Market discovery & normalization
Kalshi and public context feeds become timestamped, deduplicated market identities with provenance and freshness.
proof: observation ledger + source healthForty-five independent loops turn point-in-time public evidence into competing probabilities, force disagreement into the open, learn only from settled outcomes, and keep research intelligence structurally separate from authority over capital.
Capability counts describe registered repository components, not profitability, deployment readiness, or permission to trade. Current launch status remains NO-GO until every external evidence gate is satisfied.
These diagrams sit near the top of the release and open at full resolution. They are ordinary SVG image assets—not script-rendered diagrams—so GitHub Pages, reduced-motion browsers, screen readers, and static mirrors all receive the same architecture.
This catalog is intentionally broader than a feature list. Each ability names its owning system and its proof boundary, so research tooling, operational visibility, and execution authority cannot blur together.
Kalshi and public context feeds become timestamped, deduplicated market identities with provenance and freshness.
proof: observation ledger + source healthBTC, ETH, and SOL candlesticks across 15m, 1h, 4h, 1d, and 1w with deterministic indicators and pattern markers.
proof: immutable Market Observer chart bundlesDedicated 5-minute paper-twin and 10-minute horizon-evidence tasks grade asset × timeframe × strategy lanes.
proof: forward paper and horizon artifactsSeven league surfaces combine point-in-time games, box scores, EPA, period state, comeback matrices, and player context.
proof: source manifests + event-purged lakesMarket anchors, statistical kernels, power ratings, scoring distributions, live models, and scenario simulators emit attributed probabilities.
proof: preregistered source forecastsVertical specialists and four schema-bound LLM roles preserve dissent under exact routing and paid-call gates.
proof: redacted stored witnesses, zero auto authorityBrier, log loss, ECE/MCE, debiasing, contested-market scoring, and scope-specific uncertainty determine earned weight.
proof: settled contested forecastsTemporal folds, event-cluster bootstrap, fees, liquidity, CLV, partial fills, and negative controls challenge every claim.
proof: predict-before-update reportsEvidence-adjusted edge and settlement velocity divide one bounded pot across holdable, correlation-aware candidates.
proof: Σ grants ≤ pot and grant ≤ askStage, drawdown, clusters, liquidity, TTL, sealed caps, session, credential, and LIMIT-only checks can only shrink intent.
proof: typed blocks + transport witnessesOrders, fills, cancellations, outcomes, corrections, and account snapshots remain separate evidence layers.
proof: append-only identities + correctionsStrategy mining, parameter tuning, quality-diversity search, true crossover, ablation, chaos, and fragility create challengers.
proof: observational until promoted by evidenceBias tendencies, worst-call reconstruction, recruiting, matchup lens, top threat, and development tracking expose blind spots.
proof: report failures surface as failuresIndependent task health, self-heal, snapshots, ledger retention, pruning, vacuum, and allowlisted rotation contain failures.
proof: cadence-bound artifacts + bounded storageOverview, scopes, charts, Arsenal, glossary, readiness, health, and freshness render persisted truth without mutation controls.
proof: loopback-only GET surfaceAllowlisted public candles, indicators, patterns, chart bundles, network status, and source health through read-only tools.
proof: false execution / order / allocation authority
Dummy does not call one model “the intelligence.” Its intelligence comes from preserving provenance, making probabilistic claims before outcomes are known, recording dissent, grading every eligible claim, and constraining what learned confidence is allowed to change.
Timestamped market, venue, macro, weather, roster, schedule, and game-state observations enter with source, freshness, and market identity attached.
Market anchors, statistical kernels, simulations, specialists, and quarantined language-model roles emit schema-bound probabilities at explicit horizons.
Every source keeps its identity. The market, specialist panels, power ratings, and challengers can disagree without their evidence being flattened away.
Observations, forecasts, settlements, corrections, calibration, promotion dossiers, and execution witnesses are retained as separate evidence layers.
Self-scouting, film-room reconstruction, ablation, drift checks, walk-forward replay, and fragility tests ask where the organism is wrong and why.
Allocation, risk, caps, freshness, session, and firewall gates form a monotone chain: each stage can shrink a proposal; none can expand upstream authority.
Every market is priced by a purpose-built model, cross-checked by challengers, and gated on settled evidence before it can earn trust.
