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2018issue C0958

Construct a futures liquidity filter from open interest and range

A relative futures-liquidity score is built by multiplying contract point value, a three-year maximum price excursion, open interest, and a volume adjustment. Posted margin is then scaled to the same three-year dollar range so a listing can be compared for executability and capital intensity.

  • An equal-dollar contract count multiplies contract value by the largest price change over the prior three years so different listings sit on a comparable dollar-excursion basis.
  • Relative contract liquidity multiplies that count by total open interest and a volume factor, and is meaningful only as a comparison within the same ranking column.
  • A volume factor, usually in the range of 1 to 4, down-weights contracts with little trading activity so thin books rank as harder places to buy and sell.
  • Posted percent margin and effective percent margin can order the same listing differently, so capital lock-up is read against the three-year dollar range rather than against notional size alone.
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Build a comparable liquidity score

A liquidity filter is a pre-trade screen that ranks listed futures by how readily a comparable dollar position can be entered and exited. It uses range, open interest, and volume rather than headline activity alone.

A relative futures-liquidity score can be constructed by multiplying contract point value, a three-year maximum price excursion, open interest, and a volume adjustment.

Equalize contracts by three-year dollar range

An equal-dollar contract count is the number of contracts of one market needed to match another market's potential dollar excursion. It is obtained by multiplying contract value by the largest price change observed over the prior three years, putting different listings on a comparable dollar-excursion basis.

Weight that size by open interest and volume

Relative contract liquidity is that equal-dollar contract count times total open interest times the volume factor. The result is a cross-market score and is meaningful only as a comparison within the same column.

Open-interest weight is the outstanding position stock used as a size term in the liquidity score. A market with a large book of existing contracts ranks as easier to trade than a market with the same range but few open positions.

The volume factor leaves busy markets near a floor of one and down-weights thinner books. The construction usually applies a volume factor in the range of 1 to 4 so contracts with little trading activity are down-weighted. 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.

Under this ranking, contracts with little or no activity are treated as harder to buy and sell and therefore less suitable as an execution venue for speculative orders.

Compare posted margin with range-scaled margin

Effective percent margin is posted margin dollars divided by the three-year dollar range of the contract, then multiplied by one hundred. Capital lock-up is compared to historical range instead of to notional size alone.

Posted percent margin and effective percent margin can order the same listing differently. In the 2018 snapshot a two-year note shows 0.2 versus 6.2, while a bitcoin futures listing shows 41.5 versus 25.5.

Choose a contract after the screen

In the 2018 ranking produced by this method, equity-index and Treasury listings occupy the most liquid ranks, while several agricultural, currency, and metal listings sit near the bottom of the same list.

Futures contract selection is choosing which listed expiry and product to trade after the liquidity screen and the two margin ratios have placed that contract in a comparable, regime-aware set. Every futures listing is not treated as interchangeable.

Posted and range-scaled margin by futures contract

Posted percent margin understates capital intensity once each listing is scaled to the same three-year dollar range: gold, corn, the Swiss franc and the Mexican peso jump, while Russell 2000 E-mini and Eurodollar stay cheap. Sugar and Bitcoin invert that pattern, already posting more margin than the range-scaled figure. Values come from the September 2018 Stocks & Commodities futures-liquidity table, kept in that table's liquidity order.
Posted percent margin understates capital intensity once each listing is scaled to the same three-year dollar range: gold, corn, the Swiss franc and the Mexican peso jump, while Russell 2000 E-mini and Eurodollar stay cheap. Sugar and Bitcoin invert that pattern, already posting more margin than the range-scaled figure. Values come from the September 2018 Stocks & Commodities futures-liquidity table, kept in that table's liquidity order.U.S. listed commodity and financial futures · September 2018 listings

Effective percent margin is posted dollar margin divided by the contract's three-year dollar price range, times 100. Board snapshot is the September 2018 listings; relative-liquidity dots were not converted to a numeric series.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
43 of 51 in the Futures contract selection track
201858-58 pp.Next on Futures contract selectionRanking futures by liquidity, open interest, and equal-dollar costThe liquidity filter ranked listed futures by how readily size could be transacted, rather than by the attractiveness of a price pattern.
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
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