A reliable Polymarket bot is a pipeline, not a single trading script: discover a market and its outcome token, build a fresh view of its order book, generate a signal, pass it through risk checks, submit an order, then reconcile the order and position through settlement. Keep public market data separate from authenticated account actions, and check market rules and geographic eligibility at runtime.
How the architecture fits together
Separate the bot into replaceable components so that a strategy change does not require rewriting market-data handling or order submission. A practical flow is:
- Catalog: find active events and the specific tradable market within each event.
- Market data: subscribe to or retrieve the selected outcome’s book and maintain a timestamped local view.
- Strategy: estimate value and propose a side, price, and size.
- Risk gate: reject candidates that violate portfolio limits, market constraints, or geographic eligibility.
- Execution: submit, cancel, or replace orders through the authenticated trading path.
- Reconciliation: match order and trade events to account reads and settled positions.
Persist the inputs and decisions at each boundary. In particular, record the market metadata, book snapshot, model output, fee assumptions, risk decision, request, returned order ID, and subsequent order and trade events. That makes it possible to explain what the bot acted on when a fill or position differs from its initial expectation.
Discover the right market and outcome token
Polymarket groups one or more markets under an event. The event title is not necessarily the instrument the bot should trade: each market is a question, and each possible outcome has its own token ID. That token ID is the key connecting discovery to book reads and order placement. Selecting the wrong outcome token means acting on a different contract, even if the event title looks right.
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Build a refreshable market catalog
Use public discovery data to list active events or retrieve an event by ID, slug, or URL. An event can contain multiple markets, so store the market question and outcome labels alongside the token IDs rather than treating an event as a single instrument. Discovery supports filters and keyset pagination; checkpoint pagination cursors and refresh the active-market set instead of assuming one response contains the whole universe.
For each market, retain the market ID, condition ID when provided, outcomes and token IDs, active and order-acceptance state, minimum tick size, minimum order size, fee details, resolution text, and any negative-risk indicator relevant to the strategy. Refresh this metadata: markets can close, change state, or have constraints that affect whether a proposed order is valid.
Maintain market data that is safe to act on
For each selected outcome token, retrieve its order book and record the current book hash. Polymarket’s book data defines the ordering of bid and ask arrays and provides midpoint and spread methods. Keep both raw updates and normalized top-of-book and depth, with timestamps. Mark the local book stale after missed heartbeats or gaps; after reconnecting, seed it from a fresh snapshot before processing incremental updates again.
Polling or streaming?
| Approach | Useful when | Main trade-off |
|---|---|---|
| Polling book reads | The strategy can tolerate less-frequent observations and benefits from a simpler request-and-snapshot model. | Data can be out of date between reads; request volume and rate-limit exposure depend on polling frequency and the API’s current limits. |
| Market WebSocket | The strategy needs ongoing updates without repeatedly fetching the whole book. | Requires heartbeat handling, disconnect recovery, gap detection, and snapshot reseeding before decisions resume. |
The documented market WebSocket endpoint is wss://ws-subscriptions-clob.polymarket.com/ws/market. Its documented application heartbeat is a text PING every 10 seconds, with a PONG response. Protocol details can change, so verify the current WebSocket documentation when implementing or releasing a client.
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Do not treat a last trade, midpoint, and executable price as interchangeable. A midpoint is a reference between the best bid and ask; spread, available depth, and the proposed order size affect the price at which that order could actually trade. A displayed midpoint is not a promise of execution at that price.
Keep the signal separate from the trading adapter
The strategy should produce a candidate decision without submitting it directly. One useful sequence is to estimate an outcome probability, compare it with the executable side of the book after expected fees and slippage, choose a size, and pass the candidate to the risk gate. Store the relevant book snapshot and fee assumptions with the model output so the decision can be reviewed against what was available at the time.
Polymarket’s official materials do not establish a universally profitable strategy, validated edge, or performance statistic. If evaluating a strategy, document data coverage, controls against look-ahead bias, out-of-sample periods, fill assumptions, fees, and adverse-selection exposure. A market price can be read as a probability-oriented price, but it is neither a guaranteed forecast nor necessarily a calibrated probability or executable price for a particular order size.
Put a risk gate in front of every order
Run proposed orders through deterministic checks before they reach the authenticated trading adapter. Polymarket’s market-making overview recognizes that spread capture entails market and inventory risk; the API documentation does not prescribe universal numerical portfolio limits. Set limits appropriate to the bot and account, and make them configurable rather than embedding them in strategy code.
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- Maximum order notional and per-market position.
- Maximum exposure across correlated markets or outcomes.
