The cage is more valuable than the animal.
Fail-closed decision governance for AI-driven trading. Built and proven first in live crypto markets. Portable across asset classes and AI-governance applications.
Mentor Sentinel is currently in live paper-trading validation while we prepare the first controlled deployment. Join the early access list to receive roadmap updates, deployment milestones, and pilot availability ahead of the planned Q3 2026 public launch.
Built first for crypto. Designed for every high-consequence market.
Crypto is where we prove the framework under live-market uncertainty. But the trades are not the product. The governance architecture is. And it travels. Different markets change the data feeding each stage; the fail-closed thesis lifecycle stays exactly the same.
Crypto is the proving ground
The full governance pipeline runs autonomously against live crypto markets in paper mode: real market data, real exchange pricing, thousands of cycles, no human in the loop. It is the hardest, highest-friction place to prove the architecture works.
The architecture is the product
The value isn’t the individual trades. It’s the fail-closed, thesis-lifecycle, one-way-ratchet governance that decides whether an AI is allowed to act at all, and forces it to default to inaction under uncertainty.
Markets change inputs, not the rules
Move to equities, futures, forex, or prediction markets and the data sources change. The seven-stage pipeline, the fail-closed default, the written thesis, and the one-way ratchet do not. That portability is the entire thesis.
One governance framework. Many markets.
Crypto is live today and the strongest proof we hold. The other markets are expansion and licensing surfaces, where the same fail-closed architecture applies, with the data inputs swapped for each venue.
Crypto
Runs autonomously on live crypto markets in paper trading. Every decision passes through seven independent checkpoints: research, shortlist, structural veto, signal analysis, entry, enforcement, and continuous monitoring. Any checkpoint that can’t reach a confident answer blocks the trade.
US Equities
The first expansion target. The same pipeline, where lower round-trip costs let more of the decision edge survive. Catalyst-driven swing trades are the natural hold window for thesis degradation to be observable and actionable.
Futures
The low-cost macro venue. Micro contracts and a nearly continuous clock make futures a natural governance market, rich with macro events that confirm or break a thesis in real time.
Forex
The closest traditional analog to crypto’s continuous clock. Major pairs move on rate differentials and central-bank policy, scheduled, machine-readable events the framework was built to detect.
Prediction Markets
The purest thesis-invalidation analog. A poll, a ruling, or a data release can directly falsify the reason for holding a position, exactly the event the monitoring loop is designed to act on.
AI Governance
The cage as a standalone product. Not every AI decision is a trade: agent platforms, AIOps, code-review systems, and autonomous remediation tools all need auditable oversight that reports what it finds regardless of what it finds.
High-level segment positioning is public. Detailed architecture is available under NDA for qualified partners. Compare all six segments on the Market Segments overview, or see the Technology page for the fail-closed pipeline that every market shares.
System Performance Snapshot
All figures are paper-trading results unless stated otherwise.
How We Compare
The governance framework is what makes the results possible. These benchmarks show context for the outcomes. The architecture that produces them is on the Technology page.
| Benchmark | Win Rate | Annual Return | Source |
|---|---|---|---|
| Mentor Sentinel | - | - | Live paper trading |
| Retail Day Traders | ~28% profitable | Negative (72% lose) | FINRA |
| Algo / Bot Traders | 55–70% | Varies | Industry data |
| Top Professional Traders | 50–63% | Varies | Industry surveys |
| Hedge Funds (2025 avg) | - | 10.5% | BNP Paribas |
| Crypto Hedge Funds (2025) | - | 36% (quant: 48%) | Industry data |
| S&P 500 (long-term avg) | - | 10.4% | Historical |
| Avg Individual Investor | - | 2.9% | JPMorgan |
Profit Factor measures gross profits divided by gross losses. Above 1.5 is considered strong.
Built Different. Built Safer.
Four core principles that separate Mentor Sentinel from rule-based algorithms and unguarded automation.
