector rotation tailwind. Vol regime moderate. Rates structure constructive for risk assets.

    0.13
Counterfactual

Flips BUY → HOLD if any one of:

  • Insider sales above 2 in next 14 days
  • Price breaks below 200d MA on > 1.5× volume
  • Earnings revision down > 5%
  • Macro regime shifts to risk-off
Sources · 4 cited
  • SEC EDGAR · Form 42026-06-03 · 4 filings
  • Price feed · 1Y252 bars · D+W aligned
  • FRED · macrorates · credit · vol
  • Earnings transcriptQ2 · 12d ago
Audit · rec-20260604-091500-L1
2026-06-04 09:15:01 UTCpipeline 1.303saudit recorded

Three sample reads spanning the verdict trinary. All values mocked for illustration. Live recommendations carry the same shape: verdict + confidence + per-lens contribution + counterfactual + sources + audit metadata. Tickers redacted on this page; the live pilot generates and audits one of these per ticker, per setup.

§ 03 · The signal stack

Four lenses. One reading.

Auspex aggregates signals across four independent lenses. Each lens runs its own extractor; the synthesis layer weighs them per the operator's preference profile. The reasoning trace surfaces every lens contribution on every recommendation.

FIG. ii · workstation view · sample ticker
live feed·REDACTED·1D
/ 01

Fundamentals

ACTIVE
earnings · growth · debt · margins
  • EPS rev · 30d+6.2%
  • Margin · vs Y/Y+180bp
  • Debt / equity0.84
  • P/E · rel sector0.91x
Signal count
47 fact keys per ticker

Earnings power, growth trajectory, balance-sheet posture, margin profile, sector-relative valuation. Updated on filings and estimate revisions.

/ 02

Technicals

ACTIVE
price · volume · regime
  • RSI · 14d58.4
  • Vol regimeMOD
  • PatternBULL-DIVE
  • vs 200d MA+8.2%
Signal count
32 patterns · 6 regimes

Price action, volume confirmation, momentum, regime classification, pattern recognition across daily and weekly timeframes.

/ 03

Persons of Interest

PRIMARY
politicians · funds · insiders · promoters
  • Politicians · 30d2 buy
  • Funds · 13F qtr+3 long
  • Insiders · F4 5d4 buy
  • Promotersnone
Signal count
4 sub-streams · same-day capture

Public-filing-sourced flows from the people whose trades carry signal. Politicians, large funds, corporate insiders, and founders / promoters. The distinctive lens.

/ 04

Macro · regime

ACTIVE
rates · credit · vol · rotation
  • 10Y yield4.18%
  • VIX14.2
  • Sector flow+net
  • Risk regimeRISK-ON
Signal count
12 regime indicators

Rates structure, credit spreads, volatility regime, sector rotation flows, sentiment indicators. The context every other lens reads inside of.

4 lenses · 1 reading · convergence at synthesismock data for illustration · live values in pilot

The synthesis layer reads across all four panes. The reasoning trace shows per-lens contribution on every recommendation. When lenses disagree, the trace names the dispute by lens, not by ticker.

Section 04

The execution

Operator setup DSL · fire-vs-block decisions

The AI recommends; code decides whether to fire. Setups are operator- authored rules in a code-like DSL. Same recommendation passes or fails a setup deterministically; every fill traces back to the rule that fired and the signals that triggered it.

setups/catalyst-aware-swing.setup
SETUP DSL
// setups/catalyst-aware-swing.setup
// Catalyst-aware Swing — operator-authored
// Last modified: 2026-06-04 · operator: REDACTED
WHEN
recommendation.verdict IN ["BUY", "PEND"]
AND recommendation.confidence >= 0.80
AND recommendation.lens_weight("PoI") >= 0.30
AND portfolio.position(ticker) < 0.05
AND macro.vol_regime IN ["low", "moderate"]
THEN
execute(
MARKET,
size = recommendation.size_hint * (
verdict == "BUY" ? 0.75 : 0.40
),
time_in_force = "DAY"
)
ON FAIL
audit.block({
setup: "catalyst-aware-swing",
failing_condition: $auto,
operator_override: ALLOWED
})
FIG. iv · applied against today's 3 reads
1 fire · 2 block
✓ FIRE
L-1BUY0.87
Conditions5/5 passed
Order ticket
  • sideBUY
  • order_typeMARKET
  • size0.75× size_hint
  • portfolio %1.875%
  • tifDAY
● Submitted93ms · queued
✕ BLOCK
M-2PEND0.62
Conditions4/5 passed
Failing condition
recommendation.confidence >= 0.80

Read carries reviewable conviction (PEND verdict) but confidence sits below the operator's threshold. Manual override allowed.

◷ Blocked · audit loggedoverride allowed
✕ BLOCK
S-3DENY0.79
Conditions4/5 passed
Failing condition
recommendation.verdict IN ["BUY", "PEND"]

Verdict is DENY (multi-lens negative). Block honored; operator override discouraged on this setup.

