Core Risk Engine Signal

(01)

Overview

10,000 Causal Futures per signal with adaptive conservatism multipliers. No hardcoded values, no overfitting. Regime-aware risk management that adapts to market conditions in real-time

Status

Available

Availability

All Tiers

Challenge

Traditional risk systems fail when markets shift. They rely on fixed thresholds calibrated to historical data, leaving funds exposed when volatility spikes or regimes change. Most systems use simple VaR models with hardcoded stop-loss percentages that do not adapt to real-time conditions. The result is capital destruction during bear markets, missed opportunities during favorable conditions, and overfitting that breaks when market structure changes. Funds need risk management that thinks ahead, adapts continuously, and preserves capital when it matters most, without relying on machine learning models that overfit to past data.

Impact

The Core Risk Engine Signal delivers institutional-grade risk intelligence. By generating 10,000 Causal Futures per signal, it provides probabilistic risk assessment far beyond static VaR models. Adaptive conservatism multipliers dynamically adjust position sizing, confidence thresholds, and risk parameters based on real-time volatility, structural coherence, and drawdown. No hardcoded values. No overfitting. Regime-aware clustering can detect market shifts earlier than traditional indicators, enabling preemptive position adjustments. Historically validated across three major bear markets, the engine achieves an average 86% loss reduction versus Buy & Hold. In 2022, during the FTX collapse, it preserved 98% of losses compared to the market (–0.92% vs –49%). This is risk management that adapts, not just reacts.

The Core Risk Engine Signal delivers institutional-grade risk intelligence. By generating 10,000 Causal Futures per signal, it provides probabilistic risk assessment far beyond static VaR models. Adaptive conservatism multipliers dynamically adjust position sizing, confidence thresholds, and risk parameters based on real-time volatility, structural coherence, and drawdown. No hardcoded values. No overfitting. Regime-aware clustering can detect market shifts earlier than traditional indicators, enabling preemptive position adjustments. Historically validated across three major bear markets, the engine achieves an average 86% loss reduction versus Buy & Hold. In 2022, during the FTX collapse, it preserved 98% of losses compared to the market (–0.92% vs –49%). This is risk management that adapts, not just reacts.

Pricing Plans

Starter – $8,000/month ($86,400/year)

For small funds testing before scaling (<$5M AUM) Includes: • Up to 3 symbols (BTC, ETH, + 1 custom) • Timeframe: 4h only • Full OCO levels • Risk metrics (VaR, CVaR, Meta-Risk Index) • All institutional scores • Cross-Asset Causal Graph • REST API + Webhooks • 90-day signal history • Email support (72h) Limits: • 1 organization • 2 API keys • Standard rate limits

Pilot – $12,000/month ($129,600/year)

For funds testing before full commitment ($5M–$10M AUM) Includes: • Up to 5 symbols • Timeframes: 4h + 1h • Full OCO levels • All institutional scores • Cross-Asset Causal Graph • WebSocket + REST + Webhooks • 90-day signal history • Email support (48h) Limits: • 1 organization • 3 API keys • Standard rate limits

Core – $35,000/month ($378,000/year)

For production funds ($10M–$100M AUM) Includes: • Up to 15 symbols (majors + top alts) • Timeframes: 4h, 1h, 15m • Full signal payload • 2 Institutional Add-Ons of choice • 1-year signal history • Shadow book track record per symbol • Drawdown control metrics • Priority API access • Slack/Discord support (24h) Limits: • 1 organization • Unlimited API keys • Prod + Staging environments

Enterprise – $100,000+/month ($1,080,000+/year)

For large institutions ($100M+ AUM) Includes: • 30+ symbols (custom universe) • All timeframes (4h → 15m + custom) • All 6 Institutional Add-Ons • Dedicated API capacity (no rate limits) • Custom risk profiles • Model version pinning • SLA 99.9% • <100ms latency guarantee • Direct access to quant team • Quarterly risk reviews • Custom dashboards Alternative: • Pay-per-AUM at 0.15% annually (minimum $50k/year)