Email usBook a call (opens in a new tab)
Research

Notes from the lab.

Quant, engineering and market-structure research from the systems we build and run. Practical, technical and free of hype. New research is published monthly.

Latest · Business1 October 2026 · 7 min read

White-Label Trading Platforms: Build, Buy or Partner?

A decision framework for brokers, prop firms, educators and fintech startups weighing an off-the-shelf licence against a custom build or a white-label development partner.

Read the research
Fund technology7 min read

What an Investor Portal for an Emerging Fund Manager Actually Needs

The features an emerging manager's investor portal genuinely needs on day one, what can wait, and how to build it so the data stays correct and private.

Read the research
Quant9 min read

Sharpe vs Sortino Ratio: Why One Lookback Is Never Enough

Sharpe and Sortino are simple to define and easy to get wrong. Correct formulas, honest annualisation, and why a single lookback window hides more than it shows.

Read the research
Engineering9 min read

Market Data Feeds That Don't Go Dark: A Three-Tier Fallback Design

How we keep live scans running when a data source fails. A broker-terminal primary, a server-side secondary and a commercial vendor tertiary, with every bar tagged by source.

Read the research
Engineering9 min read

How to License and Protect MT5 Expert Advisors and Indicators

How to sell MT5 Expert Advisors and indicators without giving the strategy away, and without making life miserable for the customers who actually paid.

Read the research
Quant10 min read

Black-76 vs Black-Scholes for Futures and Index Options

Futures and index options are priced off a forward, not a spot price. Here is how the Black-76 model works, where it differs from Black-Scholes, and where implementations go wrong.

Read the research
Start a project

Want this thinking applied to your platform?

The research comes from production systems. We can build the same rigour into yours.

Prefer email or phone? hello@aurionlabs.io · +44 7832 617626