AAPL

Apple Inc.

188.42 +2.38 (+1.28%)

High: 189.16
Low: 186.23
Volume: 58.7M
Market cap: 2.93T
Sector: Technology

Financial evidence universe

Official facts, macro vintages, filings, markets, policy, positioning, and semantics

SAR-08 adds a canonical source, rights, and revision ledger beneath the deterministic Truth Clock over the evidence fabric and private browser memory. The TF-IDF/SVD encoder is explicitly B0 Classical Baseline while transformer candidates remain evaluation-gated. Every admitted item retains source identity, valid time, observed time, parser policy, and a deterministic path into QuantState.

32 external source contracts valid + observed time ABI 1.6

Source registryLoading deterministic fixture…

Loading source capabilities and rights boundaries…

Source Reliability LabInternal acceptance · no live promotion

Prove each financial source before it can influence a signal

Every external source must pass transport, schema, identity, chronology, units, revision, idempotency, replay, failure, rights, reconciliation, and observability gates. A successful HTTP response alone is never enough.

Loading source proof

External contracts32normalized and internally tested

Provider-shape fixtures4offline parser proof

Internal checks523contract corpus acceptance

Live promoted0target canaries still required

QuantState foldpendingABI 1.6 deterministic state

Loading source contracts and offline proof…

FRED / ALFRED Time MachineSAR-09 · provider-shape fixture · 0 live promoted

Reconstruct what was knowable before and after a macro revision

The revision stream, first-release values, vintage dates, as-of snapshots, promotion gates, and macro receipt stay separate and inspectable. Fixture values are synthetic and date-granular.

Series Before cutoff After cutoff

Initial releaseRevisionAfter-cutoff state

After observations—

Revision versions—

Latest after value—

Latest revision delta—

Before observations—

Changed observations—

Macro receiptpending

Promotion statecredential-blocked

Before / after comparisonpending

First target promotion campaignpending

Credential blocked0 / 3 canaries · 0 / 2 UTC days

Target-environment canaries, recovery evidence, and rights attestation are still required.

Plan / manifestfixture pending

Provider-shaped fixture proof only. No live FRED/ALFRED request or current freshness claim.

Provider-Neutral Market ChronologySAR-10 · synthetic fixture · 0 live promoted

Replay prices, sessions, corporate actions, identity, and entitlements as one governed timeline

Raw bars remain immutable. Split-adjusted views are derived from separately versioned corporate-action events. Exchange sessions, provider mappings, disagreements, and rights stay visible instead of being silently flattened into one chart.

Instrument Before cutoff After cutoff Price basis Provider view

Raw primary closeSelected basisProvider disagreement

Open sessions—

Before bars—

After bars—

Effective actions—

Adjusted history—

Provider disagreements—

Market receiptpending

Entitlementblocked

Exchange session calendarpending

Corporate action ledgerannouncement → effective

Instrument + provider identitypending

Rights + retentionpending

Fail closedRaw redistribution blocked · live fetch unauthorized

Before / after chronology comparisonpending

Plan / manifestfixture pending

Synthetic provider-shaped fixture proof only. No live price, commercial entitlement, current freshness, or predictive-edge claim.

Next checkpointAfter SAR-10: run the full local test campaign, then configure and validate the Azure authority plane.

SEC filing + fundamental fabricFixture · official-source contract

CIK Maximum filings

Waiting for evidenceSubmissions, XBRL facts, comparable sections

Recent filings

Typed facts

Semantic filing delta

Load the fixture to align comparable sections and expose added, removed, and materially revised language.

Plan / manifestfixture pending

Semantic Factor FoundryMLWorker → QuantState ABI 1.6

Turn evidence into inspectable factor inputs—not an opaque sentiment score

Embedding, relevance, event type, stance, uncertainty, novelty, authority, exposure, and age decay remain separate. SAR-08 retains a checksum-verified 64-dimensional TF-IDF/SVD encoder only as B0 Classical Baseline. Event type, stance, and uncertainty remain deterministic bootstrap classifiers until real learned models pass time-, entity-, and source-split gates.

ML worker starting

Research thesis

Pressure—signed evidence impulse

Support share—weighted positive stance

Contradiction—weighted negative stance

Uncertainty—explicit ambiguity

Novelty—new information weight

Effective breadth—independent evidence mass

Disagreement—support vs contradiction tension

Factor hashpendingABI 1.6

Run the semantic pass to inspect every evidence item and its factor contribution.

ContradictionNeutralSupport

B0 Classical Baseline is active through a parity-tested float32 executor. It is a retrieval fallback and wiring benchmark—not a transformer and not evidence of predictive accuracy.

