Skip to main content
Track Volume confirmation
23 / 40
Library

2011issue C0677

Filter executable futures with liquidity and open interest

A futures chart is not a trade until the contract passes a tradability exam. Rank markets by how easily size can be transacted, confirm that rank with open interest and a volume factor, then compare only same-column figures for equal-dollar size and effective percent margin so implementation cost is priced before any setup reaches the order pad.

  • Treat a futures chart as a candidate only after a liquidity filter ranks how readily size can be bought or sold.
  • Confirm the rank with open interest analysis so the score reflects the stock of outstanding contracts, not only one session of prints.
  • Apply volume confirmation so unusually quiet or unusually heavy trading does not distort relative contract liquidity.
  • Read equal-dollar contract counts and effective percent margin only against other entries in the same column before any setup reaches the order pad.
Entries in this reading3 entries

A pre-ticket tradability exam

Editorial view: a futures chart is not a trade until the contract passes a tradability exam. The historical workflow treats liquidity as a screen that sits in front of the order pad, so thin markets are set aside before an order is sized.

A liquidity filter is a pre-trade screen that ranks contracts by how readily they can be bought or sold. Implementation cost is priced in that screen before any setup is allowed onto the order pad.

How the liquidity rank is built

A futures liquidity rank can be built by multiplying contract point value by a three-year maximum price-motion estimate, then by open interest, then by a volume factor usually between 1 and 4.

Relative contract liquidity is the comparative score that results. It is built from a contracts-to-trade count, total open interest, and a volume factor, and it is read only against other contracts in the same ranking.

The contracts-to-trade figure equals tick dollar value times the three-year maximum price excursion. Relative contract liquidity equals that contracts-to-trade figure times total open interest times the volume factor.

Open interest and volume confirmation

Open interest analysis uses the stock of outstanding contracts as a scale input so a ranking reflects how much size the market can absorb, not only a single session of prints.

Volume confirmation adjusts the liquidity score with a volume factor so unusually quiet or unusually heavy trading does not distort the ranking. The volume factor is a multiplier, usually between 1 and 4, taken as the greater of 1 and an exponential transform of volume relative to a 5000-contract reference.

In the historical workflow that transform is the greater of 1 and exp of (natural log of volume divided by natural log of 5000, minus 2).

Equal-dollar size and effective percent margin

An equal-dollar contract count, called an equal-dollar-profit contract count in the archive workflow, scales each listed future by contract value times the largest price change observed over the prior three years, so those entries share one dollar unit. It states how many contracts of one market are needed to match the same three-year dollar excursion as another market.

Effective percent margin equals dollar margin divided by the three-year price range of the contract’s dollar value, then multiplied by one hundred. Margin dollars are scaled by that three-year dollar price range and expressed as a percentage so capital lock-up can be compared across markets.

Editorial reading: once contracts share one dollar unit and a common margin language, implementation cost can be compared before a setup is treated as executable.

Posted and effective percent margin in the June 2011 futures liquidity ranking

Each pair of bars is one contract from the June 2011 Technical Analysis of Stocks & Commodities liquidity table, kept in the source’s most-to-least-liquid order. Effective percent margin is the posted dollar margin divided by that contract’s three-year dollar range; compare figures only down the same column. World sugar, US Treasury bonds and the FTSE 100 consume the most margin relative to their three-year range, while Eurodollars, Euribor, short sterling and fed funds sit near the floor.
Each pair of bars is one contract from the June 2011 Technical Analysis of Stocks & Commodities liquidity table, kept in the source’s most-to-least-liquid order. Effective percent margin is the posted dollar margin divided by that contract’s three-year dollar range; compare figures only down the same column. World sugar, US Treasury bonds and the FTSE 100 consume the most margin relative to their three-year range, while Eurodollars, Euribor, short sterling and fed funds sit near the floor.Listed commodity and financial futures · June 2011 monthly ranking

Rows follow the source’s descending relative-liquidity order, not a sort on margin. Relative liquidity itself was printed as a overflowing dot scale and is not recovered as a numeric series. Effective percent margin equals margin dollars divided by the three-year price range of contract dollar value, times 100.

How to read the ranking display

Relative activity on the ranking display is marked by a right-hand dot count. The densest mark identifies the most active contracts. One dot or none identifies little activity.

Equal-dollar contract counts, effective percent margin, and relative contract liquidity are each read only against other entries in the same column.

An equity-market analogue

In equities, period volume expressed as a percentage of shares outstanding is treated as a turnover-rate proxy for trading liquidity. Share turnover is that period volume divided by shares outstanding.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
23 of 40 in the Volume confirmation track
201272-72 pp.Next on Volume confirmationRank listed futures by liquidity before a forecast chooses the nameA liquidity filter ranks listed futures by entry and exit readiness from activity marks, not from a price forecast.
All readings on this track · 40 readings
  1. 1988Constructing volume-confirmation overlays on OHLC spreadsheet charts
  2. 1989Commodity advance-decline from delivery months
  3. 1989The most-active list as a three-layer breadth lab
  4. 1989Constructing a yield-curve volume-breadth composite
  5. 1989A bond-futures case study in support, volume, and confirmation
  6. 1989Volume-scaled price boxes and volume cycles
  7. 1990Futures-signed on-balance volume construction
  8. 1990Self-relative volume boxes for news-free breakouts
  9. 1990Broadening swings, demand tests, and volume filters
  10. 1991A same-session pressure test of breadth and volume share
  11. 1991Tick extremes that confirm double tops and bottoms
  12. 1991Constructing auction fuel from volume and open interest
  13. 1994Constructing On-balance volume with smoothing and timeframe confirmation
  14. 1996A volume-gated moving-average trend combination
  15. 1996Constructing four-state range-volume bars
  16. 1997Failed trade review of a descending-triangle breakdown
  17. 1997Construct a head-and-shoulders before the neckline break
  18. 2004Volume confirmation is not optional for a head-and-shoulders reversal
  19. 2007Constructing a three-factor volume-price confirmation filter
  20. 2007Constructing a three-condition moving-average entry with a volume filter
  21. 2008Breakout rules that wait for volume and liquidity
  22. 2011Screen futures liquidity with open interest and volume
  23. 2011Filter executable futures with liquidity and open interest
  24. 2012Rank listed futures by liquidity before a forecast chooses the name
  25. 2012Filter futures liquidity using open interest and volume
  26. 2013Pre-trade futures liquidity as an execution filter
  27. 2014A futures liquidity screen from range, open interest and volume
  28. 2014Evaluating futures contract liquidity before execution
  29. 2014Constructing defended price lines from volume clusters
  30. 2014Filter futures by equal-dollar size, open interest, and volume
  31. 2015Filter futures ideas by ranked contract liquidity
  32. 2017Screen listed futures for execution liquidity first
  33. 2017Filter futures orders by liquidity, open interest, and volume
  34. 2018Using open interest and volume to rank futures liquidity
  35. 2018Score listed futures as an execution menu before the setup
  36. 2019Filtering futures orders with liquidity, open interest and volume
  37. 2019Futures liquidity as an execution filter
  38. 2020A futures liquidity board as a pre-trade execution filter
  39. 2020Sequenced volume and golden-cross breakout rules
  40. 2020Use a listed-futures liquidity filter before execution
All 54 readings tagged Volume confirmation
Also on Volume confirmation5 readings