Introduction
Prediction markets like Polymarket have rapidly evolved into highly dynamic trading environments, especially within short-duration contracts. Among these, 5-minute markets present a unique combination of liquidity bursts, sharp price movements, and time-constrained decision-making.
To navigate this landscape, we developed the Stair Arbitrage Bot — a system specifically engineered to optimize how positions are unwound as markets approach resolution. Rather than focusing solely on entry strategies, this bot prioritizes precision exits, where profitability is often determined.
The Problem: Inefficient Exits in Short-Duration Markets
In ultra-short markets, traders commonly face three structural challenges:
- Liquidity fragmentation near resolution
- Slippage risk from aggressive market orders
- Emotional or reactive exits under time pressure
Most strategies focus on identifying mispricing but fail to address how to efficiently close positions when it matters most.
The result? Even correct predictions can yield suboptimal returns due to poor execution.
The Core Idea: Stair-Based Arbitrage Execution
The Stair Arbitrage Bot introduces a structured unwinding methodology designed to:
- Minimize market impact
- Capture optimal pricing across both sides of the book
- Maintain controlled exposure throughout the exit process
Instead of exiting positions in a single action, the bot uses a stepwise (“stair”) execution model, dynamically adapting to market conditions in real time.
How It Works
1. Market Monitoring in the Final Phase
As a 5-minute market approaches resolution, the bot intensifies monitoring of:
- Order book depth
- Bid-ask spreads
- Trade velocity
- Price convergence patterns
This phase is critical — liquidity conditions often shift rapidly in the final seconds.
2. Selective First Exit (Liquidity Advantage)
The bot begins by identifying which side — YES or NO — offers:
- Better liquidity
- Tighter spreads
- Lower execution cost
It then partially or fully exits that side first, reducing exposure while taking advantage of favorable conditions.
3. Stair-Based Unwinding of the Opposite Side
After the initial reduction, the bot turns to the remaining position.
Here’s where the “stair” logic comes in:
- Orders are placed in incremental steps at strategic price levels
- Execution adapts based on real-time fills and order book changes
- In some cases, a single coordinated execution is used when liquidity is sufficient
This creates a layered exit structure, avoiding unnecessary slippage while maximizing price efficiency.
4. Dynamic Hedging and Risk Control
Throughout the process, the system maintains:
- Balanced exposure between YES and NO positions
- Real-time hedging adjustments
- Strict risk thresholds to prevent overexposure
This ensures that even under volatile conditions, the bot prioritizes capital preservation over aggressive execution.
Why the Stair Approach Works
The effectiveness of the Stair Arbitrage Bot comes from aligning execution with how markets actually behave near resolution:
- Liquidity is uneven and time-sensitive
- Large orders can distort prices
- Opportunities often exist in microstructure inefficiencies, not just directional bets
By breaking execution into controlled steps, the bot:
- Reduces signaling risk
- Adapts to shifting liquidity
- Extracts incremental value from each trade
Key Advantages
✔ Reduced Slippage
Orders are distributed intelligently rather than dumped into the market.
✔ Liquidity-Aware Execution
The bot reacts to real-time depth instead of relying on static assumptions.
✔ Consistent Performance
Structured exits lead to more repeatable outcomes across different conditions.
✔ Risk-First Design
Exposure is continuously managed, not just at entry or exit points.
Practical Implications
For traders operating in short-duration prediction markets, this approach highlights a critical insight:
Execution strategy can be just as important as prediction accuracy.
The Stair Arbitrage Bot shifts the focus from “What will happen?” to “How do we exit optimally when it does?”
Conclusion
The Stair Arbitrage Bot represents a refined approach to trading in fast-paced environments like Polymarket. By combining liquidity-aware execution, staged unwinding, and dynamic risk control, it transforms exits from a reactive process into a systematic edge.
As prediction markets continue to mature, strategies that emphasize execution quality and capital efficiency will likely define long-term success.
Final Thoughts
While arbitrage opportunities may be fleeting, disciplined execution is scalable.
The Stair Arbitrage Bot is not just about capturing inefficiencies — it’s about doing so consistently, intelligently, and with controlled risk.
🤝 Collaboration & Contact
If you’re interested in collaborating, exploring strategy improvements, or discussing about this system, feel free to reach out.
I’m especially open to connecting with:
Quant traders
Engineers building trading infrastructure
Researchers in prediction markets
Investors interested in market inefficiencies
📌 GitHub Repository
This repo has some Polymarket several bots in this system.
You can explore the full implementation, strategy logic, and ongoing updates about 5 min crypto market here:
https://github.com/Bolymarket/Polymarket-arbitrage-trading-bot-python
💬 Get in Touch
If you have ideas, questions, or would like to collaborate, don’t hesitate to open an issue on GitHub or reach out directly.
Feedback on your repo (based on your description & strategy)
Contact Info
Email
benjamin.bigdev@gmail.com
Telegram
https://t.me/BenjaminCup
