Polymarket Arbitrage Trading Bot Development: Complete Guide

Polymarket arbitrage trading bot development has become one of the most technically and commercially significant opportunities in the blockchain ecosystem. Between April 2024 and April 2025, arbitrage traders primarily bots, generated an estimated $40 million in cumulative profits on Polymarket. Yet only a small percentage of participants automated their execution during that window.

Here is the uncomfortable truth the rest of the market does not say: that window is narrowing. Average intra-market arbitrage opportunity duration has fallen from 12.3 seconds in 2024 to 2.7 seconds in 2026. Seventy-three percent of arbitrage profits are now captured by bots executing in under 100 milliseconds. The $40 million figure is real but it was earned predominantly by early movers with properly engineered infrastructure, not by participants chasing spreads manually or with poorly built automation.

This page is written for operators who want an accurate picture of what the opportunity actually looks like in 2026 and how to build systems that remain profitable as the market matures.

Before You Build: What the Polymarket Arbitrage Landscape Actually Looks Like in 2026

Pure intra-market arbitrage is increasingly saturated. Median spreads of 0.3% barely survive Polymarket's 2% fee on winning positions. The bots generating the best risk-adjusted returns in Q1 2026 are running multi-strategy portfolios: combining arbitrage with market-making, cross-platform execution, and probability-based directional strategies, with dynamic capital allocation between them. If you are planning to deploy a single-strategy intra-market bot and expect consistent 5%+ monthly returns, that is not the current market reality. This page will tell you what is.

What Is Polymarket Arbitrage?

Arbitrage on Polymarket means identifying and exploiting price inefficiencies in prediction market situations where the market's pricing is mathematically inconsistent or out of sync with related markets and executing trades that lock in a profit regardless of the actual event outcome.

Why do these mispricings exist?

They persist for structural reasons, not random noise. Retail traders using the Polymarket web UI see prices 200–800 milliseconds behind the Central Limit Order Book (CLOB). Thin markets with low open interest have fewer participants correcting prices. During breaking news events such as Fed announcements or election results, human reaction lag creates brief 3–15 second windows where the order book becomes inconsistent and automated bots are specifically designed to exploit and close these gaps faster than any human can.

The core intra-market arbitrage example: If the YES price plus the NO price for the same market totals less than $1.00, you can buy both sides simultaneously. When the event resolves, one side always pays out exactly $1.00. If you paid $0.97 total, you made $0.03 per share, a deterministic profit regardless of outcome, before fees.

Before fees is the critical phrase. Polymarket charges a 2% fee on the net profit of winning positions. That $0.03 gross spread on a $0.97 position represents approximately 3.1% gross return. After the 2% fee and Polygon gas costs (~$0.007 per transaction), your net is roughly 1.5% still positive, but only marginally. This is why the minimum edge threshold your bot enforces is not a preference, it is the gating condition between a profitable and a negative-EV trade.

Is Polymarket Arbitrage Trading Bot Allowed?

Yes. Polymarket explicitly supports API-based and automated trading. The platform provides official Python, TypeScript, and Rust SDKs, documented REST and WebSocket endpoints, and CLOB API credentials for programmatic order placement. Automated bots are a standard and accepted participant class on the platform.

Geo-restrictions apply. Polymarket is not available to users in the United States and certain other jurisdictions due to regulatory requirements. Any bot operating on your behalf is subject to the same geographic restrictions as manual trading. Our bots include configurable geo-restriction enforcement logic as a standard compliance feature.

Types of Arbitrage Opportunities on Polymarket

Not all arbitrage in Polymarket works the same way. Our bots are built to detect and execute four distinct arbitrage types, each requiring different detection logic, execution speed, and capital allocation.

1. Intra-Market Arbitrage (YES + NO Mispricing)

The most direct opportunity: when YES shares plus NO shares for the same market cost less than $1.00 combined. Since exactly one side always resolves at $1.00, buying both guarantees a profit equal to ($1.00 minus total cost paid) multiplied by shares purchased minus fees.

Example: YES priced at $0.51, NO priced at $0.46. Total cost = $0.97. Buy 1,000 shares of each for $970 total. One side resolves at $1,000. Guaranteed profit: $30 minus gas and fees.

Intra-market opportunities average 2.7 seconds in duration in 2026. Our bot monitors all active Polymarket markets via WebSocket and REST API simultaneously, with a configurable minimum spread threshold (default: 1.5% net of all fees) to filter out negative-EV edges.

