Proof & Transparency

We believe trust is earned through clarity. This page aggregates model cards, risk disclosures, and methodology notes for our AI strategies. Live audit logs and telemetry snapshots are available to authorized users.

Model & Strategy Cards

Overview of each strategy: objective, data sources, backtest horizon, live start date, retraining cadence, guardrails, and known limitations.

Probability Engine (v1): Bayesian calibration, walk-forward validated
Dynamic Position Sizing (v1): Kelly-based with volatility and concentration limits
Causal Reasoning Engine (v0): DAG inference for counterfactual analysis
Event Prediction (v0): Online stats for spike/gap/momentum probabilities

Risk Disclosures

Past performance does not guarantee future results. All strategies carry risk, including potential loss of principal. Do not trade with funds you cannot afford to lose.

VaR/ES metrics are estimates, sensitive to regime shifts
Backtests include realistic fees/slippage assumptions when noted
Live execution includes risk gating and kill-switch thresholds

Auditability

Every trade decision produces a signed JSON record with inputs, outputs, and rationale. We periodically publish anonymized aggregates and verification procedures to external reviewers.

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