Your backtest passed. Prove it.

Sigmentic validates algorithmic trading strategies with institutional-grade rigor. Upload your backtest, and our seven-layer engine tests whether your edge is statistically real, causally grounded, and robust across market regimes. You get back a Validation Passport — a portable, cryptographically verifiable report you can share with investors or use to guide your own capital allocation.

An estimated 87% of backtested strategies fail in live trading. The core problem: traditional backtesting answers the wrong question — "would this have been profitable?" instead of "is this edge real?" Academic research has shown that most published trading factors are likely false discoveries, and that strategy returns decay significantly after publication. Common failure modes include overfitting to historical noise, spurious correlations mistaken for signal, regime dependency, and unrealistic execution assumptions.

The Validation Passport is what you receive after validation. It contains layer scores, a composite Validation Score, and the statistical evidence behind each result. The Passport is cryptographically signed and portable — share it with investors, prop desks, or compliance teams without revealing your strategy logic.

Each layer targets a different failure mode. L1 tests statistical robustness. L2 verifies causal grounding. L3 stress-tests against unseen scenarios. L4 evaluates regime robustness. L5 models real-world execution frictions. L6 monitors for post-deployment decay. L7 ensures cryptographic integrity. Together, they cover the full surface area of strategy risk — book a demo to see each layer in detail.

Pine Script (TradingView), Python, MQL5 (MetaTrader), natural language description, and direct API submission. All inputs are converted into a canonical format before flowing through each validation layer — so you can use whatever tools you already trade with.

Absolutely. Zero data retention on strategy inputs — your logic is never stored or shared. For institutional users, Layer 7 offers confidential validation using trusted execution environments: your strategy runs inside a secure enclave, meaning no one — not even Sigmentic — can see your proprietary logic.

Overfitting happens when a strategy captures historical noise rather than genuine patterns — it looks great in backtesting but fails live. Layer 1 uses a proprietary battery of statistical tests, grounded in peer-reviewed research, to quantify the probability that your strategy is overfit. The result is a clear, evidence-based verdict — not a guess.