Canonical Evidence LedgerQuantState ABI 1.6 · loading

Every admitted signal begins with an inspectable source, rights policy, timestamp, and immutable payload identity

The ledger is tied to the Truth Clock. NOW shows the latest accepted evidence; REPLAY removes anything observed after the selected cutoff; TEST keeps the same evidence base while isolating hypothetical assumptions.

Ledger hashpending

Events as-of—

Active sources—

Revisions—

Rights boundary—

Minimum authority—

Raw payload→SHA-256 identity→Rights + authority→Valid / observed time→Canonical event→QuantState fold→State Receipt

Waiting for Truth Clock cutoff

Loading canonical evidence events…

Fetch / fixture→immutable raw payload→valid + observed time→typed canonical events→ONNX semantic features→C17/WASM factors→state capsule

Fixture mode is active. Live provider credentials and policy confirmations can be configured later without changing the browser contracts.

Source fabric

Provider intake and canonical admission

Inspect broad provider routes without a network call. Collection remains fail-closed until authorized use is configured on the server.

Checking policy

Yahoo research adapter JSON metadata and market payloads only. No login automation, cookie harvesting, CAPTCHA handling, proxy rotation, browser fingerprinting, HTML crawling, or article-body collection.

Symbol Range Interval

Bars0

Endpoints0 / 8

Canonical events0

News metadata0

Datasets0

Fields0

Acquisition planPlan not inspected

Inspect the plan to see the allowlisted provider routes and their research purpose.

Admitted manifest plan-only · no payload admitted

The plan inspector is safe to use before provider configuration.

Edge AI + local retrieval

Browser-local Vector Fabric

B0 Classical Baseline feeds a verified int8 vector pack, exact C17/WebAssembly cosine search, and deterministic ABI 1.6 rank fusion. A real transformer bakeoff remains ahead. Artifacts and capsules persist to OPFS when the browser supports it.

C17/WASM ABI 1.6 learned 64D hybrid fusion local-only

Private local retrievalNo cloud request

Initializing worker, checksum, and vector memory…

The first local search runs after the verified pack is loaded.

Vector store manifestLoading

Records: —
Dimensions: —
Quantization: —
Storage: —
Embedder: —
Corpus cutoff: —

SHA-256 pack verification pending C/WASM canonical pack hash pending

A real ONNX artifact packages the B0 TF-IDF/SVD baseline and is checksum-verified. The active browser executor is a deterministic float32 projection path parity-tested against exported vectors; ONNX Runtime Web providers remain gated until their binaries are installed and benchmarked.

Deterministic edge ledgerStarting

Events0

Canonical sequence0

Observed cutoff—

Storagememory

Research capsule SHA-256 pending

Query→B0 local embedding→C17/WASM int8 top-K→ABI 1.6 signal fusion→private feedback→cloud refresh only when needed

Device-private research intelligence

Private Research Memory

Notes, theses, explicit relevance feedback, model manifests, and capsule metadata remain inside one DataWorker-owned store. The B0 local baseline makes the workspace searchable without exposing the research thesis to a cloud model.

schema v5 OPFS local learned 64D

Capture a private noteLocal-only · not shared

Semantic search over your own workNo cloud request

Initializing OPFS store and learned embedder…

Private results appear after the store and model parity gates pass.

Active thesis memoryFalsifiable · versioned

Loading local theses…

B0 baseline embedding acceptanceVerifying artifact

Modelpending

Dimensions—

Top-1—

Recall@3—

MRR—

Int8 agreement—

Parity max error—

Executor—

ONNX SHA-256pending

Metrics apply only to the bounded local research-concept acceptance set. They do not imply market prediction skill.

Private store diagnosticsStarting

Active engine: —
Schema: —
Notes: —
Theses: —
Feedback labels: —
Embedded records: —
SQLite adapter: —

Private snapshot SHA-256pending

The active store is being negotiated.

Private note→B0 local embedding→single DataWorker→OPFS snapshot + journal→explicit feedback→future bounded preference head

Private memory initializes without provider credentials.

QuantState timeline

Replay the regime

Move through exactly what the research computer knew at each event sequence.

Nov 01, 2023 Jun 10, 2024 Aug 15, 2024

Loading canonical events…

Sequence206

Observed cutoff2024-08-15

Branchbase

WASM state hashloading…

Numeric policyqs-abi-1.6-evidence-ledger

Latest knowable event—

Loading event fixture…

The Truth Clock will show only events observed at or before the selected cutoff.

———

As-of proofABI 1.6

Applied events: —
Not yet knowable: —
Source fold: —
Warnings: —

Scenario lab

Test a market thesis

Every slider creates an explicit branch; the base evidence state stays immutable.

Experimental

Hypothesis

If AI monetization strengthens while rates stabilize, relative performance improves over 20 sessions.

