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A Polymarket momentum bot does not get a stake size from the platform or from a universal momentum formula. Its strategy sets a risk budget; its order logic then turns that budget into outcome-token shares and checks whether the market’s live price grid, minimum size, liquidity and fees allow the order to be placed as intended.
What determines how much a momentum bot bets?
There are two separate decisions: how much capital the strategy is willing to risk, and how much of that budget can be converted into an executable order. Polymarket’s documentation describes the trading mechanics, not a canonical momentum signal-to-size formula. A momentum signal may indicate a direction or opportunity, but it does not, by itself, establish a stake.
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- Risk budget: The bot author chooses a sizing rule using inputs such as bankroll, estimated edge and uncertainty, existing positions, and configured exposure limits.
- Order conversion: The execution logic converts the chosen dollar budget into shares at an intended price, then checks the actual order book, market constraints and applicable fees.
The exact formula and configuration of a particular live Polymarket momentum bot are not established by the platform documentation. A public third-party bot repository documents one author’s use of fractional Kelly and portfolio exposure caps; that is an implementation example, not a Polymarket requirement or evidence of profitability.
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For a simple limit buy, the first-pass calculation is:
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Shares ≈ dollar stake ÷ limit price
For example, Polymarket’s order documentation illustrates a limit buy of 10 shares at $0.52 per share. The order corresponds to $5.20 before any applicable taker fee. The requested quantity and price must still satisfy the particular market’s minimum share size and tick-size increment.
That arithmetic is a starting point, not a guarantee of the eventual position. A limit order may rest without filling or may fill only in part. A marketable order consumes resting liquidity at available prices, so the completed quantity and total cost can differ from the bot’s initial estimate.
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Which sizing rule can set the risk budget?
Two common design choices are fixed-fraction sizing and Kelly-style sizing. The comparison below describes their inputs and trade-offs; the cited materials do not provide a controlled performance comparison between them.
| Approach | What it uses | How it scales | Main consideration |
|---|---|---|---|
| Fixed fraction | A configured fraction of bankroll, with any separate exposure limits the author adds. | The budget changes as the bankroll changes if the fraction is applied to current bankroll. | It does not inherently require a probability estimate, but the chosen fraction is still a strategy decision and does not account for market depth or fees by itself. |
| Kelly-style sizing | An estimated probability or edge and the payoff implied by the entry price. | The theoretical fraction depends on those estimates; fractional Kelly scales that fraction down. | Its result depends on the quality of the probability estimate. Exposure caps, uncertainty controls and execution checks remain separate bot-design decisions. |
The third-party repository’s fractional-Kelly method and configurable portfolio caps are that project’s choices. They should not be read as platform rules, recommended universal settings, or proof that the approach earns returns.
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How do price, depth and fees change the order?
Use the executable side of the market
A buyer pays the ask; a seller receives the bid. The displayed midpoint is not necessarily available for either transaction. Polymarket’s Prices & Orderbook documentation states: “Polymarket’s orderbook has no trading size limits — it matches willing buyers and sellers of any amount. However, large orders may move the price significantly. Always check orderbook depth before trading in size.” In practice, order construction still has to respect the market’s minimum size and tick increment.
Check depth and likely price impact
The order book shows resting bids and asks. A bot sizing against only the best displayed price can overestimate how many shares are available at that price. Before submitting a larger order, its execution logic should inspect depth and estimate the cost of consuming liquidity across price levels. The size that can trade near the intended price may be smaller than the strategy’s risk budget would otherwise allow.
Apply the live minimum and tick size
Minimum order size and tick size are market-specific constraints that should be obtained from the market or order response rather than hard-coded as universal constants. Polymarket Institute’s July 24, 2026 guide shows an example market record with a 5-share minimum and a 0.01 tick size. Those are values in that example, not platform-wide limits. Polymarket’s order documentation likewise treats these as constraints provided for the market; a price off the current tick grid can be rejected.
Include applicable fees in net cost
Polymarket’s Fees page gives the taker-fee formula as fee = C × feeRate × p × (1 − p), where C is the number of shares traded and p is the share price. The page says takers pay fees and makers do not; fee parameters vary by market category. The category-specific taker rates listed on the official page were accessed October 5, 2026. A bot should check the current fee parameters for the market and include any applicable fee in its net-cost estimate rather than assume one universal rate.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should the order logic check before submitting?
- Set the risk budget. Apply the chosen sizing method to bankroll and estimated edge or probability where relevant, taking uncertainty and existing exposure into account.
- Apply portfolio controls. Check configured per-market, correlated-event, total-exposure or drawdown caps. These are bot-design controls; Polymarket does not prescribe numerical caps.
- Choose an executable price and convert to shares. Use the intended order price and the simple shares-to-budget calculation as an initial estimate, not the midpoint by default.
- Read current market constraints and fees. Verify the market’s minimum size, tick increment and applicable fee settings before constructing the order.
- Inspect the book and adjust for depth. Estimate whether the intended size can trade near the selected price without unacceptable price impact.
- Track fills and remaining exposure. Account for partial fills and outstanding orders so the bot does not treat an unfilled intention as a completed position or unintentionally exceed its risk limits.
For integration, Polymarket Institute’s July 24, 2026 guide distinguishes the decentralized and US platforms, which have separate APIs. Its discussion of the decentralized platform describes Gamma for discovering market data and CLOB data for pricing and execution. Confirm the applicable platform and current API documentation before implementing those data paths.
What the available figures do—and do not—show
The 5-share minimum and 0.01 tick size are example-market values in Polymarket Institute’s 2026 guide, not global constants. The category-specific fee schedule is operational information, not a universal rate. The reviewed sources provide no verified win rate, profitability figure or other performance statistic for a Polymarket momentum bot. They support explaining how a bot can budget risk and translate that budget into an order, but not claiming that a particular sizing formula or public repository has been validated.
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