Smart Money scoring methodology
How we compute the composite score that powers the leaderboard.
A wallet's leaderboard rank isn't raw P&L — it's a composite that rewards both *performance* and *consistency*. We publish this explicitly so you can judge whether the ranking matches your definition of "smart."
Inputs
- Trade history — every OrderFilled event from the Polymarket CTF Exchange contract, indexed per wallet.
- Market outcomes — resolved markets provide the ground truth for realized P&L.
- Liquidity snapshots — used to simulate realistic slippage for a copy-trader entering the same positions.
Metrics computed
- P&L — realized USDC profit/loss at market resolution.
- Copy P&L — P&L simulated for a copy-trader entering at liquidity-adjusted prices (not the wallet's own fills).
- ROI — total return divided by capital deployed.
- Win rate — percentage of resolved markets where the wallet finished in profit.
- Trade count — how active the wallet is (sample size matters).
Windows
We compute all metrics across three windows: 30d, 90d, and all. Wallets score independently in each, so a wallet strong over 90 days but quiet recently won't dominate the 30-day board.
Composite score
The composite is a weighted combination of copy-P&L, ROI, and win rate, with a sample-size floor (wallets under 10 resolved trades in a window are excluded). We publish the raw component numbers alongside the composite so you can form your own view.
Known limitations
- Unrealized P&L from open positions isn't counted — the score is deliberately conservative.
- Slippage simulation uses snapshot liquidity, not order-book replay. It's an approximation, not a backtest.
- Wallets that split activity across many addresses look less active than they are. We don't cluster addresses automatically.