- Maximum acceptable spread and estimated slippage.
- Loss or drawdown stop and a stale-data kill switch.
- Current order-acceptance state, tick size, and minimum order size.
- Runtime geographic eligibility before any order is sent.
Model negative-risk events deliberately
Some multi-outcome events use a negative-risk structure. Polymarket documents a conversion relationship between outcomes in this market type and contract addresses that differ from standard markets. If the portfolio aggregates exposure across outcomes, model that relationship; do not assume every YES or NO position is independent.
Check geographic eligibility at runtime
Query Polymarket’s live geoblock endpoint before trading and reject orders when the API reports trading is blocked or close-only. Restrictions exist for regulatory and sanctions compliance, may differ between the frontend and API, and can change. A fixed jurisdiction list in a bot is not a substitute for the live check.
Separate public data from authenticated account authority
Market discovery and market data are public paths; account actions require authentication. Keep read-only catalog and data processes separate from the component authorized to sign and submit orders.
Polymarket’s wallet documentation distinguishes the signer from the account wallet and lists Deposit Wallet, legacy Proxy Wallet, and Safe Wallet types. It states that Deposit Wallet is the default for account wallets deployed on or after May 4, 2026. Deposit Wallet owners can grant a separate signer scoped, time-limited trading access through session keys. Confirm the account’s wallet type and current session-key support before choosing an SDK flow.
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Protect private keys, API secrets, passphrases, and signing material with managed secret storage and narrow service permissions. Do not put them in source control, logs, client-side code, or a broadly accessible worker environment. An example that reads a private key from an environment variable is not, by itself, a production secret-management design.
Choose an order type for the execution goal
| Order choice | What it prioritizes | Behavior and constraints |
|---|---|---|
| Market order | Immediate access to available liquidity | Trades against available liquidity at variable prices. The official walkthrough says any unfilled amount is canceled. |
| Limit order | Price control | Sets a price and may rest on the book. Validate current tick size, minimum order size, and any expiration requirements. |
| GTC limit | Leaving an order open without a specified expiry | Remains until filled or canceled. |
| GTD limit | Having an order expire at a chosen time | Expires at the specified time, subject to the documented safety threshold and minimum stated expiration. |
Use a market order only when variable fill price and cancellation of the residual fit the strategy. Use a limit order when price control matters more than immediacy. These choices do not remove market-specific tick, size, or expiration rules; validate those rules against current metadata before submission.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Model execution as a state machine, then reconcile
An accepted or acknowledged request is not proof that a position is settled. The official walkthrough treats trade settlement as asynchronous and waits before checking the position. Track at least the submitted request and returned order ID, then process the order and trade events exposed by current responses and authenticated streams. Account for live, matched, delayed, partially filled, rejected, and canceled states where applicable.
- Create an internal order intent with a unique identifier and persist it before submission.
- Validate the latest market state and risk checks, then submit the order through the authenticated path.
- Record the returned order ID and update the intent from authenticated order and trade events.
- Periodically reconcile open orders, trades, and positions using authenticated account reads.
- Wait for settlement before treating a matched trade as a settled position.
Use explicit cancel-and-replace handling. If a request times out, reconcile before retrying: networked submission and asynchronous settlement do not establish that retrying is safe or idempotent, and a duplicate order could create unintended exposure.
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Include fees and incentives in the economics
Polymarket documents the trading-fee formula as fee = C × feeRate × p × (1 − p), where C is share quantity and p is share price. The listed trading fee is charged to takers; makers are not charged that fee. Fee parameters vary by category, and the documentation directs developers to market details for the applicable parameters. Verify the live market rather than hard-coding a fee table as permanent truth.
The fee documentation accessed in 2026 showed these protocol fee-rate settings. They are settings, not performance statistics, and may change:
| Category | Documented taker feeRate |
|---|---|
| Crypto | 0.07 |
| Sports | 0.05 |
| Finance, politics, mentions, and tech | 0.04 |
| Economics, culture, weather, and other/general | 0.05 |
| Geopolitics | 0 |
For a market-making strategy, compare expected net spread after fees with book depth, fill probability, adverse selection, inventory risk, and current rebate or reward eligibility. Polymarket describes maker rebates and liquidity rewards as separate programs with distinct qualification and payment rules; do not count them as guaranteed strategy income.
Verify the collateral and resolution details for the market
Documentation examples do not support assuming one collateral or payout description applies universally: the quickstart describes an example balance in pUSD, while the FAQ says correct final outcome shares are paid one USDC each. Check the live market’s collateral asset and current resolution and payout mechanics before encoding assumptions about post-resolution value.
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