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Models, signals or full ensembles enter a standardized intake.
Architecture
The system is designed around standardized model intake, hidden evaluation, live paper trading, ensemble contribution scoring, risk review and compliance gates.

Inside the platform
Models, signals or full ensembles enter a standardized intake.
Schema, metadata and quality checks make contributions comparable.
Hidden environments reduce overfitting and reward robustness.
Live simulation tests timing, slippage and risk behavior.
Real contribution matters more than pretty backtests.
Approved components shape clear investor strategy sleeves.
System principles
Research, signals, automation and managed investing are different risk levels and need explicit gates.
Models can serve as universe filters, buy selectors, sell signals, risk overlays or allocators.
Strategies need position limits, sector limits, turnover expectations, drawdown controls and audit trails.