2. Cross-Market Arbitrage (Logical Inconsistency)

Cross-market arbitrage exploits mathematically impossible pricing between logically related markets. This is more durable than intra-market arbitrage because it requires understanding the semantic relationship between markets, something simple price-monitoring bots miss.

Example: Consider the US election market. If "Democratic candidate wins State A" is priced at $0.41, and "Democratic Party wins State A Senate seat" (which resolves YES only if the Democratic candidate wins the state) is priced at $0.33, this pricing is inconsistent. The Senate seat market cannot resolve YES if the candidate loses. Buying the underpriced Senate market at $0.33 against the implied floor of $0.41 is a positive edge that persists until a bot or informed human closes it.

Our cross-market arbitrage module maintains a dependency graph of correlated markets, event sub-markets, group vs. individual outcomes, and sequential events. When pricing across logically related markets becomes inconsistent beyond the configurable minimum edge threshold, the bot executes the offsetting position automatically.

3. Polymarket–Kalshi Cross-Platform Arbitrage

The highest-complexity arbitrage opportunity in 2026: price discrepancies between the same or equivalent events on Polymarket and Kalshi. Because Polymarket is crypto-native (Polygon/USDC.e) and Kalshi is a US-regulated, CFTC-approved exchange with fiat settlement, the two platforms frequently misprice the same event, creating spreads of 2–5%.

Example: "Federal Reserve holds rates in June meeting" - YES on Kalshi at $0.62, NO on Polymarket at $0.36. Total cost = $0.98. Guaranteed gross profit: $0.02 per share regardless of outcome.

Settlement timing is the key design constraint. Kalshi settles in fiat through banking rails (typically 1–3 business days). Polymarket settles in USDC.e on Polygon (same day). During the settlement window, the position carries mark-to-market risk if prices move significantly. Our cross-platform bots manage this by sizing positions conservatively, prioritizing high-liquidity markets with short resolution timelines (under 14 days), and maintaining separate capital reserves for each platform's settlement cycle.

4. Combinatorial / Outcome-Sum Arbitrage

When a market has three or more mutually exclusive outcomes, the probabilities must sum to approximately 100% after the market maker's margin. When they do not, for example, three candidates in an election priced at $0.38 + $0.34 + $0.34 = $1.06, selling all three overpriced outcomes locks in a guaranteed profit when exactly one resolves.

Combinatorial arbitrage is the most complex to detect and execute. It requires monitoring multiple outcome tokens within a single market simultaneously and coordinating multi-leg order submission within a narrow execution window. Our bot handles multi-leg combinatorial execution natively, with per-leg fill validation before committing the full position.

How a Polymarket Arbitrage Bot Works (Step-by-Step)

This workflow provides a production-grade framework for polymarket arbitrage bot development, enabling fast signal detection, validation, and execution.

1. Wallet Integration

The bot connects to the trader's wallet (MetaMask, WalletConnect, or a programmatic wallet with API key authentication) using Polymarket's official CLOB client. Assets remain in the user's wallet at all times; the bot holds on-chain authorization to place and execute orders, but never takes custody of funds. This non-custodial architecture is a hard requirement in our standard build.

2. Strategy Configuration

Before scanning begins, the operator defines execution parameters:

• Minimum spread threshold - the minimum net profit after all fees before a trade executes (default: 1.5% net of Polymarket fees, gas, and platform fees)
• Maximum position size per market - expressed in USDC, prevents over-concentration in a single opportunity
• Total capital allocation limits - maximum capital deployed simultaneously across all open legs
• Risk controls - stop-loss triggers, daily loss caps, and kill-switch conditions

These parameters are enforced at the code level and cannot be overridden by market conditions.

3. Real-Time Market Surveillance

The bot subscribes to Polymarket's WebSocket streams and CLOB API to monitor all active markets simultaneously. On every price update, the detection engine calculates:

1. Combined YES + NO cost for the affected market
2. Applicable taker or maker fees
3. Estimated Polygon gas cost
4. Order book depth at the target price (slippage check)
5. Net edge after all deductions

Only opportunities where net edge exceeds the configured minimum threshold are flagged for execution.

4. Autonomous Trade Settlement

Once a qualifying opportunity is confirmed, the execution engine submits both legs as Fill-Or-Kill (FOK) orders. If either leg fails to fill, the other is immediately canceled to eliminate one-sided directional exposure. Both legs are submitted in parallel (not sequentially) to minimize the time window between the first and second order.

Execution logs, P&L tracking, and trade metadata are recorded in real time for review.

