Private · options research

Infinity

Private options strategy research infrastructure that turns source material, proof windows, quote audits, and readiness gates into a disciplined strategy lab.

Private code Evidence pipeline Review on request

Problem

Strategy research becomes dangerous when attractive results move straight from inspiration to execution. The system has to preserve source material, test fidelity, proof windows, quote quality, and staged readiness.

What I Built

I built Infinity as private options research and execution-readiness infrastructure that treats trading rules as a traceability problem. Every numeric strategy parameter is tied to a primary-source citation, and a static no-uncited-numbers gate enforces it. Performance claims always reference named in-sample and out-of-sample proof windows rather than open-ended history. Dedicated quote audits cross-check modeled fills against real bid/ask history to verify a modeled price was ever actually quoted.

Nothing is asserted without a backing artifact: the system maintains ~276 regenerable evidence artifacts, and promotion toward execution runs through staged readiness gates with a programmatic completion verifier and a kill switch.

System Shape

Sanitized Infinity strategy lab with fake source map, proof windows, quote audit, and readiness gate.
Synthetic strategy-lab view. It makes the research-to-readiness pipeline visible while hiding exact rules, real trade data, account scale, broker details, and timing-sensitive results.
Synthetic Infinity proof-window report with fake quote audit and readiness checklist.
Synthetic proof-window and readiness screen. It shows evidence quality, quote-audit thinking, and staged promotion without revealing real strategy rules or trades.
Synthetic Infinity source-to-rule map with fake source notes, rule categories, and evidence gates.
Synthetic source-to-rule map. It shows how a strategy claim traces from source material to rule categories, tests, and readiness gates without revealing the actual edge.

Technical Decisions

  • Keep strategy understanding separate from execution readiness.
  • Tie every parameter to a primary-source citation and gate builds on it statically.
  • Fix proof windows by name so no claim can quietly cherry-pick its time slice.
  • Audit modeled fills against real bid/ask history to avoid misleading backtest confidence.
  • Promote only evidence-backed versions through staged gates, verified programmatically, with a kill switch on the far side.

What This Proves

A research-to-live pipeline that treats trading rules as a traceability problem: ~28K lines of Python, 320 tests, ~276 regenerable evidence artifacts, and no path to live orders except through a fixed contract of gates. No parameter without a citation, no claim without an artifact.