BUILD & PROVE

Prove any idea before it touches your book.

The proof engine behind the platform. Express a systematic idea — factor tilts, long/short, optimizer, regime awareness — and it runs straight into an honest walk-forward backtest with overfitting gates. What survives becomes a book Aegis can manage and Vega can stress.

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Strategy Builder, live at app.tradepolaris.com/strategies

What you get

Express the idea, three doors in

Compose factors, weighting and constraints in a clean builder, write real Python with the sandboxed SDK — or describe it in a sentence and let Vega draft either.

Gates that will fail your curve-fit

Walk-forward only, survivorship-free, with deflated-Sharpe and PBO overfitting checks. The defaults are the honest ones — a flattering backtest gets rejected, not celebrated.

Straight into the cockpit

A strategy that survives becomes a book: manage it in Aegis with live VaR, stress and factor risk, or paper trade it with signals to your inbox — not a dollar at risk.

Alpha DSLStrategy SDKOptimizerRisk model

Zero code to full control

Build it your way.

The same honest engine, three doors in — click it together, write real Python, or take the signals with you.

From point-and-click to production Python.

Every strategy runs through the same walk-forward engine and the same overfitting gates — no matter how you author it.

No-code builder — factors, exits, optimizers and risk models, declaratively.
Python SDK — full control in a sandboxed runtime, zero lock-in.
Own your edge — export the spec, the plain-English rule sheet, or Pine.

strategy: momentum-x-sectoruniverse:   { region: US, top: 500 }signals:  - momentum(126) - momentum(21)  - filter: adx(14) > 20portfolio:  { long: 50, weighting: risk_parity }exits:      { trailing: 8%, invalidation: signal_flip }validate:   { walk_forward: 5y, costs: realistic, gates: [DSR, PBO] }