A Polymarket bot can detect a promising signal and still fail to get the position it expected. The signal must become a correctly signed, valid order; the order must interact with available liquidity under its chosen rules; and a match must settle before it is a confirmed trade. Each step can change the outcome, price, quantity, or timing.
What has to happen between a signal and a trade?
A signal is a decision input, not an order. In Polymarket’s documented lifecycle, the client builds an order with an outcome token ID, side, price, size, expiration, and timestamp, signs it with an EIP-712 signature, and submits it to the central limit order book (CLOB). The operator then validates the signature, available balance, required allowance, and minimum tick-size rules. An error or mismatch at any of these stages can prevent the order from reaching the book or being matched.
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- Choose the intended asset and order terms. Confirm that the token ID corresponds to the intended outcome, and that side, price, size, and expiration match the strategy’s decision.
- Sign and submit. The client signs the order and sends it to the CLOB. A detected opportunity alone does not reserve shares or guarantee acceptance.
- Pass validation. The operator checks the signature, balance, allowance, and tick-size requirements. A strategy that assumes old market metadata or an outdated balance can construct an order that is rejected.
- Interact with the book. A marketable order may match available opposing orders; a non-marketable order can rest until it is matched, cancelled, or—if it is a GTD order—expires.
- Track settlement separately. After a match, the operator submits a trade to the blockchain, where the settlement contract verifies and settles it. Matching and final confirmation are separate events.
This lifecycle is described in Polymarket Documentation’s “Order Lifecycle” page, accessed October 7, 2026. A bot should represent order acceptance, matching, and settlement as distinct states rather than treating a successful submission response as proof that it owns the expected position.
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A midpoint is a reference between the best bid and best ask; it does not mean shares are available to buy or sell at that price. A last trade may no longer reflect the live book. The best quote shows only the top of the book, so it cannot establish the price available for a larger order.
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An immediately executing buy consumes asks, starting with the lowest available ask; an immediately executing sell consumes bids, starting with the highest available bid. For a buy estimate, walk the asks in price order, add the available shares at each level, and accumulate price multiplied by shares until the requested quantity is covered. The resulting average is an estimate based on the book snapshot. If the visible depth is insufficient, report that rather than assuming the remaining quantity will fill. Include estimated price impact, applicable fees, and the strategy’s slippage limit in the decision.
These estimates are not fill guarantees: the book can change before the order arrives, and a live order may encounter different available size. The independent CLOB API guide reviewed September 7, 2026, also warns that its /price endpoint labels can be counterintuitive: side=BUY returns the best bid, while side=SELL returns the best ask. Those response labels should not be mistaken for the opposing book side consumed by an immediately executing order.
Which order type fits the bot’s execution goal?
Order type determines what the bot is willing to trade off: full quantity, partial quantity, waiting, or maker-only behavior. None preserves a signal’s profitability if the market moves while the order is being placed or resting.
| Order type | Execution behavior | Useful when | Main trade-off |
|---|---|---|---|
| GTC | Rests on the book until matched or cancelled. | The strategy is willing to wait for a price rather than take available liquidity immediately. | The order can remain exposed while the market changes. |
| GTD | Rests until matched, cancelled, or its specified expiration. | The strategy wants a resting order with a defined time limit. | An unfilled order expires; waiting does not ensure a match. |
| FOK | Requires the full requested quantity immediately; otherwise it does not fill. | The strategy needs all-or-nothing size. | Available depth may be too small for the entire quantity. |
| FAK | Accepts the immediately available partial quantity and cancels the remainder. | A partial position is preferable to no position. | The resulting position may be smaller than the strategy intended. |
| Post-only | Rests on the book; if it would cross the spread and match immediately, it is rejected instead. | The strategy requires maker-only placement rather than taking liquidity. | It may be rejected or remain unfilled instead of executing immediately. |
Polymarket’s documentation describes post-only as guaranteeing the order will rest as maker liquidity rather than execute as taker liquidity. That rule does not guarantee the order will later be matched. Before choosing a type, set the maximum tolerated slippage, acceptable partial-fill size, expiration policy, and response to adverse movement while resting.
