2017issue C1058
Rank futures liquidity before contract selection
Editorial view: rank listed futures by relative contract liquidity, open interest, and effective percent margin before comparing directional setups, so only contracts that can absorb size reach the shortlist.
- A futures liquidity score multiplies contract point value, three-year maximum price motion, open interest, and a volume factor usually set between 1 and 4.
- Relative liquidity ranking treats contracts with one or no activity marks as thinly traded and harder to execute.
- Equal-dollar contract count puts every market on the same dollar-opportunity scale, while effective percent margin compares posted dollar margin with each contract’s three-year dollar price range.
- Each liquidity and margin column is a proportional comparison that is meaningful only against other contracts in the same column.
Start with an execution screen
TradersWeek editorial reading: treat futures-market choice as an execution screen first. Convert open interest, a volume-adjusted liquidity score, and margin stretch into a shortlist of contracts that can absorb size. Compare directional setups only after that filter.
The archive workflow scores how readily a futures market can be bought or sold, then uses outstanding contracts as a capacity check so a chosen futures month is sized to the book rather than to a chart pattern alone.
Build a relative liquidity score
A futures liquidity score multiplies contract point value, three-year maximum price motion, open interest, and a volume factor usually set between 1 and 4. That volume adjustment factor down-weights very thin or extremely heavy volume when scoring how executable a contract is.
Equal-dollar contract count equals tick dollar value times the three-year maximum price excursion. Every entry on that scale represents the same dollar opportunity. It is the number of contracts of one market needed to match another market’s three-year maximum dollar price excursion.
Relative contract liquidity is the descending score used to rank that executability. It equals the equal-dollar contract count times total open interest times a volume factor equal to the greater of 1 or the exponential of the natural log of volume divided by the natural log of 5000, minus 2.
Treat thin books as harder to execute
Relative liquidity is ranked so that contracts with one or no activity marks are treated as thinly traded and harder to execute. An open interest filter uses outstanding contracts as a capacity check, so the chosen month is sized to the book rather than to a chart pattern alone.
Compare margin stretch on the same scale
Effective percent margin equals dollar margin divided by the contract’s three-year dollar price range, then multiplied by one hundred. Posted dollar margin is thereby expressed so margin stretch can be compared across markets.
In the 2017 listing, the September S&P 500 E-mini needed two contracts for equal-dollar profit, showed a 3.8 percent margin and a 14.3 effective percent margin, and ranked first on relative liquidity.
Each liquidity and margin column is a proportional comparison that is meaningful only against other contracts in the same column.
A related share-market proxy
For listed shares, period volume as a percentage of shares outstanding is presented as a turnover-rate proxy for trading liquidity.
Futures margin stretch by liquidity rank, October 2017

Relative contract liquidity is printed in the source as a dot bar (contracts-to-trade times open interest times a volume factor) and is not a numeric column, so it is used only as sort order. Equal-dollar-profit weights use each contract’s three-year maximum price excursion.
All readings on this track · 51 readings
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- 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
- 2015Filter futures contracts by liquidity and open interest
- 2015A two-stage liquidity filter for futures contract selection
- 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
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- 2017Constructing a futures liquidity filter for contract selection
- 2017Filter futures by liquidity, open interest, and equal-dollar size
- 2017Rank futures liquidity before contract selection
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- 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