SELF-DIRECTED PROJECT / QUANT RESEARCH & EXECUTION

From trading rules to testable software.

Backtest and validation tooling alongside broker-connected monitoring and execution components.

BacktestingValidationBroker APIs

SELF-DIRECTED PROJECT

QUANT RESEARCH & EXECUTION

The problem

A strategy idea is not yet an executable specification. Research assumptions and live execution behavior need to be inspectable.

The approach

  • Implemented options strategy models and common research metrics.
  • Developed or extended optimization and validation tooling, including walk-forward and Monte Carlo modules.
  • Worked on broker-connected monitoring and automation components with operational checks.

What was built

Related research and execution tools across self-directed projects: strategy models, validation modules, broker integrations and monitoring components. Each addresses a different part of the research-to-execution workflow.

How this applies to your team

For clients with an existing strategy: translate rules into explicit tests, model execution assumptions and progress through paper validation before live rollout.

LET’S BUILD SOMETHING USEFUL

What should your team spend less time on?

Tell me about the workflow, platform or strategy you want to improve. We can start with a focused technical conversation.

Discuss your project