Quote Polymarket outcome tokens from an estimate of the contract’s fair value—not from the underlying reference price alone. First define exactly what reference and settlement condition matter; then map the reference and time remaining to an outcome probability, adjust for uncertainty and inventory, and check whether the binary order book offers executable prices. A TWAP execution schedule is a separate concept: it divides an order across time and does not, by itself, define a market’s settlement price or a market-making formula.
What does “TWAP” mean in a Polymarket quoting strategy?
Three different values or processes can be mistaken for one another:
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- The reference is the external value or series being monitored, such as a spot price, index, oracle reading or time-window average.
- The outcome-token price is the price at which a Yes or No contract token can be quoted or traded on Polymarket’s binary market. It is not the reference asset’s price.
- A TWAP execution schedule divides a parent order into smaller child orders submitted over a period of time. It describes how to execute an order, not how to determine an outcome token’s fair value.
Do not infer that a Polymarket market settles using a time-weighted average just because a trader uses TWAP execution or watches a moving average. The market’s own rules must specify its resolution condition and any averaging window. The Polymarket documentation describes a hybrid-decentralized central limit order book: matching and ordering are handled off-chain, while execution and settlement occur on-chain under signed limit-order instructions. The documentation also says the operator cannot set a user’s price or execute outside those instructions.
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How should a market maker construct a quote?
The following is an analytical framework, not an official Polymarket formula or a proven profitable strategy. It is intended to make the assumptions behind a quote explicit.
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1. Define the reference and its timing
Specify the instrument, data source, timestamp convention, update cadence and whether the input is spot, an index, an oracle value or a windowed average. If it is a TWAP reference, define the averaging interval, observation cadence and treatment of missing or stale observations. Align the reference timestamps with book updates and trades; otherwise, a backtest or live decision may compare values from different moments.
Then identify the market’s exact resolution wording and authoritative data source. The general platform materials do not establish a single reference feed or lookback window for every market. Verify the specific market rules before treating any external series as the settlement reference.
2. Translate reference and time into contract fair value
Estimate the probability of the market’s defined outcome conditional on the reference and the time remaining. A raw move in the underlying price is not itself an equal-sized move in outcome probability. The conversion depends on the event threshold or condition, the market’s resolution rule, volatility and remaining time.
Make the model assumptions visible: what counts as a valid observation, how uncertainty is estimated and how the estimate changes as time runs down. The result is a fair-value estimate for the contract—not a promise that the market will trade there.
3. Set a two-sided quote and account for risk
Use estimated fair value as the center of a two-sided quote, then adjust the bid and ask for uncertainty in the reference, data latency, inventory, adverse selection and expected execution costs. A trader who is already long an outcome token may rationally quote less aggressively to buy more and more aggressively to sell, subject to risk limits.
There is no universally supported spread, hedge ratio or latency threshold in the platform material described here. Choose parameters from the market’s liquidity, risk limits and measured results rather than treating a fixed setting as a general rule.
4. Check the actual binary book
Polymarket CLOB price requests are keyed by the token ID for a particular Yes or No outcome. The Polymarket Institute’s research-data guide describes Gamma’s clobTokenIds as identifying those tokens and demonstrates a best-price request and a /prices-history query. Use current, token-specific data; example values in a guide are not live quotes.
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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchBefore quoting or sizing, inspect both outcomes’ best prices and available depth, along with current tick size and any applicable fee or incentive terms. An indicated midpoint or historical price does not prove that size is executable there. Consider how the two outcome tokens relate under the market’s binary structure, but do not assume their displayed bid and ask prices are exact complements at every moment.
The Institute guide points readers to Polymarket’s Orderbook & Pricing documentation for fees, tick sizes and spreads. Its Data API pointers include trade-history and user-history data. Check current official documentation and market-specific terms rather than relying on archived fee schedules or assuming a reward applies to a particular account.
5. Refresh quotes with explicit controls
Decide in advance what triggers a cancel-and-replace: a material reference move, a book change, an inventory limit, a market-status change or deteriorating data freshness. Set a maximum quote age and size caps, and define a fail-closed response—for example, stop posting new quotes and cancel resting quotes—if the reference feed or order-book stream becomes stale.
