
Liquidity and Spreads: The Hidden Cost of a Prediction
A market's headline probability leaves out the price, quantity, and timing assumptions that determine what an order could actually receive.
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Market data includes more than the latest displayed percentage. Prices, spreads, depth, timestamps, and the underlying event definition all help determine what an observation can support. These articles connect the collection of data with the interpretation of liquidity.
Read the API workflow to understand how to preserve a research record, then study the liquidity example to see why available prices can differ with order size. Both pieces use explicit assumptions and fictional examples where appropriate. The goal is a dataset that can be checked and a conclusion that does not imply more certainty than the evidence contains.
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A market's headline probability leaves out the price, quantity, and timing assumptions that determine what an order could actually receive.
Read the article
Build a research dataset you can explain: preserve contract rules, distinguish prices, track timestamps, and make missing data visible.
Read the article