C# / Lean-compatible native engine upgrade package

QCL Native Pack 001

An audited native research upgrade package for QCL/Lean-compatible systematic trading research workflows.

+31.54% mean native price-level cumulative-return delta
336 curated Yahoo validation universe
15 licensed upgrade components

What it is

QCL Native Pack 001 is a completed research/evaluation package for QCL/Lean-compatible workflows. It is designed for teams evaluating engine-level research improvements in systematic trading environments.

The package is intended for evaluation by quantitative researchers, systematic trading teams, platform operators, and potential licensing or revenue partners.

Primary validation result

The package produced a +31.54% mean native price-level cumulative-return delta across a curated 336-symbol Yahoo validation set on the held-out test split.

Exact decimal value: 0.3154268035110944469576241725.

Method: native event-return mean-position-sign equity curve.

Package boundaries

Validation universe relevance

The headline validation result was measured on a curated 336-symbol Yahoo validation universe selected for financially relevant, liquid, high-attention market coverage.

That universe is intentionally enriched for financially important, liquid, high-attention market symbols, including major ETFs, index proxies, mega-cap technology, semiconductor names, and other widely followed U.S. equities. Examples from the validation universe include SPY, QQQ, VTI, VOO, IVV, DIA, IWM, AAPL, MSFT, AMZN, GOOGL, NVDA, AMD, AVGO, QCOM, TXN, TSLA, and other high-importance market names.

This matters for interpretation: the 336-symbol result is commercially meaningful because the selected symbols are closer to the liquid instruments that many quant, brokerage, and portfolio workflows care about.

Evaluation access

A refreshed sanitized buyer-delivery package is staged separately. Access is contact-gated.

Restricted evaluation license and broader research license terms are available by request.

Request evaluation access

Request evaluation access through the repository issue link or contact Andrew Cadotte through GitHub.