Step 5: Capital Rotation and Exit

Holding arbitrage legs until market resolution is capital-inefficient. A 2% gain over 90 days is equivalent to roughly 8% annualized, before fees, not a return that justifies dedicated infrastructure investment.

Our bots implement a rotation strategy: each open position is monitored continuously. When the spread closes, meaning the market has corrected the inefficiency and the position can be exited profitably, the bot exits immediately rather than waiting for resolution. This dramatically improves capital velocity. On a 2% per-trade basis with weekly rotation, effective annualized returns are substantially higher than the per-trade percentage suggests.

Manual Trading vs. Polymarket Arbitrage Bot: Structural Comparison

The performance gap between manual and automated Polymarket trading is not marginal, it is structural. Manual traders cannot physically match the execution speed, market coverage, or operational continuity that a properly engineered bot delivers.

Architecture of a Polymarket Arbitrage Bot: Component-by-Component

Component 1: Market Data Ingestion Layer

The bot subscribes to Polymarket's WebSocket feed to receive real-time order book updates across all active markets. For cross-platform arbitrage, a parallel REST polling loop hits the Kalshi API on a 500–1000ms cadence. Both data streams are normalized into a unified pricing format before being passed to the opportunity detection engine.

A dedicated Polygon RPC node (QuickNode, Alchemy, or self-hosted) is used for all on-chain reads. Public RPC nodes introduce 50–200ms of additional latency, meaningful when average opportunity windows are 2.7 seconds. RPC failover logic switches to a backup endpoint if the primary degrades below a configurable latency threshold.

Component 2: Opportunity Detection Engine

The detection engine runs on every price update. Execution logic per strategy type:

• Intra-market: (YES price + NO price) < (1.00 - polymarket_fee_rate - gas_estimate - minimum_edge_threshold)
• Cross-market: The engine evaluates the dependency graph on every relevant price change, checking for logically inconsistent pricing across related markets
• Cross-platform: Normalizes Kalshi and Polymarket prices for matched events, checks if any leg combination produces positive expected value after both platforms' fees

Detection target: under 10ms per market update. Our implementation uses a pre-computed market graph with incremental updates rather than recalculating the full graph on every tick.

Component 3: Execution Engine

When an opportunity clears the minimum edge threshold, the execution engine submits orders simultaneously (or as close to simultaneously as the APIs permit).

• Intra-market: Both YES and NO legs submitted as FOK orders. If either leg fails to fill, the other is immediately cancelled.
• Cross-platform: The bot submits to both Polymarket and Kalshi within a configurable maximum latency window (default: 2 seconds). If the second leg cannot be confirmed within that window, the first leg is unwound.

Order routing uses maker orders where the order book structure permits, preserving the full spread and, in some cases, earning a maker rebate that improves net margin.

Component 4: Capital and Risk Management

The bot maintains real-time capital accounting:

• Available USDC.e balance
• Committed capital in open positions
• Realized PnL for the current session
• Unrealized PnL across all open legs

Hard limits include: maximum notional per opportunity, maximum capital deployed simultaneously, daily loss cap (bot pauses if session PnL drops below a configurable floor), and fee tracking that prevents executing negative-EV trades at the gating stage.

Component 5: Rotation and Exit Logic

Each open position is tracked continuously. The bot monitors the spread in real time. When the market corrects the inefficiency and the combined position can be closed at a profit, the bot exits immediately, freeing capital for the next opportunity. Exit logic is strategy-aware: intra-market positions exit when the combined leg value exceeds acquisition cost; cross-platform positions exit when the spread closes on either platform.

Layer-by-Layer Technical Architecture

How to Generate Consistent Profits with Arbitrage Trading Bots

Consistent profitability from Polymarket arbitrage depends not just on detecting spreads, but on executing a disciplined framework across every trade. These six mechanics separate break-even bots from genuinely profitable ones.

1. Fee-Adjusted Edge as the Gating Condition

No trade executes without first computing net edge after all cost deductions: Polymarket's 2% fee on winning positions, Polygon gas (~$0.007 per transaction), and, for cross-platform trades, Kalshi's fee structure. Opportunities that appear profitable at the gross level but fail the net-of-fee test are logged as near-misses and not executed.

2. Liquidity-Weighted Execution

The bot validates order book depth at the target price before committing. If there is insufficient liquidity to fill the intended position without price impact, the order size is reduced to what the book can absorb or the trade is blocked entirely. This protects against slippage, converting a mathematically positive spread into a loss.

