2015issue C0456
Filter futures contracts by open interest and volume
A liquidity filter ranks listed futures by equal-dollar contract count, total open interest, and a volume factor. Markets at the top of the relative-liquidity list are presented as easier to buy and sell, and markets at the bottom as harder to trade. Effective-percent-margin then places posted margin on the same three-year dollar-range scale.
- A liquidity filter ranks listed futures by how readily size can be bought or sold, using range, volume, and related trading-cost inputs so an order is placed only where implementation is feasible.
- Relative-contract-liquidity multiplies the equal-dollar contract count by total open interest and a volume factor that is at least 1 and otherwise rises from a logarithmic comparison of volume against a 5,000-contract reference.
- Each ranking column is a proportional measure and is meant to be read only against other entries in that same column. Markets at the top of the relative-liquidity list are presented as easier to buy and sell.
- Effective-percent-margin equals margin dollars divided by the three-year dollar range of the contract, then multiplied by 100, so capital lock-up can be compared across products.
Futures selection as an execution decision
Editorial view: treat futures selection as an execution decision before a setup is tradable. Run a liquidity filter that folds open interest, volume, and equal-dollar contract count into one comparability score, then read margin on the same scale so the contract you choose is one you can enter and exit.
In the archive workflow, a liquidity filter is a screen that ranks listed futures by how readily size can be bought or sold. It uses range, volume, and related trading-cost inputs so an order is placed only where implementation is feasible.
How relative-contract-liquidity is built
A futures liquidity ranking can be formed by multiplying contract point value by a three-year maximum price move, by open interest, and by a volume adjustment factor.
The same ranking is also stated as the equal-dollar contract count times total open interest times a volume factor. That product is relative-contract-liquidity, a comparative score that orders futures by ease of trading.
The volume factor is at least 1 and otherwise rises from a logarithmic comparison of volume against a 5,000-contract reference.
The equal-dollar contract count equals tick dollar value times the three-year maximum price excursion, so products can be compared on one potential-range scale. That count is the contracts-to-trade-for-equal-dollar-profit figure: the number of contracts of one futures product needed to match another product on a common three-year dollar range.
Open-interest analysis uses outstanding contract count, together with volume and an equal-dollar sizing factor, to judge how much existing positioning a market can support through the life of an order.
How to read the ranking
Markets at the top of the relative-liquidity list are presented as easier to buy and sell. Markets at the bottom are presented as harder to trade.
Margin on the same three-year scale
Effective percent margin equals margin dollars divided by the three-year dollar range of the contract, then multiplied by 100. Expressed that way, posted margin can be compared across products as capital lock-up on the same range scale.
Editorial view: read effective-percent-margin next to the liquidity rank so the contract you keep is one you can fund as well as enter and exit.
Posted versus effective percent margin, futures ranked by relative liquidity

The source ranks contracts by relative contract liquidity (equal-dollar contract count times open interest times a volume factor). That score is printed only as a ranking, so bar order follows the published list. Effective percent margin is margin dollars divided by the three-year range of contract dollar value, times 100.
A turnover proxy for listed shares
For listed shares, share-turnover is period volume as a percentage of shares outstanding, offered as a turnover-rate proxy for trading liquidity.
All readings on this track · 20 readings
- 1988Wave-count consensus and open-interest confirmation
- 1990Calibrating volume and open interest at support and resistance
- 1997Grading volume and open interest after moving-average crosses
- 2003Constructing an expiration settlement map from listed open interest
- 2010Futures liquidity filter for equal-dollar size and open interest
- 2010Screen futures for tradeable liquidity before sizing
- 2011Screen futures liquidity with open interest and equal dollar size
- 2011Construct a daily initiator filter from lead-contract price, open interest, and volume
- 2012Ranking futures markets by executable liquidity
- 2013Equal-dollar open interest as a futures liquidity filter
- 2013Filter futures by open interest and relative liquidity
- 2015Filter futures contracts by open interest and volume
- 2015Screen listed futures for executable liquidity first
- 2015Money-flow lookback versus aggregated open interest
- 2016Ranking futures by executable liquidity and open interest
- 2018Futures liquidity and open interest as an execution filter
- 2019Evaluate futures liquidity with open interest and equal-dollar filters
- 2019Screen futures contracts by open interest and liquidity
- 2020Filter futures orders by liquidity and open interest
- 2020Ranking futures liquidity before you place the order