Author: Changan I Biteye Content Team
Original Title: Deconstructing Polymarket's Five Major Arbitrage Schools: How Can Ordinary Players Seize Million-Dollar Opportunities?
In prediction markets, the essence of the game is not truth, but pricing deviations.
For professional traders, Polymarket is more like an alternative financial hunting ground composed of probability, odds, liquidity, and information asymmetry.
Some bet based on intuition, others follow trends based on emotion; but the players who make money consistently over the long term use systematic strategies to extract risk-free or high-probability profits from these pricing imbalances.
This article by Biteye systematically breaks down for you:
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The most mainstream and genuinely existing arbitrage logic in prediction markets
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Multiple real arbitrage cases to see how the experts actually make money
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Whether ordinary players still have opportunities in a highly competitive environment
I. The Five Major Arbitrage Schools: From Math to Manipulation, Which One Are You?
1️⃣ On-platform "Money-Picking" Arbitrage: When YES + NO < 1
Principle: Utilize the mathematical property that binary options must settle at 1. Monitor for moments when the sum of YES and NO prices is less than 1, and simultaneously buy both positions. The price difference is profit upon settlement.
Example: At the moment the total is 0.97, buy both sides simultaneously. Regardless of the outcome, holding until settlement will definitely yield $1, with the 0.03 difference as profit.
⚠️ Small tip: Currently extremely competitive, monopolized by high-frequency bots, difficult for retail to find opportunities.
2️⃣ Cross-Platform Arbitrage: Rule Differences Are Opportunities
Principle: Capture price differences for the same event across different prediction platforms (e.g., Polymarket, Kalshi, Opinion Labs, Limitless, etc.), buy low and sell high to lock in profits.
Example: Yes quote for an event is 45¢ on Polymarket, equivalent No quote is 52¢ on Kalshi → Lock in the spread.
⚠️ Small tip: The rules/oracles of the two platforms may differ, potentially leading to different settlement outcomes.
3️⃣ Information "Front-Running" Arbitrage: Being a Few Seconds Faster Than the Market is Enough
Principle: Use the time gap between off-chain data (e.g., live sports broadcasts, real-time vote counts) updating faster than the on-chain order book to place lightning-fast orders.
This likely originated from hedge funds in traditional finance. During Fed meetings, algorithms would scrape the live stream of the Fed's speech in real-time. If Dovish keywords (like neutral, easing, moderation) appeared more frequently than expected, the algorithm would buy up all sell orders for Treasury futures or the S&P 500 index within 10 milliseconds.
⚠️ Small tip: Also common in sports event prediction markets. Spectators at the venue or dedicated high-speed live streams are often 5-10 seconds faster than TV broadcasts.
4️⃣ Negative Risk Arbitrage: Hedging Principal with Probability Distribution
Principle: In markets involving multiple mutually exclusive options (e.g., elections or multi-party events), simultaneously position multiple NO positions, using the sum deviation of the market's probability pricing for each option to hedge away principal risk.
⚠️ Small tip: The essence is to use mathematical probability distribution to ensure deterministic profits in most outcomes, while even in the worst-case scenario, remain break-even or only suffer minimal losses.
5️⃣ Order Book Spread Market Making Arbitrage: Low Liquidity = More Opportunities
Principle: In newly launched or low-liquidity markets on Polymarket, place orders to profit from the bid-ask spread.
Example: In a market, best bid: 0.3, best ask: 0.7, spread is 0.4. Can buy at a low price like 0.31 and place a sell order at 0.69, capturing the spread profit.
⚠️ Small tip: Pay attention to order book data, but be wary of orders being swept by one-sided trends due to market sentiment/news. Choose familiar sectors to operate in.
II. Real Case Studies: How Did Top Traders Make Millions on Polymarket?
1️⃣ "Statistical" Arbitrage on Musk's Tweet Count
There are many continuous prediction markets with ample historical data for backtesting.
For example, the prediction market on Musk's tweet count: Traders conducted quantitative analysis on Musk's historical tweet data to find deterministic patterns:
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20 more tweets on weekdays than weekends
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Winter activity is 3.1 times that of summer
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February is the most active period of the year.
After analyzing possible variable factors, one can buy when the probability significantly exceeds the range. Besides this, there are many similar markets in prediction markets. Studying NBA team home/away performance, average scores, losses, calculating such data with mathematical models, and then placing bets.
