Set the universe, signal, weighting and risk limits in the builder or Python. Every strategy runs through the same walk-forward tests and overfitting checks before it reaches Aegis or paper trading.
Use the visual builder, write Python with the sandboxed SDK or describe the rules and let Vega draft them.
Walk-forward tests include universe warnings, Deflated Sharpe and Probability of Backtest Overfitting. Results that fail the checks are clearly marked.
Open a tested strategy in Aegis to track VaR, stress and factor risk, or paper trade it with email signals.
Use the visual builder, write Python or export the signals. Every route uses the same validation engine.
Every strategy runs through the same walk-forward tests and overfitting checks.
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] }
Start with a sentence or a template, keep control of every rule, and let the evidence decide what survives.
Join beta →Backtested / walk-forward results are hypothetical, do not represent actual trading, and are not indicative of future results.