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INTRODUCING BAYESHIELD

Know Before You Trade. Win Before You Lose.

BayesShield is trained with more than 11.7 billion of retail trades and uses advanced probabilistic AI to analyze every trade before execution, predicting win/loss outcomes in real-time based on market conditions, position sizing, historical patterns, and behavioral signals. By surfacing risk insights at the moment of decision, BayesShield helps retail traders avoid costly mistakes before they happen—turning gut instinct into informed conviction and protecting capital when it matters most.

(BayesShield is a pending trademark registration in the European Union and the United States)

BayesShield PREDICTIVE TRADE INTELLIGENCE TRAINED ON 11.7 BILLION TRADES TRADE INPUT FEATURE EXTRACTION ML ENGINE ANALYSIS PREDICTION BTC/USD LONG SHORT Size: 0.5 BTC Leverage: 10x TRADE ENTRY User Input 1 Position Metrics Market Conditions Volatility Index Entry Timing Behavioral Signals FEATURE EXTRACTION 200+ Variables 2 BAYESIAN INFERENCE ML ENGINE Proprietary Model 3 Pattern Recognition Historical Match Analysis Risk Scoring Position & Leverage Risk Market Context Trend & Sentiment Probability Calibration Confidence Weighting ANALYSIS Multi-Factor Scoring 4 73% WIN PROBABILITY 5 27% LOSS PROBABILITY CONFIDENCE HIGH (89%) TRAINING DATA FOUNDATION 11.7B Historical Trades 200+ Feature Variables 50+ Asset Pairs 6 Years Market Cycles Real-Time Model Updates 1 User enters trade 2 200+ features extracted 3 Bayesian ML inference 4 Multi-factor analysis 5 Win/Loss prediction with confidence score

Predictive intelligence. Trained on reality. Built from billions.

BayesShield delivers real-time win/loss predictions for every trade before execution, powered by machine learning trained on over 11.7 billion actual retail trades. Unlike competitors relying on simulated data or public market feeds, BayesShield learns from the real behavioral patterns, position sizing decisions, and outcome distributions of millions of retail traders on a live, regulated Multilateral Trading Facility. By analyzing 200+ features at the moment of entry—from leverage ratios and market volatility to timing patterns and historical analogs—BayesShield gives traders the foresight to protect capital before it's at risk.

"Access to proprietary trading data is the moat that separates real predictive intelligence from academic exercises. Because we operate a regulated MTF, we don't just observe markets, we see every retail order, every position, every outcome. 11.7 billion trades isn't a marketing number; it's the foundation of a system trained on how real people actually trade, lose, and win. That's data no API can buy and no competitor can replicate."

Patrick Gruhn, CEO and Founder

Built for protection

BayesShield was designed for retail traders who deserve a fair chance. Every feature, from real-time probability scoring to behavioral pattern detection, reflects our belief that predictive intelligence shouldn't be reserved for institutional desks with unlimited data budgets. Whether you're a first-time trader or a seasoned retail participant, you deserve to see your risk before you take it.

We've spent years operating an MTF and watching retail traders repeat the same costly mistakes—overleveraging, mistiming entries, ignoring volatility. That experience taught us what matters: insight before execution, protection before loss, and data that reflects how real people actually trade.

At Perpetuals.com, we don't believe predictive AI should be built on simulations and synthetic backtests. BayesShield is trained on 11.7 billion real trades from our regulated Multilateral Trading Facility—actual positions, actual outcomes, actual behavioral patterns from millions of retail participants. This proprietary dataset is something no competitor can license, scrape, or replicate.

This is intelligence built by operators who've seen what happens when retail traders fly blind. No black-box guesswork. No theoretical models divorced from reality. Just machine learning trained on the largest proprietary retail trading dataset in the industry, delivering predictions at the moment they matter most.

Patrick Gruhn, CEO and Founder