3. Atomic Order Placement

Both legs of every trade execute as a single atomic operation where the API permits. This eliminates the risk of one leg filling while the other fails, a scenario that creates directional exposure on a position that was never intended to carry it.

4. Maker Order Preference

The bot uses maker orders wherever the order book structure permits. On Polymarket's CLOB, maker orders typically preserve the full spread and, in some market conditions, earn a rebate. On thin spreads of $0.01–$0.02, this difference between taker and maker fees can determine whether a trade is net-positive.

5. Capital Turnover Optimization

Capital is recycled across multiple arbitrage cycles per day rather than held in a single large position. Higher capital turnover velocity, the number of complete arbitrage cycles per unit of capital per day, is the primary driver of compounding return growth. Exiting positions at spread closure (not at resolution) is the mechanism that enables this.

6. Linear Position Sizing with Depth Constraints

Gross profit scales proportionally with position size, but only up to the point where your order begins moving the market. The bot enforces a maximum position size relative to available order book depth at the target price, ensuring execution does not consume the spread it is trying to capture.

Technology Stack for Polymarket Arbitrage Bot Development

Our Polymarket Arbitrage Bot Development Services

We build end-to-end Polymarket arbitrage bots from single-strategy intra-market execution to multi-strategy platforms with cross-platform Kalshi integration. Every engagement includes architecture consultation, Polygon Mainnet testing, full source code handoff, a 90-day support warranty, and paper trading mode as standard.

Intra-Market Arbitrage Bot

Monitors all active Polymarket markets for YES+NO mispricing above your configurable net minimum edge. Includes real-time WebSocket monitoring, FOK order execution with cancel-on-partial-fill logic, fee-adjusted opportunity gating, capital accounting, and trade logging with full P&L metadata.

Best for operators new to Polymarket arbitrage who want to validate the opportunity landscape before adding cross-market or cross-platform complexity.

Cross-Market Arbitrage Bot

Builds and maintains a dependency graph of logically related markets and executes when cross-market pricing becomes inconsistent beyond the configured minimum edge. Requires domain knowledge in your target market categories (politics, sports, crypto) to define the dependency relationships correctly. We work with you to map your target categories during the scoping phase.

Polymarket–Kalshi Cross-Platform Arbitrage Bot

A unified bot monitoring both Polymarket and Kalshi simultaneously. Automatically matches equivalent events across platforms, calculates net edge after both platforms' fees and settlement costs, and executes multi-platform legs within a configurable latency window. Includes capital bridge monitoring (Kalshi fiat vs. Polymarket USDC.e balances) and settlement timing management.

Multi-Strategy Arbitrage Platform

All three arbitrage strategies — intra-market, cross-market, and cross-platform run in parallel with a unified capital allocation layer that prioritizes opportunities with a risk-adjusted edge. It includes a React performance dashboard, strategy configuration UI, real-time PnL tracking, paper trading simulation mode, and a full security audit.

This tier reflects market data through Q1 2026 showing that 27% of profitable automated Polymarket trading comes from non-arbitrage strategies. The bots generating the best risk-adjusted returns combine arbitrage with market-making or probability-based directional strategies, adapting capital allocation dynamically based on current opportunity density.

Strategy Consulting and Bot Audit

For teams who have already built a polymarket arbitrage bot and want an independent technical review. We audit your detection logic, execution engine, fee calculation correctness, risk management, and performance gaps. We also scope enhancements, latency optimization, and Kalshi integration.

Security Architecture in Polymarket Arbitrage Trading Bot Development

• Smart Contract Risk Analysis – Audits and tests ensure contracts are secure and free from vulnerabilities.
  
  
• Wallet Isolation – Funds remain in user-controlled wallets, reducing custodial risks.
  
  
• Transaction Validation Integrity – Ensures trades are executed exactly as intended with full on-chain verification.

Anti-Slippage and Front-Running Mitigation

• Gas Fee Optimization – Dynamically adjusts transaction fees to reduce costs and prevent failed trades.
  
  
• Private Transaction Relays – Routes trades through private channels to avoid front-running and MEV attacks.

Polymarket Arbitrage Trading Bot Development Cost

Development cost scales with strategy complexity, the number of arbitrage types covered, and whether you need a user-facing platform layer. All projects are fixed-price with milestone billing, you never pay for scope creep you did not authorize.