Dummy does not hide crypto inside a generic market loop. BTC, ETH, and SOL have dedicated observation, charting, paper-twin, and horizon-evidence paths, while shared forecast, calibration, risk, and research loops retain the asset and timeframe identity.
Coinbase Exchange public candles → immutable content-addressed chart bundles. The dashboard never contacts the provider itself.
Runs BTC / ETH / SOL paper lanes for 15m, 1h, 1d, and 1w cohorts with isolated asset × timeframe × strategy evidence and no capital authority.
Builds forward horizon matrices and evaluates whether each crypto cohort has enough time-consistent evidence to remain a challenger.
ShadowPredator, MispricingMonitor's crypto-fast lane, recalibration, backtests, autoresearch, allocation, and risk preserve the crypto scope instead of merging it into sports evidence.
Public evidence flows in one direction. Each phase produces a bounded artifact for the next one, so a failure can be located, replayed, and explained without pretending the entire organism is one indivisible model.
Discover supported markets and attach point-in-time public context, venue state, freshness, and provenance.
Run every eligible source at the correct asset, league, market type, and horizon; preserve abstentions and reasons.
Debias each opinion and combine it by earned, scope-specific trust while retaining the market as a standing anchor.
Rank evidence-adjusted edge by settlement velocity and divide one bounded pot across candidates that can actually be held.
Apply stage, drawdown, correlation-cluster, bankroll, liquidity, price, and time-to-live gates.
Shadow by default. Any controlled live proof still requires explicit authority, an active session, sealed caps, fresh state, and LIMIT-only transport.
Match orders, fills, cancellations, market settlement, and account evidence without promoting local gate blocks into broker claims.
Brier-score all eligible forecasts, refresh calibration, inspect failures, tune challengers, and append the next promotion evidence.
The monotone rule: fusion cannot outvote calibration, allocation cannot exceed the candidate pot, risk cannot exceed the allocation, and the firewall cannot exceed sealed caps. Intelligence may recommend; only explicit operator authority may permit.
Sizing one order and dividing a budget across many are different problems. The risk brain solved the first — quarter-Kelly under a SHADOW → CANARY → RAMP → CRUISE ladder. Nothing solved the second: the top-ranked candidate took the entire remaining budget its caps allowed, a near-equal rival got nothing, and forty qualifying candidates sized identically to three.
Dummy is not one immortal process. Its intelligence is distributed across independent Windows scheduled tasks that survive reboots, pick up merged code on their next fire, and are individually observed. One slow report, broken feed, or league backfill cannot hold the cognition cycle hostage.
Predator · LivePoller · SportsBoard · Mispricing · CryptoTwin · vNext · USE · AccountSnapshot
Weights · Backtest · Tune · SelfImprove · StrategyMiner · Autoresearch · Simulation
Lake × 7 · WalkForward × 7 · BoxScore × 3 · NFL EPA
Watchdog · Healer · Readiness · Dashboard · DashboardSnapshot
Retention · Prune · Vacuum · LogRotation
The fleet can improve models, weights, calibration, and candidate selection. It cannot rewrite truth rules, lower promotion evidence, widen sealed caps, mint an operator signature, or grant itself a live session.
The Dummy operator board is a loopback-only, read-only web board at
127.0.0.1:8787. It reads persisted artifacts and exposes no scheduler,
configuration, authority, capital, model-provider, or broker mutation endpoint.
Split-flap values change only when evidence changes, and a ⌘K palette jumps to any
coin, league, model role, or saved theme.


Dummy keeps four layers deliberately separate. Moving upward requires new evidence; no lower layer is allowed to imply the layer above it.
A timestamped probability from an identified source, scope, market type, and horizon—made before the outcome.
Outcome-linked Brier, log-loss, closing-line, sample-size, and event-cluster evidence produced by forward grading.
A bounded dossier showing a challenger met preregistered evidence gates for a defined role and scope.
An explicit, operator-held, time-bounded control contract checked again at the central execution firewall.
null rather than false. "Not tradable" and "we never looked" are different factsBROKER_REJECTED never reached a broker — no submit call, no endpoint, no payload, submit disabled throughout. Both were local gate blocks wearing a broker's label; the rejection classifier and truth layer exist because of them