2018issue C0958
Construct a futures liquidity filter from open interest and range
A relative futures-liquidity score is built by multiplying contract point value, a three-year maximum price excursion, open interest, and a volume adjustment. Posted margin is then scaled to the same three-year dollar range so a listing can be compared for executability and capital intensity.
- An equal-dollar contract count multiplies contract value by the largest price change over the prior three years so different listings sit on a comparable dollar-excursion basis.
- Relative contract liquidity multiplies that count by total open interest and a volume factor, and is meaningful only as a comparison within the same ranking column.
- A volume factor, usually in the range of 1 to 4, down-weights contracts with little trading activity so thin books rank as harder places to buy and sell.
- Posted percent margin and effective percent margin can order the same listing differently, so capital lock-up is read against the three-year dollar range rather than against notional size alone.
Build a comparable liquidity score
A liquidity filter is a pre-trade screen that ranks listed futures by how readily a comparable dollar position can be entered and exited. It uses range, open interest, and volume rather than headline activity alone.
A relative futures-liquidity score can be constructed by multiplying contract point value, a three-year maximum price excursion, open interest, and a volume adjustment.
Equalize contracts by three-year dollar range
An equal-dollar contract count is the number of contracts of one market needed to match another market's potential dollar excursion. It is obtained by multiplying contract value by the largest price change observed over the prior three years, putting different listings on a comparable dollar-excursion basis.
Weight that size by open interest and volume
Relative contract liquidity is that equal-dollar contract count times total open interest times the volume factor. The result is a cross-market score and is meaningful only as a comparison within the same column.
Open-interest weight is the outstanding position stock used as a size term in the liquidity score. A market with a large book of existing contracts ranks as easier to trade than a market with the same range but few open positions.
The volume factor leaves busy markets near a floor of one and down-weights thinner books. The construction usually applies a volume factor in the range of 1 to 4 so contracts with little trading activity are down-weighted. The volume factor is the greater of 1 and the exponential of the natural log of volume divided by the natural log of 5000, minus 2.
Under this ranking, contracts with little or no activity are treated as harder to buy and sell and therefore less suitable as an execution venue for speculative orders.
Compare posted margin with range-scaled margin
Effective percent margin is posted margin dollars divided by the three-year dollar range of the contract, then multiplied by one hundred. Capital lock-up is compared to historical range instead of to notional size alone.
Posted percent margin and effective percent margin can order the same listing differently. In the 2018 snapshot a two-year note shows 0.2 versus 6.2, while a bitcoin futures listing shows 41.5 versus 25.5.
Choose a contract after the screen
In the 2018 ranking produced by this method, equity-index and Treasury listings occupy the most liquid ranks, while several agricultural, currency, and metal listings sit near the bottom of the same list.
Futures contract selection is choosing which listed expiry and product to trade after the liquidity screen and the two margin ratios have placed that contract in a comparable, regime-aware set. Every futures listing is not treated as interchangeable.
Posted and range-scaled margin by futures contract

Effective percent margin is posted dollar margin divided by the contract's three-year dollar price range, times 100. Board snapshot is the September 2018 listings; relative-liquidity dots were not converted to a numeric series.
All readings on this track · 51 readings
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- 2018Construct a futures liquidity filter from open interest and range
- 2018Ranking futures by liquidity, open interest, and equal-dollar cost
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- 2019Ranking futures liquidity before you pick a contract
- 2019Screening futures by equal-dollar liquidity
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- 2020Filter futures by range-scaled liquidity and open interest