◷ Blocked · audit loggedoverride allowed

Three sample reads passing through one operator setup. The fire carries the order ticket; the blocks carry the failing condition and the operator-override posture. Every decision (fire or block) is captured in the audit ledger with the rule that fired, the condition that failed, and the signal state at evaluation time.

Section 05

The audit

Pipeline + execution trace · simulated

Every recommendation traces to its code path and its execution log. Below: the pipeline as TypeScript, with a sample run of the same pipeline as a live trace. the trade should be auditable before it executes.

FIG. i · pipeline · code + execution trace
auspex/pipeline.ts
TYPESCRIPT
// auspex/pipeline.ts
import { ingest, llm, rules, broker } from "@/auspex";
 
export async function recommend(
ticker: string,
operator: OperatorContext,
): Promise<Recommendation> {
// [01] INGEST · code
const filings = await ingest.filings(ticker);
const prices = await ingest.prices(ticker, "1y");
const macro = await ingest.macro();
 
// [02] EXTRACT · llm — texture
const facts = await llm.extract({
filings, prices, macro,
schema: FactSchema,
});
 
// [03] SYNTHESIZE · llm — texture
const synth = await llm.synthesize({
facts,
profile: operator.lensProfile,
});
 
// [04] GATE · code — load-bearing
const decision = rules.evaluate({
synth,
setup: operator.setup,
});
 
// [05] EXECUTE · code — load-bearing
if (decision.verdict === "FIRE") {
return broker.execute({
ticker,
...decision.order,
});
}
return decision;
}
exec/REDACTED · 2026-06-04 09:15:00 UTC
LIVE-TRACE
Section 06

The method

Architectural note · principles · vocabulary · scope

Most AI trading products are black boxes. They recommend, or worse execute, without showing the work. Auspex inverts that. The model contributes signal extraction, pattern recognition, and natural-language reasoning. The execution decision lives in code the operator wrote. Same architectural rule the studio applies in Verum's clinical gate, transposed to capital decisions: load-bearing actions in code, AI for the texture around them.

AI handles signal extraction, pattern recognition, and natural-language synthesis. The execution gate is a deterministic rule tree the operator builds. Every fill traces back to the rule that fired and the signals that triggered it.

FIG. v · design principles · 5 maxims
  1. 01

    Code decides, AI textures.

    Load-bearing decisions live in TypeScript; the model contributes evidence, not verdicts.

  2. 02

    Audit before execute.

    Every recommendation generates its full trace before any rule evaluates it for execution.

  3. 03

    Eval is the live system.

    Backtests share the production pipeline; the eval line is the live system, not a chart from before launch.

  4. 04

    Provenance per fact.

    Every signal traces to its filing URL, price-feed timestamp, or model-call ID. Nothing in the trace is unattributable.

  5. 05

    Operator-attested override.

    Manual overrides are first-class and captured in the audit ledger next to the rule they replaced.

  6. — five maxims · live —
FIG. vi · architecture · three zones
/ 01[ai]

Signal extraction

LLM reads filings, prices, macro, and PoI flows; emits typed facts with provenance.

Inputs
  • Filings
  • Prices
  • Macro
  • PoI
Output
Typed facts + reasoning trace
/ 02[code]

Verdict gate

Operator's setup runs as pure-code rule tree. Deterministic; same evidence produces same answer.

Inputs
  • Recommendation
  • Setup
  • Operator profile
Output
FIRE or BLOCK · with rule cited
/ 03[code]

Audit ledger

Append-only chain. Every signal, every recommendation, every gate decision, every fill captured.

Inputs
  • All events
Output
Immutable · replayable · exportable
FIG. vii · auspex vs typical AI trading
Aspect
Typical AI trading
Auspex
Reasoning
Opaque · not shown
Full trace per recommendation
Execution
Direct AI verdict
Code rule evaluates AI evidence
Audit
After-the-fact · partial
Append-only · every signal · every fill
Backtest
Frozen chart at launch
Replays any historical signal state
FIG. viii · vocabulary · 6 terms
Lensnoun
One of four signal sources: Fundamentals, Technicals, Persons of Interest, Macro. Each runs its own extractor.
Setupnoun
Operator-authored rule in a code-like DSL. Decides whether a recommendation fires execution.
Gatenoun
Deterministic evaluator that runs the operator's setup against an incoming recommendation. Pure code.
Reasoning tracenoun
Per-lens weights + sources + counterfactual that accompany every recommendation. The audit primitive.
Audit ledgernoun
Append-only record of every signal, recommendation, gate decision, and fill. Cryptographically chained.
Counterfactualnoun
The set of conditions that would flip a verdict. Shown on every recommendation, in the trace.
FIG. ix · in scope · not in scope
In scope
6
  • Multi-signal aggregation across 4 lenses

    Single-lens products miss convergence; multi-lens reveals where signals agree and where they dispute.

