From raw series to publishable signal in one path.

Your quant lab in the browser: build, test, and ship strategies from one coherent stack.

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Workbench

Research, clean data, fast APIs & signal development.


Core capabilities

Data

Clean, consistent tables

  • Continuous futures + multi-asset ETFs
  • Macro & technical feature sets
  • Documented roll & freshness metadata
SQL / REST

Query at sub-second speed

  • Unified schema across assets
  • Read-only keys with sensible quotas
  • Great for notebooks or apps
Notebooks

From raw → backtests

  • Reproducible templates and tutorials
  • Feature engineering & sanity checks
  • Walk-forward & out-of-sample splits
Signals

Versioned, deployable models

  • ML + rule-based hybrids (DeMark, etc.)
  • A/B, calibration & promotion rules
  • Live dashboards for performance

Do this in minutes

Template

Backtest a base strategy

Spin up a mean-reversion or breakout template, swap features, and export a clean report.

Request access

Probability

Run a probability sweep

Calibrate, gate, and compare variants (prob vs. bypass) with Brier/ECE and simple promotion rules.

See methodology

Deploy

Promote to live

Pick S1–S6 manifests, apply guardrails, and publish signals to the dashboard for review.

Open dashboard

MTM

Query returns & MTM

Pull realized and mark-to-market series, slice by instrument/side/horizon, and download CSVs.

View P&L


For advisors

Need client-facing tools?

Advisor Studio handles model portfolios, asset-location guidance, and client-ready PDFs—on the same rails.

Explore Advisor Studio