Problem
Manual arbitrage decisions were inconsistent and too slow to capture narrow windows reliably.
Case Study
PolyScan
A Polymarket arbitrage system that scans dislocations and executes within strict risk limits.
Approach
We built a scanner-to-execution pipeline that prioritizes deterministic risk controls, exposure visibility, and fail-safe mechanisms.
What we built
- Price-dislocation scanner with configurable opportunity scoring.
- Execution workflow with predefined position and risk constraints.
- Real-time exposure tracking and kill-switch controls.
- Monitoring surface for logs, alerts, and execution audits.
Screenshots
Stack
TypeScriptPythonPolymarket APIsSchedulersDatabaseLog Store
Outcome
Automation reduced manual overhead while keeping risk posture controlled and observable.
Build notes
- Implemented deterministic safeguards for max exposure and loss limits.
- Separated signal generation from execution to improve testability.
- Added event logs for post-trade diagnostics and strategy tuning.
Related services
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