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2017issue C0858

Filter futures orders by liquidity, open interest, and volume

A listed-futures liquidity filter ranks how readily a position can be opened and closed. Open interest and volume confirmation then keep the rank from treating a large contract or a wide historical range as executable when the session is thin.

  • A liquidity filter ranks listed markets by activity, outstanding size, and range-adjusted contract value rather than by a directional thesis.
  • Open interest analysis treats outstanding contract count as a capacity multiplier, so a market with more open positions ranks as easier to enter and exit than an otherwise similar listing.
  • Volume confirmation scales the rank by recent trading activity so a wide historical range or large contract value cannot produce a high rank when the session is thin.
  • Relative contract liquidity and the other ranking columns are proportional comparisons only. Sparse activity marks correspond to little trading activity and a lower rank than dense marks.
Entries in this reading3 entries

What the pre-trade screen measures

A liquidity filter is a pre-trade screen that ranks listed markets by how readily a position can be opened and closed. It uses activity, outstanding size, and range-adjusted contract value rather than a directional thesis.

Open interest analysis reads outstanding contract count as a capacity multiplier so a market with more open positions ranks as easier to enter and exit than an otherwise similar listing. Volume confirmation then scales a liquidity rank by recent trading activity so a wide historical range or large contract value cannot produce a high rank when the session is thin.

How the liquidity rank is assembled

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

The same relative contract liquidity score can be written as the equal-dollar contract count times total open interest times a volume factor. Relative contract liquidity is a comparative score of how easily the full set of contracts in one futures market can be bought or sold versus other listed markets in the same table.

The equal-dollar contract count equals tick dollar value times the three-year maximum price excursion, so every entry in that column shares one dollar scale. It states how many contracts of one listing must be traded so that the three-year dollar price excursion matches that of another listing.

Volume confirmation

The volume factor is the greater of 1 and an exponential of the natural log of volume divided by the natural log of 5000, minus 2. Used as volume confirmation, that factor keeps a thin session from inheriting a high rank from contract size or historical range alone.

Margin, range, and the equity analogue

Effective percent margin equals margin dollars divided by the three-year dollar range of the contract, then multiplied by one hundred. It compares capital locked per unit of historical range.

For equities, period volume as a percentage of shares outstanding is presented as a turnover-rate proxy for trading liquidity. That share turnover figure is an equity proxy for how readily a security can be traded, not a substitute for the futures rank.

How to read the columns

Each liquidity column is a proportional comparison only. Sparse activity marks correspond to little trading activity and a lower rank than dense marks.

Contracts needed for equal dollar profit, August 2017 futures

How many contracts of each listed future it takes to match the same three-year dollar-profit potential. The source table ranks markets by relative liquidity; this series is the numeric column traders use to size one market against another, not the unreadable dot bar. Read from the Trading Liquidity: Futures table in the August 2017 Stocks & Commodities excerpt.
How many contracts of each listed future it takes to match the same three-year dollar-profit potential. The source table ranks markets by relative liquidity; this series is the numeric column traders use to size one market against another, not the unreadable dot bar. Read from the Trading Liquidity: Futures table in the August 2017 Stocks & Commodities excerpt.Listed commodity and financial futures · August 2017 listing (front-month contracts as published) · 2014-01-01T00:00:00.000Z to 2017-12-31T00:00:00.000Z

Contracts to Trade equals tick dollar value times the three-year maximum price excursion. Relative Contract Liquidity is shown in the source as a descending dot bar and is not a recoverable numeric series.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
33 of 40 in the Volume confirmation track
201858-58 pp.Next on Volume confirmationUsing open interest and volume to rank futures liquidityRelative contract liquidity ranks how readily a listed futures book can be bought and sold from an equal-dollar contract count, total open interest, and a volume factor.
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
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