AI Intelligence
Scans the market, reads the chart, and identifies high-probability opportunities every two hours using a multi-stage research pipeline.
Written Thesis
Every trade has a clear written thesis with validation and invalidation levels before entry. No thesis, no trade. The system fails closed by design.
Mechanical Guardrails
Hard risk limits, per-trade loss caps, and auto-defense that operate independently of strategy logic and cannot be overridden by the AI.
24/7 Monitoring
AI continuously re-evaluates every open position every 15 minutes, adapting to changing conditions with no emotions and no downtime.
Risk Controls That Never Switch Off
Six independent protection layers. No layer can be overridden by strategy logic. When in doubt, the system does nothing.
Fail-Closed Design
If a thesis can’t be generated or validated, the system doesn’t trade. Inaction is always the safe default.
Hard Loss Limits
Daily drawdown and per-trade max loss are hard-coded by the operator. Hit the limit, the system halts. No model can override.
Structural Health Veto
Sustained bearish structural signals on the market’s anchor asset trigger a hard veto on new entries across the portfolio.
Fear & Greed Gate
Extreme market fear automatically restricts new long entries at configurable thresholds.
Mechanical Exit System
Trailing stops, partial profit targets, time-based exits, and emergency closes run independently of entry logic.
Continuous Position Review
Every 15 minutes, AI re-evaluates each open position. Deteriorating theses are tightened or closed.
The Full Picture. Before Every Trade.
A 7-stage intelligence pipeline runs every 2 hours. Every stage must pass. A single veto stops the trade.
AI harvests news, macro signals, and sentiment across all tracked pairs to build a situational awareness snapshot.
Multi-factor screening filters the full universe down to high-conviction candidates with favorable conditions.
Confirms execution quality, spread, and liquidity. Rejects setups that look good on paper but can’t be entered cleanly.
A dedicated structural health check on Bitcoin. Hostile BTC conditions trigger a hard veto on new entries across all pairs.
AI reads the chart directly, identifying pattern quality, momentum, support/resistance, and setup clarity before committing.
A written thesis is generated: edge, direction, entry, target, stop, and invalidation conditions. The thesis must meet minimum R:R before entry opens.
Risk caps, portfolio limits, directional constraints, and fee-adjusted EV checks all run before the order is placed.
Every 15 minutes, AI re-reads each open position against current conditions. HOLDING, WEAKENED, or INVALIDATED, and acts accordingly.
Planned Access Tiers
Mentor Sentinel is not yet available for public access. These tiers represent the planned deployment structure for the Q3 2026 public launch.
For individual traders who want AI-assisted market oversight with mechanical risk controls.
- Full 7-stage research pipeline
- Real-time position monitoring
- Written thesis for every trade
- Mechanical exit system
- Dashboard & performance reporting
For professional traders and small funds requiring higher-frequency analysis, broader pair coverage, and deeper risk configuration.
- Everything in Starter
- Expanded trading universe
- Custom risk parameter configuration
- Priority support
- Performance analytics & reporting
- API access (read-only)
For trading desks, proprietary firms, and fund managers who need multi-account management and custom risk frameworks.
- Everything in Pro
- Multi-account management
- Custom risk frameworks
- Dedicated onboarding
- SLA & uptime guarantees
For brokerages, exchanges, and operators who want to deploy Mentor Sentinel as a white-label service or integrate it into their platform.
- White-label deployment
- Full API integration
- Custom risk frameworks
- Dedicated onboarding
- SLA & uptime guarantees
- IP licensing available
Early Conversations Open
Built for operators who manage capital at scale. Mentor Sentinel’s architecture supports white-label deployment, multi-account management, and full API integration into existing trading infrastructure. Early conversations are open with qualified operators ahead of the Q3 2026 public launch.
- Trading desks & proprietary firms
- Retail brokerages & exchanges
- Family offices & fund managers
- Platform & technology integrators
Licensing and early conversations are handled directly. Reach out to discuss scope, integration requirements, and timeline.
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