Polymarket Whale Contrarian Trader

Detects smart money divergence where top-performing whale wallets take positions opposite to retail consensus. When markets are at probability extremes but whales bet against the crowd, trades with the whales using conviction-boosted sizing.

Whale Contrarian Trader

Strategy Overview

This skill exploits information asymmetry between retail traders and top-performing whales on Polymarket. When a market's probability sits at an extreme (above 70% or below 30%), it reflects strong retail consensus. If multiple top leaderboard wallets are simultaneously taking the opposite side, it signals that smart money disagrees with the crowd.

The skill fetches the public Polymarket leaderboard, tracks recent whale activity, cross-references it against markets at probability extremes, and trades in the whale's direction when enough whales independently oppose retail consensus.

Signal Logic

1. Fetch leaderboard -- Pull top 50 wallet addresses from the public leaderboard API.
2. Fetch wallet activity -- For each whale, retrieve recent trades from the Polymarket data API.
3. Identify extreme markets -- Markets where probability > CONTRARIAN_THRESHOLD (70%) or < 1 - CONTRARIAN_THRESHOLD (30%).
4. Detect opposition -- For each extreme market, count whales trading the opposite direction from retail consensus.
5. Generate signal -- If at least MIN_WHALE_OPPOSITION whales (default: 2) are on the contrarian side, generate a trade signal in the whale's direction.
6. Conviction sizing -- Base conviction from threshold bands, boosted by a whale multiplier: 1.0 + min(0.4, (whale_count - 1) * 0.1).

Edge Thesis

Whale wallets that appear on the Polymarket leaderboard have demonstrated sustained profitability. Their edge typically comes from:

• Superior information: Access to domain experts, proprietary data, or faster news processing.
• Better models: Quantitative models that more accurately estimate true probabilities.
• Behavioral discipline: Less susceptible to the narrative biases that push retail to extremes.

When retail has pushed a market to a probability extreme (the crowd is very confident), and multiple whales independently disagree, the expected value of following smart money is positive. The more whales that converge on the contrarian side, the stronger the signal.

This is not a guarantee -- whales can be wrong. But systematic tracking of whale-vs-retail divergence at extremes has a positive expected edge over time.

Remix Ideas

• Sector-specific whale tracking: Filter whale activity to specific market categories (politics, crypto, sports) where certain whales have demonstrated domain expertise.
• Whale quality weighting: Weight signals by whale PnL rank -- a top-5 whale opposing retail is stronger than a top-50 whale.
• Time decay: Weight recent whale trades more heavily than older ones (e.g., last 24h vs last 7 days).
• Volume-weighted opposition: Instead of counting whale wallets, sum the dollar volume of contrarian whale trades.
• Momentum confirmation: Only trade if the whale contrarian activity is increasing over time (more whales joining the opposite side).

Safety

Guard	Default	Purpose
Paper mode	ON	--live flag required for real trades
MAX_SPREAD	8%	Skip illiquid markets
MIN_DAYS	7	Avoid near-resolution noise
MAX_POSITIONS	6	Cap portfolio exposure
MIN_VOLUME	$5,000	Skip thin markets
MIN_WHALE_OPPOSITION	2	Require multiple independent whale signals
Flip-flop guard	ON	SDK discipline check
Slippage guard	15%	SDK slippage check

Tunables

Env Var	Default	Description
SIMMER_MAX_POSITION	40	Max position size in USD
SIMMER_MIN_TRADE	5	Min trade size in USD
SIMMER_MIN_VOLUME	5000	Min market volume in USD
SIMMER_MAX_SPREAD	0.08	Max bid-ask spread
SIMMER_MIN_DAYS	7	Min days until resolution
SIMMER_MAX_POSITIONS	6	Max simultaneous positions
SIMMER_YES_THRESHOLD	0.38	YES threshold for conviction sizing
SIMMER_NO_THRESHOLD	0.62	NO threshold for conviction sizing
SIMMER_CONTRARIAN_THRESHOLD	0.70	Probability extreme threshold (retail consensus)
SIMMER_MIN_WHALE_OPPOSITION	2	Min whales required on contrarian side

Dependency

• simmer-sdk (pip)
• SIMMER_API_KEY environment variable