What Affects Development Cost

• Number of strategy types: Each additional arbitrage strategy (intra-market, cross-market, cross-platform) adds detection logic, execution handling, and testing scope.
• Cross-platform complexity: Kalshi integration requires separate API authentication, market normalization, and settlement timing management, the most technically complex component.
• Capital allocation layer: A unified layer that dynamically allocates capital across multiple strategies based on opportunity scoring adds significant development complexity.
• Dashboard and UI: Basic trade logging is low-cost; a full React performance dashboard with real-time PnL attribution and strategy configuration adds 1–2 weeks of frontend work.
• Simulation / paper trading mode: Included as standard in all our bots, not an add-on.
• Security audit: Included in the Multi-Strategy tier; available as an add-on for other tiers at cost.

The Real Challenges of Arbitrage on Polymarket in 2026

We believe in giving clients an accurate picture of the opportunity before they invest in development.

Intra-Market Opportunities Are More Competitive Than in 2024

The average intra-market opportunity duration has fallen from 12.3 seconds in 2024 to 2.7 seconds in 2026. The majority of these opportunities are captured by bots executing in under 100ms. Without a dedicated RPC node and low-latency infrastructure, intra-market arbitrage is increasingly difficult to capture consistently.

Fees Are the Primary Profitability Constraint

Polymarket's 2% fee on net winning positions means an opportunity must offer more than a 2% gross edge before it is profitable at all. After fees, the median intra-market spread that actually executes profitably is approximately 3–4% gross edge. Many visible mispricings in the 0.5–1.5% range are negative-EV after fees and should not be executed. Our bots calculate net-of-fee edge as a gating condition, not an afterthought.

Capital Lock-Up Reduces Effective Returns

An arbitrage position is held until market resolution ties up capital that could be deployed elsewhere. A 2% gain over 90 days is not a 2% return - it is roughly 8% annualized before fees and gas. Capital rotation, exiting when the spread closes rather than at resolution, is how serious arbitrageurs generate returns that justify the infrastructure investment.

Cross-Platform Arbitrage Carries Settlement Timing Risk

When executing Polymarket–Kalshi arbitrage, the two legs settle through completely different systems: Polymarket on Polygon (USDC.e, same day), Kalshi through fiat banking (1–3 business days). During the settlement window, the position carries mark-to-market risk if prices move significantly. Our bots manage this by sizing cross-platform positions conservatively and prioritizing markets with short resolution timelines.

Pure Arbitrage Is Not Enough for Institutional Returns

Market data through Q1 2026 shows that the bots generating the best risk-adjusted returns run multi-strategy portfolios. Our Multi-Strategy Platform tier is designed around this insight — not as an upsell, but as an accurate reflection of what the current market rewards.

Who Uses Polymarket Arbitrage Trading Bot

Quantitative Trading Firms

Quant desks exploring prediction markets as an alternative alpha channel deploy arbitrage bots as their initial infrastructure layer. The bot generates returns while the team develops more complex directional strategies, and provides real-time microstructure data useful for calibrating probability models.

DeFi Protocols with Stablecoin Treasuries

Protocols with idle USDC.e capital deploy arbitrage bots to generate consistent, low-directional-risk yield. Intra-market and cross-market arbitrage produces returns largely uncorrelated with crypto price movements, a meaningful diversification benefit for protocols with large stablecoin reserves.

Prediction Market Analytics Products

Platforms building analytics tools, signal products, or copy trading services on top of Polymarket use arbitrage bot infrastructure as part of their automated market participation strategy. The arbitrage activity also generates high-quality labeled data on market inefficiencies, useful for training probability models and improving forecasting accuracy.

Individual Operators with Systematic Approaches

Experienced traders who have traded Polymarket manually and understand its market structure commission custom bots to scale their strategies beyond what manual execution permits. These clients typically start with the Intra-Market Bot tier and expand to cross-market or cross-platform after observing live performance.

Future Trends in Polymarket Trading Bot Development

AI-Powered Predictive Market Analysis

Next-generation bots will move beyond reactive arbitrage into predictive positioning, using ML models trained on historical pricing data, news sentiment, and social signals to identify markets where spreads are likely to open before they appear in the order book.

Expanded Cross-Platform Arbitrage

As prediction markets mature and new platforms launch, cross-market arbitrage opportunities will multiply. Bots that can monitor Polymarket, Kalshi, and emerging platforms simultaneously will have access to a significantly larger spread pool.

Autonomous Strategy Optimization

Self-adjusting bots will dynamically recalibrate risk thresholds, capital allocation, and spread minimums based on real-time market conditions, removing the need for manual parameter updates as market microstructure evolves.

