Handling Delayed Position Data in Crypto Futures Execution
Summary
The document explains how stale position data from a digital currency exchange can cause a futures strategy to submit duplicate opening orders. Limit orders may fill quickly even while the position interface still reports the earlier position, leading the strategy to misread the fill. The author recounts one episode of rapidly accumulating long exposure and notes that favorable market movement prevented a loss in that instance.
Three responses are discussed: submit one aggressively priced limit order, use a supported market order, or retain limit orders while checking open-order status and pausing when an order disappears but the reported position has not changed. The example implementation recalculates remaining quantity from position changes and waits before retrying when it suspects stale data. The approach is presented as a beta template, and repeated delays may warrant stopping the trading logic. The account is practical guidance, not a controlled evaluation; it gives no measured latency rates or evidence that the proposed checks prevent every duplicate order.
Key ideas
- Stale position responses can make a strategy repeat an opening order after the exchange has already filled it.
- A single aggressively priced limit order can reduce duplicate submissions but may fail to fill during sharp price moves.
- Supported market orders offer another way to avoid relying on delayed position checks for entry confirmation.
- Order disappearance can indicate either a fill or cancellation, so it should be interpreted alongside position data.
- Waiting and retry limits can help manage suspected latency, though they do not guarantee correct execution.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.