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2011issue C1176

A futures liquidity filter for equal-dollar execution

A historical execution workflow ranks listed futures by how readily an equal-dollar order can be filled. It builds that rank from an equal-dollar lot count, open interest, and a volume factor, and it treats thinly marked books as less suitable for speculative execution.

  • An equal-dollar lot count multiplies tick dollar value by the largest three-year price excursion so each listed futures market is scaled to a comparable profit unit.
  • Relative contract liquidity multiplies that lot count by total open interest and a volume factor, usually between 1 and 4, and places easier books above harder ones.
  • Markets marked with one activity dot or none are treated as thinly traded and less suitable for speculative execution.
  • Effective percent margin and the other comparison columns are proportional statistics and are meaningful only against other markets in the same column.
Entries in this reading3 entries

A pre-trade screen for executable books

This archive workflow applies futures contract selection only after a liquidity filter has ranked listed markets by how executable they are. The filter is a pre-trade screen that keeps only contracts whose activity, depth, and implementation cost support an executable order over the life of that order.

Open interest analysis supplies the stock of outstanding futures as a size input when judging how readily a contract can be entered and exited. That stock is read together with a volume factor and an equal-dollar lot count, not as a stand-alone reason to hold one market over another.

Scale each market with an equal-dollar lot count

An equal-dollar overlay multiplies contract value by the largest price change seen in the prior three years so each listed market is scaled to a comparable profit unit. That largest move is the three-year price excursion: the largest price move observed in a trailing three-year window, used to put different contracts on an equal-dollar footing.

The equal-dollar lot count equals tick dollar value times the three-year maximum price excursion. It states how many contracts of one futures market are required to match another market's three-year dollar price swing.

Rank relative contract liquidity

Relative contract liquidity is defined as the equal-dollar lot count times total open interest times a volume factor. A futures liquidity rank can also be formed by multiplying point value, a three-year extreme price move, open interest, and a volume scalar usually set between 1 and 4.

The volume factor is an activity scalar, typically between 1 and 4, that adjusts a liquidity rank for unusually thin or extremely heavy volume. In the archive construction, the volume factor is the greater of 1 and the exponential of the natural log of volume divided by the natural log of 5000, minus 2.

The ranking places contracts that are easier to buy and sell above those that are harder to transact. It is a cross-market rank of how easily a futures book can be traded, built from the equal-dollar lot count, open interest, and the volume adjustment.

Read thin marks and other columns in place

Markets marked with one activity dot or none are treated as thinly traded and therefore less suitable for speculative execution.

Each column in the comparison is a proportional statistic and is meaningful only against other markets in the same column. Effective percent margin is one of those columns: posted margin in dollars divided by the contract's three-year dollar range, then multiplied by 100, so margin use can be compared across markets.

For listed shares, period volume divided by shares outstanding is presented as a turnover-rate proxy for trading liquidity.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
14 of 51 in the Futures contract selection track
201273-73 pp.Next on Futures contract selectionRanking futures liquidity before choosing a contractA liquidity filter ranks whether a futures contract is executable from order-book activity, open interest, recent range, and margin cost over the life of the order.
All readings on this track · 51 readings
  1. 2002Single-stock futures and the sleeve that belongs on the ticket
  2. 2007Ethanol futures liquidity lagged the policy boom
  3. 2010Relative liquidity ranking for futures contract selection
  4. 2010A liquidity filter for executable futures contract selection
  5. 2010Screening futures by liquidity, open interest, and equal-dollar size
  6. 2010Ranking futures liquidity for executable contract choice
  7. 2010Liquidity and open interest screens for futures selection
  8. 2010Ranking futures by open interest and equal-dollar liquidity
  9. 2011Liquidity filter for futures contract selection
  10. 2011Futures liquidity rank as an execution filter
  11. 2011Silver contract-selection by size, hours, and carry
  12. 2011Filtering futures by liquidity, open interest and equal-dollar size
  13. 2011Liquidity and open interest as a screen for futures selection
  14. 2011A futures liquidity filter for equal-dollar execution
  15. 2012Ranking futures liquidity before choosing a contract
  16. 2013Liquidity-first futures contract selection
  17. 2013Equal-dollar liquidity filter for futures contract choice
  18. 2013Futures liquidity filters for executable contract selection
  19. 2013Filter listed futures by liquidity and open interest first
  20. 2013Ranking listed futures by liquidity and equal-dollar size
  21. 2013A pre-trade liquidity filter for futures contract selection
  22. 2014Why commodity futures are trades, not long-horizon holdings
  23. 2014Rank futures liquidity before selecting the contract
  24. 2014Filter futures by equal-dollar liquidity and open interest
  25. 2015Filter futures contracts by liquidity and open interest
  26. 2015A two-stage liquidity filter for futures contract selection
  27. 2015Screen futures contracts by liquidity and open interest
  28. 2015Equal-dollar futures choice as a liquidity filter
  29. 2016Evaluate futures liquidity before contract selection
  30. 2016Ranking futures liquidity before you pick the contract
  31. 2016Filter listed futures by relative liquidity and open interest
  32. 2017Evaluating futures liquidity for executable contract selection
  33. 2017A relative liquidity rank for choosing an executable futures contract
  34. 2017Constructing a futures liquidity filter for contract selection
  35. 2017Filter futures by liquidity, open interest, and equal-dollar size
  36. 2017Rank futures liquidity before contract selection
  37. 2017Build a futures liquidity filter from open interest
  38. 2018Evaluating futures liquidity for executable contract choice
  39. 2018Volume-confirmed pivots versus unregulated spot exposure
  40. 2018Executable futures selection from a 2018 liquidity board
  41. 2018Evaluate futures liquidity before contract selection
  42. 2018Open-interest liquidity filter for futures contract selection
  43. 2018Construct a futures liquidity filter from open interest and range
  44. 2018Ranking futures by liquidity, open interest, and equal-dollar cost
  45. 2019Ranking futures liquidity before contract selection
  46. 2019Ranking futures liquidity before you pick a contract
  47. 2019Screening futures by equal-dollar liquidity
  48. 2020Building an equal-dollar futures liquidity screen
  49. 2020Use liquidity and open interest as a futures execution screen
  50. 2020Compact index futures as diversified contract selection
  51. 2020Filter futures by range-scaled liquidity and open interest
All 51 readings tagged Futures contract selection
Also on Futures contract selection5 readings