Layer-2 Settlement Latency Reduction

Improvements to Polygon and other Layer-2 networks will further reduce on-chain settlement latency and transaction costs, improving net margins on thin-spread opportunities that are currently uneconomical after gas fees.

Regulatory-Aware Execution Logic

As prediction market regulations evolve across jurisdictions, enterprise-grade bots will incorporate compliance logic that adapts execution behavior based on the regulatory status of the active market, including geo-restriction enforcement and KYC-linked position limits.

Why Choose Suffescom for Polymarket Arbitrage Trading Bot Development?

Suffescom is a prediction market platform development company building high-performance trading bots for decentralized ecosystems. Our solutions are designed to scan markets in real time, detect pricing inefficiencies, and execute arbitrage trades at machine speed on Polymarket's CLOB infrastructure. Whether you're building a trading bot or exploring polymarket clone development, our team helps you launch scalable, production-ready platforms.

What makes our Polymarket bot development different from generic automation vendors:

• Native CLOB integration - we build directly against Polymarket's official API, not third-party wrappers, for maximum execution speed and reliability.
  
  
• Security-first architecture - every bot ships with a full smart contract audit and non-custodial wallet architecture before going live.
  
  
• Fee-optimized execution - our spread calculation engine accounts for all fee structures before any trade fires, eliminating the most common cause of bot unprofitability.
  
  
• Cross-platform ready - our modular architecture supports Kalshi integration without a full rebuild.
  
  
• Transparent reporting - every execution is logged with full trade metadata, giving operators complete visibility into P&L attribution.

FAQs

1. What is a Polymarket arbitrage trading bot?

An automated system that monitors Polymarket's order book for situations where YES + NO contract prices sum to less than $1.00 (or where logically related markets are priced inconsistently) and executes the offsetting positions simultaneously to lock in a deterministic, risk-neutral profit at settlement after accounting for all applicable fees.

2. How does Polymarket automated trading bot development work?

The development process involves CLOB API integration, a real-time spread detection engine, fee-aware execution logic, non-custodial wallet connectivity, and a risk management layer. The complete stack takes 3–10 weeks depending on complexity tier. All engagements include paper trading mode before any capital is deployed.

3. What makes prediction market arbitrage bots better than manual trading?

Three structural advantages: execution speed (milliseconds vs minutes), market coverage (all active markets simultaneously vs 3–5), and operational continuity (24/7 vs 8–10 hours). Manual traders cannot physically match any of these at scale.

4. What risks should I consider with a Polymarket arbitrage bot?

Key risks include taker fees reducing profits, slippage due to limited liquidity, and execution delays if markets rebalance too quickly.

5. How is ROI calculated for prediction market arbitrage bots?

ROI depends on cost-to-payout spreads, execution speed, capital allocation, and compounding across multiple simultaneous trades.

6. Why choose Suffescom for Polymarket trading bot development?

Our team builds natively against Polymarket's CLOB API, ships every bot with a full security audit and non-custodial architecture, and integrates fee optimization logic that prevents the most common cause of bot underperformance. We support both single-platform and cross-market (Polymarket + Kalshi) execution from the same modular codebase.

7. Do I need trading experience to use a Polymarket arbitrage bot?

The bot handles all execution automatically, so trading experience is not required to operate it. However, understanding the arbitrage model, fee structures, and risk parameters is strongly recommended before deploying real capital. Our onboarding process includes a strategy walk-through and paper trading period for all new deployments.

8. Is Polymarket bot trading legal?

Polymarket explicitly supports API-based and automated trading through its official CLOB API and SDK documentation. Automated bots are a standard and accepted participant class on the platform. Geo-restrictions apply — Polymarket is not available to US-based users and in certain other jurisdictions. Any automated trading activity is subject to the same geographic restrictions as manual trading on the platform.

9. How much capital do I need to start?

There is no hard minimum, but we recommend at least $5,000 in deployed capital for intra-market arbitrage to generate meaningful returns above infrastructure costs. Cross-platform arbitrage between Polymarket and Kalshi becomes more capital-efficient at $20,000+, where the fixed settlement and infrastructure overhead becomes a smaller proportion of returns. 

10. What happens if one leg of the arbitrage fails to fill?

All arbitrage legs are submitted as Fill-Or-Kill (FOK) orders. If any leg does not receive a fill confirmation within the execution timeout, all other legs are immediately cancelled. This is a hard safety requirement, the bot will never hold a one-sided arbitrage position that was intended to be hedged.