2020issue C0558
A futures liquidity board as a pre-trade execution filter
A historical cross-market futures board ranks listings by contract scale, open interest, and volume so a classroom order is chosen for executability and implementation cost, not for the headline market.
- Assemble relative contract liquidity from contract scale, a three-year price range, open interest, and a volume factor before a futures listing is chosen.
- Put every market on the same dollar scale with an equal-dollar contract count so intended size can be compared across books.
- Posted margin and effective percent margin do not rank markets the same way the liquidity board does.
- Keep only listings whose ranking, open interest, and volume can support the intended order, and read each column only against other entries in that column.
A board before the order
The archive facts describe a historical workflow for ranking listed futures by how readily a book can absorb trades. TradersWeek editorial reading treats that board as a classroom case: every contract idea is run through open interest, volume, and equal-dollar size checks before an order is chosen.
That screen is a liquidity filter. It keeps only markets whose ranking, open interest, and volume can support the intended order size, so the listing is selected for executability and implementation cost rather than for the headline market.
How the ranking is assembled
A futures liquidity ranking can be assembled by multiplying contract point value, a three-year maximum price move, open interest, and a volume adjustment that is usually between 1 and 4. The product is relative contract liquidity: a comparative ranking of how readily a listed futures book can absorb trades.
The same ranking can also be written as the equal-dollar contract count times total open interest times a volume factor. The volume factor is the greater of 1 or an exponential transform of volume against a 5,000-contract baseline. It typically stays between 1 and 4, so unusually thin or unusually heavy traded volume adjusts the rank.
The equal-dollar contract count is the contracts-to-trade figure. It is formed by multiplying contract value by the largest price change observed over three years, so each count sits on the same dollar scale and one listing can be compared with another.
Relative contract liquidity can be shown as a descending mark count. One mark or none indicates comparatively little activity versus the densest listings.
Margin is a separate column
Effective percent margin equals dollar margin divided by the three-year range of contract dollar value, then multiplied by one hundred. It is posted dollar margin expressed as a percentage of the contract’s three-year dollar price range. It is not a substitute for the liquidity ranking.
What the May 2020 listing showed
In the May 2020 listing, the June S&P 500 E-mini showed a 10.8 percent margin, a 28 effective percent margin, and an equal-dollar count of 2, and it occupied the top relative-liquidity rank.
In that same listing, posted percent margin ranged from 0.2 on short-rate futures to 35.1 on gasoline. Margin height did not order markets the same way the liquidity ranking did.
May 2020 futures: lots needed for equal dollar profit

The source multiplies contract value by the largest three-year price change so every row has the same dollar profit. Relative-liquidity dots are a rank display, not a numeric series, and are not plotted.
What the columns do not mix
For listed shares, period volume as a percentage of shares outstanding is presented as share turnover, a turnover-rate proxy for trading liquidity. That figure is separate from the futures ranking and is not used to order the futures board.
Three checks on an executable order
Editorial application of the board uses three checks together. Open interest is the stock of outstanding futures positions and serves as a capacity input when ranking how easily a book can be traded. The volume factor confirms whether traded volume is thin or heavy relative to the 5,000-contract baseline. Contracts to trade places intended size on the same three-year dollar-range scale as every other listing.
Together those inputs decide whether the book can support the order and what implementation cost that choice implies. They do not grade a headline market in isolation.
All readings on this track · 40 readings
- 1988Constructing volume-confirmation overlays on OHLC spreadsheet charts
- 1989Commodity advance-decline from delivery months
- 1989The most-active list as a three-layer breadth lab
- 1989Constructing a yield-curve volume-breadth composite
- 1989A bond-futures case study in support, volume, and confirmation
- 1989Volume-scaled price boxes and volume cycles
- 1990Futures-signed on-balance volume construction
- 1990Self-relative volume boxes for news-free breakouts
- 1990Broadening swings, demand tests, and volume filters
- 1991A same-session pressure test of breadth and volume share
- 1991Tick extremes that confirm double tops and bottoms
- 1991Constructing auction fuel from volume and open interest
- 1994Constructing On-balance volume with smoothing and timeframe confirmation
- 1996A volume-gated moving-average trend combination
- 1996Constructing four-state range-volume bars
- 1997Failed trade review of a descending-triangle breakdown
- 1997Construct a head-and-shoulders before the neckline break
- 2004Volume confirmation is not optional for a head-and-shoulders reversal
- 2007Constructing a three-factor volume-price confirmation filter
- 2007Constructing a three-condition moving-average entry with a volume filter
- 2008Breakout rules that wait for volume and liquidity
- 2011Screen futures liquidity with open interest and volume
- 2011Filter executable futures with liquidity and open interest
- 2012Rank listed futures by liquidity before a forecast chooses the name
- 2012Filter futures liquidity using open interest and volume
- 2013Pre-trade futures liquidity as an execution filter
- 2014A futures liquidity screen from range, open interest and volume
- 2014Evaluating futures contract liquidity before execution
- 2014Constructing defended price lines from volume clusters
- 2014Filter futures by equal-dollar size, open interest, and volume
- 2015Filter futures ideas by ranked contract liquidity
- 2017Screen listed futures for execution liquidity first
- 2017Filter futures orders by liquidity, open interest, and volume
- 2018Using open interest and volume to rank futures liquidity
- 2018Score listed futures as an execution menu before the setup
- 2019Filtering futures orders with liquidity, open interest and volume
- 2019Futures liquidity as an execution filter
- 2020A futures liquidity board as a pre-trade execution filter
- 2020Sequenced volume and golden-cross breakout rules
- 2020Use a listed-futures liquidity filter before execution