  • Reasoning trace per recommendation

    Operators can't trust what they can't audit; the trace is the trust primitive.

  • Operator-authored execution rules (DSL)

    Autonomous AI execution is a regulatory and risk minefield; operators stay in the loop by construction.

  • Append-only audit ledger with replay

    Compliance, post-mortem, and iteration all depend on the same immutable record.

  • Backtest harness · walk-forward + calibration

    Most products skip walk-forward; overfitting is the default failure mode.

  • Model-portable across 5 LLM providers

    Vendor lock-in is a single point of failure for any AI-load-bearing product.

Not in scope (yet)
6
  • Autonomous execution without operator rules

    Confused-deputy risk plus regulatory exposure; not a product, a liability.

  • High-frequency · sub-second trading

    Operator-in-the-loop architecture is not built for sub-second latencies.

  • Custom LLM training

    Off-the-shelf models meet our extraction-quality bar; no need to maintain a model.

  • Crypto · commodity markets

    Equities-only at pilot; regulatory positioning differs by asset class.

  • Live broker integrations

    Targeting Q2 2026; IBKR + Tradier + Alpaca currently in scoping.

  • Mobile companion

    Targeting Q1 2027; read-only trace and alerts, never for execution.

The in-scope items define the pilot deployment surface. The not-in-scope items establish what we will not pretend to do. Quarterly target dates for the in-flight items sit in Pilot Terms, section 07.

Section 07

Pilot terms

Eligibility · onboarding · mechanics · status · brief us

FIG. x · eligibility
Operator profile

Family offices · RIAs · wealth-advisory practices · sophisticated allocators with operator capacity

Jurisdictions · pilot

United States · European Union · United Kingdom

FIG. xi · shipped · in flight
Shipped
6
  1. Signal-ingest pipelines
    Fundamentals · technicals · PoI · macro across all four lenses
  2. Reasoning-trace generation
    Per-lens weights · counterfactual · source citations
  3. Backtest harness
    Point-in-time replay · walk-forward testing · calibration
  4. Audit ledger architecture
    Append-only · source-provenanced · operator-attributed
  5. Setup rule-builder schema
    Code-like DSL · pre-trade simulation against history
  6. Studio code-review discipline
    Same engineering practice as Verum + LynkedUp Pro
In flight
6
  1. Live broker-API execution
    Q2 2026
    IBKR + Tradier + Alpaca integrations scoping
  2. Alpha pilot · family offices
    Q3 2026
    5 to 7 pilot operators · paper-traded recommendations first
  3. Multi-broker routing
    Q4 2026
    Best-execution gateway across pilot brokers
  4. SEC IA registration where applicable
    Q4 2026
    Counsel engagement plus state filings
  5. Mobile companion
    Q1 2027
    Read-only reasoning trace plus alert delivery
  6. EU MiFID II posture
    Q2 2027
    Suitability + audit assessment for EU pilot operators
FIG. xii · onboarding · 13-week journey
  1. / 01Week 1

    Intro + setup review

    Call with our team. Share your existing setup, broker preferences, time horizon.

  2. / 02Week 2-3

    Sandbox + 12-month replay

    We provision your sandbox and replay your last 12 months against Auspex's pipeline.

  3. / 03Week 4

    Live signals · paper trade

    Real signals on your watchlist. Orders route to a paper account; nothing live yet.

  4. / 04Week 5-12

    Operator-rule iteration

    You author setups. We observe + audit. Iteration cadence sets the pilot rhythm.

  5. / 05Week 13

    Pilot decision

    Continue to paid · joint case study · or part ways. Operator decides; we honor either.

FIG. xiii · what to bring · operator checklist
  1. 01
    Twelve months of trade history

    Or equivalent broker statements. We replay against this.

  2. 02
    Current strategy or setup documented

    Plain language is fine. We translate it to the setup DSL together.

  3. 03
    Broker preferences

    IBKR · Tradier · Alpaca currently in scoping. Tell us what you use.

  4. 04
    Time commitment expectations

    Approximately 2-4 hours per week during weeks 4-12. Lighter at start and end.

  5. 05
    Existing audit or compliance posture

    Whatever your firm already operates under. We integrate, not override.

FIG. xiv · pilot mechanics
Cost
Free

Full pilot, 90 days, no charge. Paid tier discussed at pilot conclusion.

Duration
90 days

Extendable by mutual agreement. Most pilots conclude at week 13.

Exit
30-day notice

Either side. Operator owns all data on the way out, no exit cost.

Data
Operator-owned

All recommendations + audit ledger + replays exportable on exit.

§ 10 · Engage

Open the audit before you open the trade.

Pilot program opens Q3 2026. Family offices, RIAs, and wealth advisory practices invited. Brief us with your existing setup; we'll show you the reasoning trace next to every recommendation Auspex would have generated against your last twelve months of market data.

Incubating · pilot program · Q3 2026edition · 001 · sample brief
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