7 Polymarket Arbitrage Strategies Every Trader Should Know

By Dexoryn — Trading Bot & Casino Game Developer GitHub: https://github.com/dexorynlabs/polymarket-trading-bot-python

Prediction markets like Polymarket aren’t just about betting on outcomes — they’re about exploiting market mechanics. Over the years, I’ve developed bots for crypto trading and casino games, and I’ve distilled 7 arbitrage strategies that consistently outperform casual traders.

1. Liquidity Absorption Flip

This strategy targets markets dominated by bots and high-frequency traders. You accumulate positions at low prices, allowing bots to lift your average entry. Seconds before resolution, a targeted price push flips the outcome, capturing the payout spread. It’s not about speed — it’s about structure and capital.

2. Spread Farming

Spread farming relies on high-frequency trading. A bot buys at the bid and immediately sells at the ask, capturing tiny spreads thousands of times per day. Sometimes these trades are hedged across platforms, meaning you don’t care about market direction — you just compound micro profits.

3. Structural Spread Lock

Here, the bot ignores direction completely. It monitors the orderbook for panic mispricing and buys both sides when pricing breaks. At settlement, one side pays $1 and the other goes to $0, locking in a profit. Discipline and timing beat predictions.

4. Systematic NO Farming

Most traders chase “moonshots” and overhyped outcomes. Statistically, ~70% of prediction markets resolve NO. By consistently betting NO, you exploit crowd overreaction while maintaining a high win rate. Reality pays more than narratives.

5. Long-Shot Floor Buying

This counterintuitive approach places tiny bets (e.g., $0.01) on extremely low probability outcomes. The downside is minimal, but rare wins produce asymmetric upside. Across thousands of markets, even a handful of YES resolutions can yield profit.

6. High-Probability Auto-Compounding

Automated bots can focus on high-probability contracts priced $0.90–$0.99. Thousands of micro-trades accumulate over time, compounding small wins into significant returns. This strategy works best in short-duration crypto markets like BTC or ETH.

7. Orderbook Parity Arbitrage

Sometimes YES + NO prices briefly sum to less than $1. Bots exploit this by simultaneously buying both sides, guaranteeing profit at settlement. After fees like 3.15% were introduced, this strategy adapted by filtering for explosive price movements or liquidation events.

The Common Thread

Across all these strategies, the edge isn’t prediction — it’s market structure, orderbook dynamics, and execution efficiency. Bots that survive and scale don’t chase narratives; they exploit systematic inefficiencies.

Try It Yourself

I’ve built a TypeScript Polymarket trading bot implementing these strategies: https://github.com/dexorynlabs/polymarket-trading-bot-python

It’s designed for speed, modular strategy execution, and ease of use — even if you’re new to Polymarket or trading bots.

Disclaimer: These strategies are shared for educational purposes. Trading involves risk, and past performance doesn’t guarantee future results. Use testnets or small capital before scaling.

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