Live trading runtime for ML4T strategies with broker integrations, risk checks, and shadow mode.
IX-MissionProof turns operational records into bounded, reviewable claims & prevents AI output from being mistaken for proof, approval, certification, or permission. It links evidence, decisions, authority, alerts, and lifecycle history under explicit human review.
Provable execution membrane for high-stakes AI actions, with offline-verifiable governance bundles.
Control-plane prototype for XRPL-native lending workflows, featuring vault/broker/loan orchestration, two-phase signing, deduped outbox, evidence chaining, and operator-facing controls. Strategic preview only.
Trading product case: market-regime logic, causal backtesting, monitoring, and fail-closed practice execution.
Verification-led Kalshi order planner with dry-run-first controls and MIT-licensed source
Offline quantitative-research case study for evaluating agent cadence inside deterministic risk, paper-ledger, and recovery controls.
Business Analyst case study for payment exception management, including requirements, workflows, controls, UAT, traceability, wireframes, sample data, and Python validation.
Governance-artifact representations, schemas, and redacted decision samples preserved for audit-oriented review, with explicit provenance and enforcement-verification limits.
Anonymized engineering notes, dry-run demo, and delivery checklists for SignalCraft Labs trading API automation.
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