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A Polymarket market maker needs a quote engine that prices and manages resting bids and asks; a TWAP schedule, by contrast, breaks a larger trade into smaller executions over time. Treat them as separate components: the quote engine decides what prices and sizes to display, while an execution schedule decides how to work a particular order. A TWAP schedule is not, by itself, a fair-value model or a market-making strategy.
What does TWAP mean in a Polymarket market-making strategy?
In its conventional sense, time-weighted average price (TWAP) is an execution method: it divides a larger order into smaller child orders spaced across a period, with the aim of reducing market impact. The Bank for International Settlements describes this approach in its September 2020 report, FX execution algorithms and market functioning, and notes that contemporary schedules may randomize timing to make their activity less predictable.
That is different from market making. A market maker posts bids and asks, seeking spread while taking inventory and execution risk. Polymarket’s Market Making documentation describes the role as adding order-book depth, tightening spreads, supporting price discovery, and absorbing trading flow as conditions change.
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| Component | Question it answers | Typical output |
|---|---|---|
| Fair-value and quote engine | At what prices and sizes should the bot rest orders now? | Bid and ask prices and sizes, subject to risk and market constraints |
| TWAP execution schedule | How should a specific larger order be divided and timed? | Child-order sizes and intended submission times |
These components can interact: an execution schedule might submit orders using the quote engine’s current reference price or pause when market conditions breach its limits. That is an engineering design choice, not a Polymarket requirement. Do not use “TWAP” as a substitute for specifying how the bot estimates value, manages inventory, or maintains its quotes.
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How do you build a Polymarket market maker?
Build the system as a loop that turns current market state and account state into controlled orders. The key design boundary is between observations and decisions: market data describes the book and recent activity, while your strategy determines fair value, risk appetite, and quote placement.
- Read current market and account state. Maintain the market’s order book, tick size, minimum order size, open orders, recent trades, balances, and outcome-token positions.
- Calculate a strategy reference value. Use a probability estimate or another documented strategy input; do not assume the displayed midpoint is correct fair value.
- Apply risk and market constraints. Set quote width and size around the reference, adjusted for inventory, available balances, tick size, and minimum order size.
- Submit passive orders. Use the order type and post-only behavior that match the intended execution, and handle each order result.
- Reassess and maintain. Recompute when the relevant market state, inventory, or strategy input changes. Cancel and replace orders when a quote needs updating.
- Stop safely when required. Enforce price and position limits, monitor fills, and use a kill switch to cancel open orders when the system should no longer quote.
This is an implementation framework, not a profitability recipe. Polymarket’s market-making documentation describes platform behavior and controls; it does not establish that a particular quoting model will make money.
How should a Polymarket bot set both sides of the quote?
Use the midpoint as an observation, not an answer
The midpoint between the best displayed bid and ask summarizes the current book. It does not necessarily represent the probability your strategy should trade at. Polymarket’s Market Making guidance explicitly leaves it to the quoting strategy to decide whether the midpoint represents fair value and how much risk to take around it.
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Keep the distinction clear in the engine: the book is an input about available prices and depth; fair value is a strategy estimate. A probability model, a blend of relevant reference markets, or a microprice calculation could be candidate estimators, but these are engineering proposals rather than official Polymarket requirements. Record the estimator’s inputs and update cadence so you can tell whether a quote moved because the market changed or because your model changed.
Choose quote width and size under risk limits
Place bid and ask prices around the strategy reference, then constrain them to valid ticks and your price guards. The width and size should reflect the risk you are willing to take, including the possibility that only one side fills. Smaller size or wider prices can limit exposure, but also change how much liquidity the bot offers. There is no universal width or size established by the cited platform documentation.
When using a TWAP schedule alongside the quote engine, specify whether each child order is intended to rest as a quote, cross the spread to execute, or follow another policy. Those are materially different behaviors; a schedule that repeatedly submits marketable orders is not passive market making merely because it is time-sliced.
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How do you keep Polymarket quotes synchronized with the order book?
Polymarket’s Real-Time Data documentation describes market-stream events for book snapshots, price changes, last-trade prices, and tick-size changes. The platform advises using real-time feeds rather than repeated polling to keep market data current.