2️⃣ Violent Manipulation Arbitrage in 15-Minute Markets (Total Profit: 280K)
PM trader a4385 exploited the vulnerability of Polymarket's short-term prediction markets during low-liquidity periods, using small capital to manipulate spot prices and inversely harvest counterparties in the prediction market.
Market depth for tokens is shallower on weekends, where a smaller amount of capital can cause price fluctuations.
He bought "Up" on PM's XRP 15Min price prediction, even forcefully buying up orders regardless of odds. Moments before the 15 Min prediction window settled, he used $1 million on Binance to instantly pump the XRP spot price, causing the XRP 15 Min candle to close up.
Currently, a4385's total profit on Polymarket is 280K, with an average pump cost (slippage) of around $6000.
If you pay close attention, you might occasionally find the correlation between XRP's price and probability becomes lower on weekends. The 15 Min candle closes down, but the probability remains at 0.5. This situation indicates funds are attempting manipulation again.
This is an extreme case of structural vulnerabilities in prediction markets.
3️⃣ Volatility + Probability Automated Arbitrage (Total Profit: 448K)
PM trader distinct-baguette focuses on binary markets for cryptocurrency prices (settling at $1 for Yes/No), achieving a profit of 448K through 26,756 transactions.
The core of their strategy lies in building an automated model using volatility + probability arbitrage.
Wait for moments of repricing during volatility or panic, when the sum of "Yes" and "No" probabilities is less than 1, and buy both.
Employ stable position management, transforming tiny pricing deviations into scaled profits through extremely high-frequency repetition. Average profit per trade is $17.
4️⃣ News-Driven Discretionary Trading (Total Profit: 850K)
Car
@CarOnPolymarket
is a top 0.01% trader on Polymarket, with a historical profit of 850K.
His operations differ from the arbitrage mentioned before; he trades news across different hot sectors like politics and macro.
When major news breaks, quickly analyze the event's impact on related markets and decisively build positions following the trend.
When market sentiment cools and the market consolidates, he immediately takes profits and exits, never waiting until settlement.
Example: GTA 6 (Grand Theft Auto VI) is a game developed by US game company Rockstar Games. It is hailed as one of the most anticipated games globally. Any news about its development progress or release date triggers huge attention from players and the market. When news of a fire at their office just broke, the Yes price for "Will GTA 6 be released before 2025" on Polymarket was still low. The market had not fully priced in the impact on GTA 6's development progress. Car seized this information window, buying "No" or selling "Yes". As the fire news spread virally on social media, everyone followed suit buying "No". When the news heat peaked and the price had reflected the fire expectation, Car would immediately close the position for profit.
This method, based on breaking news, betting only on probability correction, and not waiting for settlement, is the玩法 closest to professional trader thinking in prediction markets.
5️⃣ Reversal Trading: Betting the Market is "Too Confident" (Total Profit: 6K)
Prediction markets always have the possibility of reversals. A group of traders specializes in betting on this possibility. According to Dune data: The accuracy rate on Polymarket 4h before settlement is 95.4%, 12h before is 89.4%, and 1 day before is 88.2%. So these traders specifically pick such markets to buy the possibility of a reversal. The price they buy is usually no more than 10¢, a typical low-probability, high-odds strategy.
III. Three Suggestions from Biteye for Ordinary Players
Polymarket's monthly trading volume repeatedly hits new highs, and profit cases continue to emerge, marking the gradual maturation of this market. Although arbitrage space is constantly being compressed, the improvement in market depth and breadth also催生出 more new opportunities relying on cognition and strategy.
Here are three suggestions from Biteye for everyone:
1️⃣ Stay Away from Bot Battlefields
Due to Polymarket's mainstream adoption, simple Yes+No <1 arbitrage is already a game between bots.
2️⃣ Learn to Copy Trades
Use on-chain analysis tools to monitor the movements of top wallets and new wallets (which might be insider trading), combined with news/event research to place bets, engaging in discretionary trading based on pricing deviations.
3️⃣ Dynamic Profit-Taking, Never Greedy
The odds in prediction markets are dynamic. Once your judgment is reflected by the market, the edge is already realized. Taking profits early and leaving them for later retail players can greatly improve capital turnover and avoid dispute risks at final settlement.
Final Words: Cognitive Bias is Your Arbitrage Space
Prediction markets are moving from niche to mainstream, and profit models are advancing from simple arbitrage to cognition-driven strategies. Understanding the rules, mastering information, and maintaining discipline are how you have a chance to become a long-term winner in the game of probability.
Prediction markets don't bet on truth, they bet on cognitive偏差. Are you ready?
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