npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

@samsmith2121/synthetic-leverage-engine

v0.1.2

Published

Engine and tests for a synthetic leverage simulator

Readme

synthetic-leverage-engine

Engine and tests for a synthetic leverage simulator

Handoff note for UI builders

  • The engine is the single source of truth for financial logic.
  • UI integrations should import from src/public-api.ts (or package root exports that re-export it) and call engine functions only.
  • UI integrations should avoid importing low-level internal engine files directly unless the public engine surface is intentionally extended first.
  • Do not duplicate backtest, Monte Carlo, benchmark, validation, metrics, diagnostics, or cost logic in UI code.
  • Cash yield behavior is explicit and configurable (cashYieldDaily); zero-yield is a supported/default mode, not the only mode.
  • If UI needs new output shapes, extend the engine first and keep locked accounting order unchanged.

The repository now includes a deterministic research workflow on top of the trusted fixed-path engine:

  • Strategy diagnostics explaining exposure, transitions, cost mix, drawdown profile, and benchmark-relative behavior (buildStrategyDiagnostics via run summaries)
  • Sensitivity analysis utilities:
    • one-way sensitivity (runOneWaySensitivity)
    • two-way sensitivity with grid-friendly cells (runTwoWaySensitivity)
    • deterministic ranking helper (rankStrategyRuns)
  • Structured analysis warnings (AnalysisWarning) surfaced directly in strategy/sweep/scenario outputs
  • Rule-based research summary builders (buildResearchSummaries) for decision-ready but descriptive recommendations
  • Export-ready flat rows for downstream CSV pipelines:
    • backtest summary rows
    • strategy comparison rows
    • parameter sweep rows
    • scenario rows
    • one-way/two-way sensitivity rows
    • diagnostics rows

Core files:

  • src/analysis.ts
  • src/reporting.ts
  • src/analysis-cli.ts (minimal script entry point)

Minimal CLI usage

Build first:

npm run build

Run modes:

node dist/src/analysis-cli.js comparison <days.json> <config.json> <payload.json>
node dist/src/analysis-cli.js sweep <days.json> <config.json> <payload.json>
node dist/src/analysis-cli.js scenario <days.json> <config.json> <payload.json>
node dist/src/analysis-cli.js backtest <days.json> <config.json> [payload.json]

Payload JSON provides typed strategy variants, sweep grids, or scenario definitions.

Model validation harness

Run the automated model validation suite:

npm run validate:model

The harness prints a human-readable PASS/FAIL/WARN report for each validation case, including actual values and expected conditions. It also prints a summary with total passed, total failed, and warnings. The command exits non-zero when any core validation fails.