Polymarket Arbitrage Systems: What Real Trading Infrastructure Actually Looks Like

SYSTEM OVERVIEW

Polymarket arbitrage is not a strategy.

It is a stacked execution system operating across:

• Data ingestion
• Signal normalization
• Probability modeling
• Execution routing
• Post-trade reconciliation

If any layer is missing, the “edge” collapses into noise.

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1. DATA LAYER — REAL-TIME EVENT INGESTION

Core requirement:

You do not query markets.
You stream state changes.

Typical inputs:

• Market price updates
• Order book deltas
• Event outcome probabilities
• External catalysts (news / social spikes)

Architecture pattern:

• WebSocket feeds > polling APIs
• Event bus ingestion (Kafka-style or equivalent)
• Deduplication + ordering correction

Failure mode:

→ stale data = phantom arbitrage signals

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2. SIGNAL LAYER — NORMALIZATION ENGINE

Raw price differences are not signals.

They must be normalized into:

• Probability-adjusted spreads
• Liquidity-weighted opportunity scores
• Execution feasibility score (EFS)

Core transformation:

• Raw spread
  → adjusted expected value after slippage + fill probability

Without this:

You are trading illusions of profit.

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3. MODEL LAYER — PROBABILISTIC EDGE ENGINE

This is where most systems fail.

Instead of:

• deterministic thresholds

You need:

• probabilistic distributions of outcome shifts

Key components:

• Bayesian updates on event likelihood
• Volatility clustering detection
• Cross-market correlation mapping

Output:

→ confidence-weighted arbitrage score, not raw spread

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4. EXECUTION LAYER — THE REAL COMPETITIVE EDGE

This is the decisive layer.

Core constraints:

• latency (sub-second advantage matters)
• gas timing / sequencing
• order routing logic
• partial fill handling

Typical architecture:

• Pre-signed transactions
• Parallel execution threads
• Failover RPC routing
• Conditional execution triggers

Reality:

Most “alpha” dies here, not in modeling.

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5. RISK ENGINE — SURVIVAL MECHANISM

Arbitrage systems fail silently without risk controls.

Required constraints:

• max exposure per market
• liquidity threshold filters
• dynamic spread floor (not static)
• circuit breakers for volatility spikes

Without this layer:

→ one failed event wipes multiple gains

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6. FEEDBACK LOOP — ADAPTIVE EDGE MAINTENANCE

Markets adapt.

Your system must adapt faster.

Feedback inputs:

• fill rates
• slippage vs prediction error
• execution delay variance
• opportunity decay curves

This feeds back into:

• threshold recalibration
• model weighting adjustments
• routing priority changes

No feedback loop = degraded system over time

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ARCHITECTURE SUMMARY

Real system flow:

Market Stream
↓
Event Ingestion Layer
↓
Normalization Engine
↓
Probabilistic Model Layer
↓
Execution Router
↓
Trade Settlement
↓
Feedback Loop → Model Update

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CONCLUSION

Polymarket arbitrage is not about identifying inefficiencies.

It is about:

building a system that detects, evaluates, and executes faster than competing systems can invalidate the opportunity.

If execution is weak:

→ even perfect models fail

If models are weak:

→ execution accelerates losses

Only the full stack produces durable edge.