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To control slippage in a Polymarket bot, estimate the average price for the full order from live opposite-side book depth, set a strict maximum buy price or minimum sell price, and reduce or skip trades that exceed your strategy’s cost limit. Then choose an order type that matches whether price control, immediate execution, or partial fills matter most. These controls limit exposure to poor prices; they cannot guarantee a particular fill.

What slippage means on Polymarket

Polymarket prices come from user orders in a central limit order book. The displayed price is usually the bid–ask midpoint; when the spread is wider than $0.10, the platform’s documentation says it shows the last traded price instead. Neither figure guarantees an executable price for your intended quantity. A buyer trades against asks, while a seller trades against bids, and a larger order can consume multiple levels at progressively worse prices. Polymarket’s Prices & Orderbook guide illustrates this with a $0.34 best bid and $0.40 best ask: the displayed midpoint is $0.37, but a buyer pays the ask and a seller receives the bid. Those are explanatory values, not market-wide statistics.

For bot monitoring, separate three price effects:

  • Spread cost: the difference between your reference price, such as the midpoint, and the executable top-of-book quote.
  • Size impact: the additional price movement when your quantity consumes multiple book levels.
  • Realized execution difference: the difference between your chosen reference price and the weighted average price of your actual fills.

Keep platform fees separate from these price measures. The cited documentation does not establish one universal slippage formula or numeric cap for every market.

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Estimate the price for the full order before submitting

Use the specific outcome asset’s current book, not just a headline price or midpoint. For a buy, walk the asks; for a sell, walk the bids. Add the notional value at each level until the intended share quantity is covered, then divide total notional by the number of shares covered to estimate the average execution price.

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  1. Fetch or maintain the book for the outcome token you intend to trade.
  2. Read the opposite-side levels in executable order: asks for a buy, bids for a sell.
  3. Allocate your requested quantity across levels until it is fully covered, and calculate the quantity-weighted average price.
  4. Compare that estimate with your strategy’s reference price and allowed deterioration.
  5. If the estimate exceeds your limit or the book cannot cover the quantity, reduce the size, wait for conditions to change, or decline the order.

This is a practical estimate based on the documented book structure, not a promise about the eventual fill. Quotes may change between observation and matching, and some markets have configured order delays. The Place Orders guide describes the book fields and order constraints; Order Lifecycle explains matching behavior.

Set a price boundary and select the order behavior

Polymarket states that all orders are limit orders. What is commonly called a market order is a limit order priced to execute immediately against available resting orders. A limit price defines the worst price you will accept, but an order that rests may not fill. Choose the order’s time-in-force according to the consequence of waiting or receiving only a partial fill:

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Order behavior What happens When it can fit
GTC Rests until filled or cancelled. When there is no strict deadline and the bot can monitor and cancel stale orders.
GTD Rests until filled, cancelled, or its specified expiry. When an order should remain available only until a defined time. The current guide documents a one-minute security threshold before stated expiry and a minimum future-expiry constraint; validate the live requirement when submitting.
FOK Requires the full quantity immediately or cancels. When a partial position is unacceptable; it does not guarantee a fill.
FAK Fills the immediately available quantity and cancels the unfilled balance. When an immediate partial position is acceptable.
Post-only If supported and enabled, rests as maker liquidity and is rejected if it would match immediately. Only when the relevant interface supports it and the bot has verified current behavior.

The first four behaviors are described in Polymarket’s Order Lifecycle documentation. Confirm post-only support in the client or API you use rather than assuming it is available. For a buy, apply the boundary as a maximum price; for a sell, use a minimum price. Price protection may mean waiting or not trading at all.

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Keep the bot’s market state current

Cached depth can become stale quickly. Polymarket’s market-data stream documents book, price-change, last-trade-price, and tick-size-change events. Use the relevant events to refresh the cached book and recompute or invalidate pending price and size decisions after a change. The documentation also advises integrations that store tick size to listen for tick-size changes. Real-Time Data and Place Orders describe these data and constraint considerations.

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  • Check the asset’s bid and ask levels, available sizes, spread, minimum order size, and tick size.
  • Use market metadata where provided, including market-type fields such as negative-risk metadata.
  • Validate the current minimum size and tick size around submission rather than hard-coding assumptions across markets.
  • Recalculate the expected average price if a relevant book or tick-size update arrives before submission.

Verify order status and measure actual execution

A successful submission is not the same as a completed trade. Check the response for acceptance and status, such as live, matched, or delayed; inspect trade IDs and transaction hashes where returned. In configured markets, a marketable order may be delayed before matching. The current documentation describes a 250 ms taker-delay case for selected crypto and finance up/down markets, as well as sports or game delays in configured sports markets. During a delay, the order is pending and cannot be cancelled. Do not assume these delays apply to every market; check the market’s configuration. Place Orders and Order Lifecycle describe the relevant behaviors.

For each attempt, log the requested quantity, reference price and its definition, estimated average price, limit, order type, timestamps, status, filled quantity, and weighted average fill price. This lets you compare the estimate with the actual execution and identify whether costs came from the spread, depth consumed, or execution conditions. The official material cited here does not publish slippage performance for a specific bot.

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Evaluate changes without inventing a universal cap

Polymarket’s reviewed documentation does not establish a standard numeric slippage threshold that suits every strategy or market. Set a strategy-specific price-deterioration budget, then assess it using your own recorded orders and fills. When comparing configurations or venues, keep the market, time window, order size, and reference-price convention consistent. Useful measures include:

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  • Spread and depth available at the intended size.
  • Estimated versus realized weighted average price.
  • Fill rate and partial-fill rate.
  • Time to fill and cancellation rate.
  • Applicable fees, tracked separately from price slippage.

Fees have their own market-specific treatment; consult the current Polymarket Fees documentation rather than folding an assumed fee into a price estimate.

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Check live rules before deployment

Tick size, minimum order size, fees, market configuration, matching delays, and feed behavior can change and are not necessarily identical across markets. The guidance above reflects official Polymarket documentation accessed on October 7, 2026. Recheck the live market metadata and current official documentation before deploying or changing a bot.

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