Narrative strength 72 10Y rate shock 0 bp Volatility regime 42

Deterministic scenario score +6.3% Not a forecast. A branch result under explicit assumptions.

68%

Stability gateOut-of-sample pending0 / 8 research gates passed

Equation forge

New math, testable first

Models propose typed operators. C17/WASM calculates. The experiment harness decides.

Candidate QI-ρ-001Queued

Shockₜ = Dᴮ(ρₜ, ρₜ₋₁) × Authorityₜ × Noveltyₜ

Quantum-information-inspired narrative density shift. This is classical matrix math—not a claim of quantum advantage.

01SpecifyTyped target and horizon

02CompileC17/WASM expression

03ReplayPurged walk-forward

04StressRegime and revision tests

05PromoteOnly if gates pass

QI-ρ-001Density state20D residualQueued

RP-SIG-004Path signatureTail riskTesting

KOOP-011Operator spectrumRegime shiftBaseline

Paper-to-experiment foundry

Research radar · July 2026

Reproduce a claim before borrowing it. Every paper becomes a typed experiment, a baseline comparison, an as-of replay, and an optimization target.

Preprints are candidates

Agentic forecasting2026

Nexus + forecasting-planner separation

Keep the numerical simulator responsible for trajectories while the language model ranks or explains them using time-bounded context.

Text + seriesPlannerWalk-forward

Signature methodsJul 2026

Path signatures with finite-sample theory

Test whether ordered price, volume, macro, and semantic event paths carry stable information that rolling summaries discard.

GeometryMixed frequencyTail tests

Koopman dynamics2026

Learnable operators with spectral control

Measure spectral-radius shifts, mode half-life, and eigenvector rotation instead of hiding regimes behind a single label.

RegimesSpectralStable operator

Quantum-information inspired2026

Density state and geometric observables

Test entropy, purity, fidelity, Bures displacement, Berry-like phase change, and basis rotation on classical hardware.

Classical computeDensity matrixNo hype

Quantum-inspired compression2026

MPS / tensor-train interaction compressor

Compress high-order semantic, path, and factor interactions; compare rank, memory, speed, and stability against dense models.

MPSQTTCompression

Schrödinger bridge2026

Counterfactual path transport

Generate reproducible scenario distributions under explicit branch constraints and test stylized facts, tails, and downstream robustness.

ScenariosTransportSeeded

Topological financeJul 2026

Persistent market geometry + sentiment

Use null-validated persistence summaries to detect structural changes and test whether sentiment adds information after turnover costs.

TDANull modelTurnover

Conformal risk2026

Regime-weighted uncertainty envelope

Wrap any forecast with an auditable safety buffer and report coverage, sharpness, and stress-period exceedance clustering.

VaRCoverageNonstationary

No paper queued yet. Choose a lane to create a typed Equation Forge candidate and replication manifest.

Signal ledger

3 candidates

Research

Semantic accelerationAAPL · 2–4 week horizon72%72

Path geometry breakNVDA · volatility68%68

Regime reversal watchBTCUSD · 5 session54%54

Correlation matrix

20 sessions

Residualized

AAPLNVDAMSFTBTC AAPL1.00.78.62.23 NVDA.781.00.70.27 MSFT.62.701.00.21 BTC.23.27.211.00

Volatility regime

Normal

42nd percentile

LowHigh

Realized 20D: 18.6%
IV percentile: 42%
Tail calibration: Pending

Portfolio and risk

$1,285,430

+$12,840

64%net exposure

Equities: 58%
Crypto: 22%
Cash: 12%
Other: 8%

AAPL

Official facts, macro vintages, filings, markets, policy, positioning, and semantics

Prove each financial source before it can influence a signal

Reconstruct what was knowable before and after a macro revision

Replay prices, sessions, corporate actions, identity, and entitlements as one governed timeline

Turn evidence into inspectable factor inputs—not an opaque sentiment score

Every admitted signal begins with an inspectable source, rights policy, timestamp, and immutable payload identity

Provider intake and canonical admission

Browser-local Vector Fabric

Private Research Memory

Replay the regime

Test a market thesis

New math, testable first

Research radar · July 2026

Nexus + forecasting-planner separation

Path signatures with finite-sample theory

Learnable operators with spectral control

Density state and geometric observables

MPS / tensor-train interaction compressor

Counterfactual path transport

Persistent market geometry + sentiment

Regime-weighted uncertainty envelope

3 candidates

20 sessions

Normal

$1,285,430

Why this state?

State identity

Semantic boundary

Why it is visible

Evidence and lineage

Truth boundary

Compute fabric diagnostics

Authoritative lane

Acceleration lane

Safety boundary