Module 02

Reverse Engineering Methodology

A three-phase approach to deconstructing trading strategies from observable on-chain and off-chain data patterns.

Step 01
Step 02
Step 03
  • 01Access Polymarket's Leaderboard to find top-performing accounts ranked by profit, volume, and win rate.
  • 02Once a wallet address (0x...) is identified, its entire transaction history becomes accessible via Polygonscan.
  • 03Cross-reference wallet addresses with known entities using Dune Analytics dashboards and community-maintained databases.
  • 04Monitor wallet creation dates and funding patterns to distinguish institutional from retail traders.
  • 05Track wallet clusters that may belong to the same entity by analyzing common funding sources.
// Implementation Reference
// Example: Fetch top traders from Polymarket API
const response = await fetch(
  'https://clob.polymarket.com/leaderboard?period=monthly'
);
const { traders } = await response.json();
// Each trader object contains:
// { address, profit, volume, winRate, tradeCount }
// Analysis Verdict

Can you obtain the exact source code?

No

The blockchain records trade outcomes, not the code that generated them. Smart contract interactions are visible, but the off-chain bot logic is never published.

Can you obtain the functional equivalent?

Yes

For most automated strategies (arbitrage, market making), the logic is dictated by public market math. Observing a bot's trades for a few days allows a competent developer to recreate the code that produces those results.

Can you replicate speed-based strategies?

Unlikely

Knowing the logic is useless if you cannot access the same high-speed execution infrastructure. Latency-sensitive strategies require co-located servers and optimized network paths.