These are risk-control recommendations, not claims about Polymarket’s own quote-refresh implementation. Signed limit orders constrain what can execute, but they do not make an out-of-date reference or an unintended inventory position safe.
6. Evaluate execution, not just the forecast
Track distinct outcomes rather than judging the strategy by whether the reference forecast looked right:
- Fill probability: how often a posted quote trades, with queue position taken into account.
- Realized spread: the price difference captured on fills, evaluated against the relevant fair-value estimate.
- Post-fill markout: how the market moves after a fill over defined horizons, which can reveal adverse selection.
- Inventory drift: how fills change exposure and whether positions accumulate in one outcome.
- Execution shortfall: the cost of execution relative to a stated benchmark, including partial fills and fees.
Backtests should model queue position, partial fills, fees and timestamp alignment. Without actual Polymarket data and a described method, do not treat a simulated result as evidence of live performance.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Fixed-spread versus reference-adjusted quoting
A fixed-spread quote keeps its distance from a chosen center relatively stable. A reference-adjusted quote moves its center or its width in response to a reference or risk estimate. Neither is automatically superior; the choice depends on whether the reference is informative, timely and operationally reliable.
| Consideration | Fixed-spread quote | Reference-adjusted quote |
|---|---|---|
| Response to genuine fair-value changes | May lag if its center is not updated. | Can respond as the estimate changes, if the input and mapping are reliable. |
| Stale-reference adverse selection | Not dependent on a reference input, but can still be stale relative to the market. | Can be vulnerable when the reference is delayed, misaligned or stale. |
| Inventory sensitivity | Requires a separate inventory adjustment if exposure is to affect the quote. | Can incorporate inventory adjustments, but the reference response alone does not manage inventory. |
| Quote stability | Often simpler to keep stable, though the center still needs a basis. | Can react to noise as well as meaningful movement; filtering introduces lag and assumptions. |
| Execution probability and queue position | Depends on where the fixed quote sits in the live book and its queue. | Also depends on the live book and queue; faster repricing can change queue position. |
| Fees and incentives | Must be included in expected execution economics. | Must also be included; responsiveness does not remove those costs or conditions. |
| Operational complexity | Generally needs fewer moving inputs, but still needs monitoring and limits. | Needs reference validation, timestamp alignment, stale-data handling and quote-refresh controls. |
If the moving input is a deterministic TWAP, its window length and observation cadence determine how quickly it reacts and how much short-term noise it smooths. A sampled or randomized observation scheme can behave differently in lag and noise sensitivity. There is no setting established here as optimal, and a reference calculation should not be confused with randomizing the timing of child orders.
What conventional TWAP execution can—and cannot—tell you
In conventional execution, TWAP slices an order across time, often to reduce market impact. The BIS Markets Committee’s 2020 report on FX execution algorithms warns that an overly aggressive schedule can still create substantial impact. It also describes randomizing execution timing as a way to reduce predictability and signaling in that FX context.
This is a useful execution analogy, not a Polymarket rule or measured Polymarket effect. A TWAP schedule can help describe how a parent order is worked; it does not establish a fair value for a binary contract, validate a particular quote, or determine how a market settles. The BIS discussion concerns FX markets, so it should not be presented as evidence that a specific schedule will improve Polymarket market-making results.
Which data and terms should be verified before trading?
- Confirm the market’s resolution condition, reference source and any averaging window in its own rules.
- Resolve the correct Yes and No token IDs, then obtain current token-specific prices and depth rather than reusing guide examples or historical observations.
- Check the live official Orderbook & Pricing documentation for tick sizes, spreads and applicable fees.
- Verify current market and account eligibility for any liquidity rewards or maker rebates; a help-page collection listing those topics does not establish current terms for every market or trader.
- Set freshness limits for the reference and book, plus cancellation behavior for stale data, market changes and inventory limits.
Polymarket’s help collection covers limit orders, liquidity rewards, maker rebates and trading fees, but a collection page alone is not a current fee schedule or an assurance of eligibility. Avoid relying on old fee numbers or archived schedules without checking current terms.
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