2019issue C0658
Ranking futures liquidity before contract selection
A listed-futures liquidity rank can be built from point value, a three-year maximum price motion, open interest, and a volume factor, then read against effective percent margin before a contract is chosen.
- Relative contract liquidity orders listed futures from easiest to hardest to transact using the equal-dollar-profit contract count, total open interest, and a volume factor.
- Open interest is a required multiplier, so outstanding size filters the book along with range and volume.
- Effective percent margin is margin dollars divided by the three-year dollar price range of the contract, then multiplied by one hundred.
- Contracts with one activity mark or none are treated as thinly traded and less suitable for speculative execution.
A liquidity filter before the contract list
The archive workflow treats listed-futures choice as a liquidity filter. That screen ranks listed futures by how easily size can be bought or sold, using activity, volume, and cost inputs over the life of an order.
A listed-futures liquidity rank can be computed from contract point value, a three-year historical maximum price motion, open interest, and a volume adjustment. Markets are then ordered by relative contract liquidity, from easiest to hardest to transact.
How relative contract liquidity is built
Relative contract liquidity is defined as the equal-dollar-profit contract count times total open interest times a volume factor.
The equal-dollar-profit contract count equals tick dollar value times the three-year maximum price excursion, so every market in that column is scaled to the same dollar-profit potential. That figure is the contracts to trade: how many contracts of one market are needed to match another market’s three-year dollar-range profit potential.
The volume factor is a multiplier no lower than one that scales the liquidity rank from observed volume on a 5000-contract log scale. In the archive workflow it is the greater of 1 and the exponential of the natural log of volume divided by the natural log of 5000, minus 2.
Open interest analysis uses outstanding contract size as a filter so relative liquidity reflects how much existing interest can absorb a new order. Open interest is a required multiplier in the relative-liquidity product, so contract selection is filtered by outstanding size as well as by range and volume.
Effective percent margin beside the rank
Effective percent margin is initial margin dollars divided by the three-year dollar price range of the contract, expressed as a percentage. The archive computes it as margin dollars divided by that three-year dollar range, then multiplied by one hundred.
A mid-2019 ranking snapshot
In the mid-2019 snapshot, the June S&P 500 E-Mini led the relative-liquidity ranking, with a 4.7 percent margin, a 14.5 percent effective margin, and two contracts in the equal-dollar-profit column.
Contracts showing one activity mark or none are treated as thinly traded and less suitable for speculative execution.
Posted versus effective percent margin, June 2019 liquidity ranking

Effective percent margin is margin dollars divided by the three-year maximum dollar range of the contract, times 100. The left-to-right order is relative contract liquidity (contracts-to-trade times open interest times a volume factor), not the height of these bars. 30-Day Fed Funds posted margin is printed as 0 in the source table.
From the liquidity screen to contract selection
For listed shares, trading liquidity is proxied by period volume as a percentage of shares outstanding, interpreted as a turnover rate.
Futures contract selection then chooses among listed underlyings and expiries after placing a single trade in a liquidity and margin-efficiency context.
All readings on this track · 51 readings
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- 2010Screening futures by liquidity, open interest, and equal-dollar size
- 2010Ranking futures liquidity for executable contract choice
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- 2013Equal-dollar liquidity filter for futures contract choice
- 2013Futures liquidity filters for executable contract selection
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- 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
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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