Alexander Hines · Systematic Market-Intelligence Platform
Scattered market feeds in. One reliable, leak-proof decision surface out.
An independent, production-grade market-data platform that owns the whole loop — automated multi-vendor ingestion → point-in-time-correct normalization → reliability engineering that fails loud → a governed decision surface where proprietary data cannot leak by construction. The goal is time-to-insight: replace manual refresh with monitored, push-based state. This page is that surface, running live.
The loop — feed to decision, owned end to end
Pipeline scale — verified, point-in-time, multi-vendor
rows ingested with 0-delta vs source (reconnect-hardened, 139 GB)
intraday auction prints, field-validated (2003–2026)
point-in-time data contracts, leak-tested in CI
catalogued data-source families (115,409 relations mapped)
datasets in the master inventory, freshness-tracked
Pipelines · reliability · security
Own the stack, fail loud, don't leak
Memory-safe, resumable, reconnect-hardened ingestion; a self-generating coverage catalogue; and a redaction chokepoint where proprietary data cannot leak by construction.
Explore the infrastructure →Execution · measurement
Measure the truth, not the intent
Fills reconciled field-by-field against the official market print; a +116 bp routing defect diagnosed from real data — the discipline of measuring what actually happened.
See the measurement →Signal vs noise
Surface what matters; kill the rest
Falsification-first research: regime and anomaly detection, event→exposure mapping, and the discipline to suspend contaminated findings rather than ship vanity metrics.
Read the discipline →The decision surface, monitored live
Feeds healthy
Paper NAV
Publish integrity
redactedIDs masked · secrets stripped · refuses if liveRefresh
hourlypush-based, not manual F5The research the pipeline feeds — held to an honest bar
Candidate book (26.1% CAGR) before modeled costs — the ceiling the search produced.
A look-ahead leak was found in the dominant sleeve; the headline was suspended, not adjusted.
Pre-registered book: ~1.40 before / 1.05 after modeled costs (1.07 holdout).
The stronger candidate is under live paper test. Execution cost is the binding uncertainty.
Sharpe figures are annualized, hypothetical/backtested, before vs after conservative modeled implementation costs. No live-capital track record is claimed. The point isn't the number — it's the discipline: strong generation, adversarial gating, and suspension of anything that doesn't survive.