- Maintain a local book from snapshots and subsequent changes, and detect gaps or invalid state rather than quoting from a book you cannot trust.
- Process tick-size changes as trading constraints: validate the tick size again before sending a new or replacement order.
- Validate the applicable minimum order size before submission.
- On reconnect, reconcile open orders and recent trades before resuming quotes. This prevents the local view from treating an order as absent when it may still be live, or overlooking a fill received while disconnected.
These are synchronization safeguards, not claims about a particular latency, uptime, or guaranteed event-delivery time.
Which order types suit passive quoting?
Polymarket identifies GTC (good-til-canceled) and GTD (good-til-date) orders as primary passive market-making choices. A GTC quote remains active until canceled; GTD is useful when the quote should expire at a known time, such as before a scheduled catalyst. Use post-only when the strategy requires an order to add liquidity rather than immediately take it.
Polymarket’s Manage Orders and Market Making documentation state that orders cannot be edited in place. A changed quote therefore requires canceling the existing order and submitting a replacement. Design the maintenance path to handle the cancel and replacement outcomes individually, including the possibility that the old order fills while cancellation is being processed. Related price levels can be submitted in a batch, but each result still needs its own status and error handling.
How do you manage inventory in a prediction-market CLOB?
Track exposure by market and outcome, along with the balances needed to place each side. Every fill changes outcome-token exposure and available pUSD or tokens, so recalculate both the prices and sizes the bot is willing to quote after executions.
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- Skew prices or sizes: If inventory is imbalanced, adjust quotes to reduce the chance of adding further exposure in the same direction.
- Check backing balances: Do not submit sell orders that require outcome tokens you do not hold, and do not quote beyond available balances.
- Set hard limits: Define maximum position and order sizes, plus price guards against outliers.
- Monitor fills: Reconcile executions into inventory promptly so later quotes use current exposure.
- Stop deliberately: A kill switch should cancel live orders when system health or position limits require quoting to stop.
- Handle resolution: After a market resolves, reconcile positions and handle redemption as an explicit operational step.
Polymarket’s market-making guidance recommends inventory-aware price or size adjustments, limits, fill monitoring, price guards, and a kill switch. The particular limits and skew formula are strategy decisions; the documentation does not prescribe universal values.
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How should a quote engine handle fees and incentives?
Fee treatment depends on market settings and current program terms, so check them for the market being quoted instead of hard-coding a general assumption. Polymarket’s fee documentation, accessed October 7, 2026, says makers are not charged fees and only takers pay on applicable markets; it also describes potential maker rebates. The page lists taker fee-rate values of 0.07 for Crypto, 0.05 for Sports, and 0.04 for Finance and Politics, with a maker fee rate of 0 across the displayed categories. It says geopolitical and world-events markets are fee-free.
Those are values displayed in the documentation on that access date, not guaranteed future settings or a prediction of net returns. The same documentation describes maker rebates and liquidity rewards for qualifying liquidity, but eligibility and calculations vary. Verify the current market parameters and program terms before relying on any incentive in a model. Realized results also depend on fills, inventory, adverse selection, and execution; the cited official documentation provides no tested profitability results.
What should be tested before enabling live quotes?
- Book integrity: The engine stops quoting if its local book is stale, incomplete, or inconsistent.
- Constraint handling: Quotes conform to the live tick size and minimum order size, and remain within price guards.
- Order lifecycle: New, cancel, and replacement results are handled per order; partial fills and fills during cancellation update inventory correctly.
- Reconnect recovery: The engine reconciles open orders and recent trades before it resumes.
- Balance and position controls: Orders cannot exceed available funds or tokens, and configured position limits trigger the intended response.
- Shutdown: The kill switch cancels open quotes and prevents unintended resubmission.
- Schedule separation: If TWAP is used, child-order timing and size are tested separately from quote pricing, including the behavior when a risk limit or market-state guard pauses execution.
For general background on order-driven markets, orders, dealers, spreads, and liquidity, Larry Harris’s Trading and Exchanges: Market Microstructure for Practitioners is relevant reading. It is a market-microstructure reference, not a Polymarket API or implementation manual.
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