When can a market-specific delay affect an order?
Polymarket documents a 250 ms taker delay on selected crypto and finance up/down markets. After that delay, validation runs again, and the order is matched or placed on the book. This is a documented behavior for selected markets, not a universal delay for every Polymarket order. Configured sports or game markets can also have delays tied to live-game conditions.
During a pending delay window, the order cannot be cancelled. Polymarket’s documentation says, “During either delay, the order is pending and cannot be canceled.” When the delay ends, the order can still be rejected if market, balance, allowance, or risk checks fail. A bot that counts a pending order as a secured position—or assumes it can withdraw the order during the delay—can report exposure it does not have.
How can stale data make a good signal unusable?
Market discovery, order execution, account activity, and settlement are exposed through different data services. Gamma provides market discovery and metadata; the CLOB handles books and order management; the Data API provides public account and activity data; and separate market and authenticated user WebSockets provide updates. On-chain indexing can show settlement and contract events, but it does not reconstruct the full off-chain resting CLOB book.
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That distinction matters when a bot uses book changes to infer what traded or to estimate available liquidity. A 2026 preprint by Philipp D. Dubach, based on a 600-market panel joining public WebSocket order-book data with on-chain records, found that inferred trade direction agreed with on-chain ground truth about 59% of the time (panel mean 0.615; 95% confidence interval 0.58–0.65). The author says analyses that require trade direction should use on-chain OrderFilled events. The result is specific to that study’s sample, collection window, and methods; it is not a measured error rate for every bot or feed.
The same preprint reports a sub-50 ms median archive-ingestion delay but a multi-second tail, as well as a depth-decay slope of 0.55 on log seconds-to-close within the studied categories. These are study-specific observations, not a latency or depth guarantee for a particular bot. In practice, a low median can coexist with occasional slow updates, and displayed depth near resolution may not represent what remains when an order arrives.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How should a bot verify what actually filled?
Keep separate records for the submitted order, any match, and each settlement status. Polymarket’s documented trade lifecycle includes MATCHED, MINED, CONFIRMED, RETRYING, and FAILED. A match indicates that orders matched; it is not the same as final settlement. A trade can still be in progress, retried, or fail.
- Update the bot’s order state from the relevant CLOB or authenticated user updates rather than inferring a fill from the signal or a submission acknowledgment.
- Track partial quantity explicitly. For a FAK order, account for the executed portion and treat the cancelled remainder as unfilled.
- Use the documented trade status to distinguish a match from mined and confirmed settlement; handle retrying and failed states instead of silently marking them complete.
- Reconcile settled activity against on-chain records when confirmation matters, while remembering that on-chain data does not reveal the full off-chain resting order book.
A practical execution checklist
- Refresh market-specific rules. Fetch the current tick size, minimum order size, fee configuration, negative-risk or protocol metadata, and operational status instead of hard-coding assumptions. The independent CLOB API guide identifies these as settings to check.
- Validate the order inputs. Check outcome token ID, side, price, size, expiration, balance, and allowance before signing.
- Estimate the executable price. Use the relevant opposing book side and enough depth for the intended size; compare the estimate, fees, and slippage with the strategy’s limits.
- Select behavior intentionally. Choose whether the strategy needs all requested size now, accepts a partial fill, prefers to rest, or requires maker-only placement. Account for any delay configured for that market.
- Manage the lifecycle. Record submission, pending delay if applicable, match, and settlement status as distinct events; do not report the intended quantity as a position until the relevant fill and settlement states support it.
There is no general measured rate in the cited material for how often Polymarket signals fail to fill, and it establishes neither a universal API latency or execution SLA nor the profitability of any strategy. The useful operational question is therefore not only whether a signal was detected, but whether the intended order was valid, executable at an acceptable price, matched in the required quantity, and confirmed through settlement.
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