2017issue C1158
Build a futures liquidity filter from open interest
A listed-futures liquidity filter scales every contract to the same dollar excursion, then multiplies that equal-dollar contract count by total open interest and a volume factor. Markets are ordered from highest to lowest on that relative liquidity rank.
- Equal-dollar contract count is tick dollar value times the three-year maximum price excursion, so each listed future is scaled to the same dollar size.
- Relative liquidity rank multiplies that count by total open interest and a volume factor, then orders markets from highest to lowest.
- Thinner open interest lowers the score even when the historical dollar range is large, and names with one activity unit or none are classified as weaker execution candidates.
- Effective percent margin compares dollar margin with the three-year range of contract dollar value only after those ranks have been lined up across the board.
A liquidity filter is a pre-trade screen that ranks listed futures by how readily an equal-dollar size can be absorbed. It uses historical range, open interest, and volume rather than a price pattern.
The relative liquidity rank is a descending cross-sectional score equal to equal-dollar contract count times open interest times a volume factor.
Scale every contract to equal dollars
The equal-dollar contract count is tick dollar value multiplied by the three-year maximum price excursion. It measures how many contracts of one listed future are required to match another future's three-year dollar price excursion.
Build the relative liquidity rank
A relative liquidity score for listed futures is formed by multiplying the equal-dollar contract count by total open interest and by a volume factor, then ordering markets from highest to lowest.
The same ranking is also described as contract point value times a three-year maximum price move times open interest times a volume adjustment that commonly ranges from 1 to 4.
Read open interest as thickness
Open interest analysis reads the outstanding contract stock as a thickness input. Thinner open interest lowers the relative liquidity score even when the historical dollar range is large.
Apply a volume factor
The volume factor used in that score is the greater of 1 and exp(ln(volume) / ln(5000) - 2). It is a multiplier equal to the greater of 1 and an exponential of logged volume versus a 5000-contract reference, used to adjust very quiet or very active markets.
Equal-dollar futures contract counts, November 2017

Equal-dollar count equals tick dollar value times the three-year maximum price excursion. The published rank order multiplies that count by open interest and a volume factor (the greater of 1 or exp(ln volume / ln 5000) − 2); this series is the scaling input, not the final liquidity score.
Read each column only against its peers
Each numeric column is a proportional measure that is meaningful only when compared with other contracts in that same column.
Flag contracts with little activity
Contracts marked with one activity unit or none are classified as having little activity and therefore as weaker candidates for speculative execution.
Compare margin intensity across the board
Effective percent margin is dollar margin divided by the three-year range of contract dollar value, then multiplied by 100. Expressed as a percent, it lets capital lock-up be compared across products.
Futures contract selection chooses which listed product and expiry to trade only after the equal-dollar liquidity rank and margin-intensity measures have been compared across the board.
A stock-market analogue
For listed stocks, trading activity is treated as a liquidity proxy equal to period volume expressed as a percentage of shares outstanding. That share turnover is used as a stock-market analogue of trading liquidity.
All readings on this track · 51 readings
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- 2010Ranking futures liquidity for executable contract choice
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- 2012Ranking futures liquidity before choosing a contract
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- 2013Futures liquidity filters for executable contract selection
- 2013Filter listed futures by liquidity and open interest first
- 2013Ranking listed futures by liquidity and equal-dollar size
- 2013A pre-trade liquidity filter for futures contract selection
- 2014Why commodity futures are trades, not long-horizon holdings
- 2014Rank futures liquidity before selecting the contract
- 2014Filter futures by equal-dollar liquidity and open interest
- 2015Filter futures contracts by liquidity and open interest
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- 2015Screen futures contracts by liquidity and open interest
- 2015Equal-dollar futures choice as a liquidity filter
- 2016Evaluate futures liquidity before contract selection
- 2016Ranking futures liquidity before you pick the contract
- 2016Filter listed futures by relative liquidity and open interest
- 2017Evaluating futures liquidity for executable contract selection
- 2017A relative liquidity rank for choosing an executable futures contract
- 2017Constructing a futures liquidity filter for contract selection
- 2017Filter futures by liquidity, open interest, and equal-dollar size
- 2017Rank futures liquidity before contract selection
- 2017Build a futures liquidity filter from open interest
- 2018Evaluating futures liquidity for executable contract choice
- 2018Volume-confirmed pivots versus unregulated spot exposure
- 2018Executable futures selection from a 2018 liquidity board
- 2018Evaluate futures liquidity before contract selection
- 2018Open-interest liquidity filter for futures contract selection
- 2018Construct a futures liquidity filter from open interest and range
- 2018Ranking futures by liquidity, open interest, and equal-dollar cost
- 2019Ranking futures liquidity before contract selection
- 2019Ranking futures liquidity before you pick a contract
- 2019Screening futures by equal-dollar liquidity
- 2020Building an equal-dollar futures liquidity screen
- 2020Use liquidity and open interest as a futures execution screen
- 2020Compact index futures as diversified contract selection
- 2020Filter futures by range-scaled liquidity and open interest