A regime-aware quant research terminal built for discretionary precision.
AltruEdge is a personal quant research terminal that unifies structural scoring, multi-horizon outcome analysis, behavior buckets, ML-assisted quality filtering, and a full trade journal into a single research environment. It's not a signal feed— it's the analytical infrastructure behind your edge.
- • Structural scoring of idea candidates across horizons.
- • Regime-aware insights and setup scorecards.
- • Behavior-driven playbook families and template paths.
- • ML-derived quality modes that quietly refine your universe.
Access is invite-only while the system is in private alpha. If you're a serious discretionary or hybrid trader, you can request access to evaluate a research terminal built around structure—not trade calls.
Request Access to the Private Alpha
Share your email and a sentence or two about your trading style. You'll receive a personal invite code if accepted.
By requesting access, you acknowledge that AltruEdge is a quant research terminal for research and educational purposes only. It does not provide investment advice or trade recommendations, and participation may be revoked at any time.
Why the AltruEdge Quant Research Terminal exists
Most tools either drown traders in low-quality alerts or force them into someone else's playbook. AltruEdge is built for traders who already have an edge, but want a structural, regime-aware lens on their ideas and execution.
The terminal is designed around discretionary decision-making, not automation or one-size-fits-all trade calls.
Ideas behave differently across 1D, 2D, 5D, and 10D windows. AltruEdge models how structure evolves across horizons instead of forcing a single timeframe.
Behavior buckets, regime tags, and contextual narratives help you understand how your setups behave—not just whether they fired.
The Insights module focuses on your equity curve, your setups, and your behavioral tendencies, not generic statistics or PnL promises.
What AltruEdge helps you see
A structured, regime-aware view of your ideas, outcomes, and behavior—without offering trade recommendations or guarantees.
Multi-factor assessment of trend stability, compression, relative strength, and volume positioning, helping you see which ideas are structurally aligned with your process.
Calibrated 1D / 2D / 5D / 10D outcome mapping shows how structures tend to evolve over several days, rather than collapsing everything into a single timeframe.
Ideas and trades are evaluated within a regime backdrop, helping you understand how your playbook interacts with different volatility and trend environments.
Outcome-driven setup families, behavior buckets, and narrative overlays emphasize how structures move over time, not just where they triggered.
A full trade journal integrated with context, producing equity curves, setup performance, and behavioral diagnostics tailored to how you actually operate.
A lightweight, outcome-trained model quietly helps you focus on higher-quality ideas, while leaving all execution decisions entirely in your hands.
Nightly updates refresh structural estimates, outcomes, and context, allowing the terminal's view of behavior to deepen over time as more data accumulates.