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WhaleForensics

Forensic intelligence for prediction markets. Adjusted win rates, strategy classification, and signal scores that cut through the noise.

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How It Works

Why every whale tracker you've used is lying to you — and what we do differently.

The Problem

Naive trackers only count closed trades where a wallet actively sold. They completely ignore positions that expired worthless — giving the illusion of genius-level performance.

WalletNaive Win RateAdjusted Win RateZombies FoundInflation
0x7a3f...e9b298%51%47-47pp
0x1c8d...4f2189%58%31-31pp
0x9e2a...b7c482%44%38-38pp

A “98% win rate” means nothing when 47 zombie positions are hidden from the count.

How We Fix It

Zombie Detection

We scan every resolved market for positions a wallet held through resolution without closing — these are real losses that naive trackers miss.

Read more →

Adjusted Win Rate

We recalculate win rates by including zombie losses and marking open positions to current market price, not just counting closed winners.

Strategy Classification

Feature-engineered classification into 5 archetypes (INFO_TRADER, QUANT_HEDGE, MOMENTUM, MARKET_MAKER, NOISE_WHALE) so you know who you're following.

Read more →

Proven Edge

Our adjusted metrics and signal scoring system have been backtested against 90 days of historical Polymarket data. The results speak for themselves:

+5.0pp

Alpha gain vs. naive whale tracking

0.59

Sharpe ratio

Signal Score-filtered trades (score ≥ 70) consistently outperformed both naive “copy the whale” strategies and unadjusted top-10 leaderboard picks. Traditional whale trackers overstate win rates by 10–20 percentage points — our adjusted metrics correct for this, delivering a genuine informational edge.

Signal Score

Every trade gets a Signal Score from 0–100 that measures how likely it is to be an informed, high-quality trade. The score is a weighted composite of five wallet-level factors:

Category Win Rate30%

Historical win rate in the specific market category (politics, crypto, etc.)

Strategy Type25%

How well the wallet's classified archetype correlates with profitable trading

Conviction20%

Position sizing relative to the wallet's typical volume — larger = more conviction

Cluster Activity15%

Whether the wallet belongs to a coordinated group of wallets acting together

Timing10%

When the trade was placed relative to market resolution — earlier is better

Grade Scale

A80–100
B60–79
C40–59
D20–39
F0–19

Trades with entry prices above 0.55 receive an additional penalty — buying at high prices reduces the risk/reward ratio and is penalized accordingly.

Full Signal Score breakdown →

Strategy Classification

Every tracked wallet is classified into one of five trading archetypes using feature-engineered ML classification. This tells you who you're following, not just what they're doing.

INFO_TRADER

Event-driven traders who act on material information before the market fully prices it in. They tend to have high win rates in specific categories and trade around news catalysts.

QUANT_HEDGE

Systematic hedgers who use prediction markets to offset risk in other positions. They trade methodically across multiple correlated markets with consistent sizing.

MOMENTUM

Trend followers who pile into markets that are already moving. They buy when prices are rising and sell when falling — profitable in strong trends, vulnerable to reversals.

MARKET_MAKER

Liquidity providers who buy and sell on both sides of a market to capture the spread. High volume, many markets, moderate win rates — they profit from flow, not direction.

NOISE_WHALE

Low-conviction traders with no discernible edge. Large position sizes but poor win rates, inconsistent timing, and no clear strategy pattern. Following these wallets is risky.

Read more on our blog →
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