2012issue C0972
Rank listed futures by liquidity before a forecast chooses the name
A liquidity filter ranks listed futures by how readily a position can be entered and exited, using activity marks rather than a price forecast. Open interest and a volume factor enter the same score so a thin or idle book cannot pass as executable.
- A liquidity filter ranks listed futures by entry and exit readiness from activity marks, not from a price forecast.
- Open interest is multiplied into the liquidity score so a contract with a thin book cannot rank as executable.
- A volume factor, usually between 1 and 4, confirms that recent trading supports the open-interest reading.
- Percent margin and effective percent margin compare the same posted capital across contracts only after the liquidity ranking is known.
A pre-trade screen, not a forecast
A liquidity filter is a pre-trade screen that ranks listed futures by how readily a position can be entered and exited. It uses activity marks rather than a price forecast. Relative contract liquidity is the equal-dollar contract count multiplied by total open interest multiplied by a volume factor. Names at the top of that list are treated as easier to trade than names at the bottom.
A relative liquidity ranking can be built by multiplying contract point value, the largest price move observed over a three-year lookback, open interest, and a volume adjustment that is usually set between 1 and 4. One activity mark or none is treated as evidence of little trading activity and therefore as a weak liquidity-filter outcome for speculative order flow.
Open interest and volume confirmation
Open-interest analysis reads outstanding positions as a capacity input. Open interest is multiplied into the liquidity score so a contract with a thin book cannot rank as executable.
Volume confirmation applies a volume adjustment to the same ranking so that open interest is not trusted unless recent trading activity supports it. The volume factor is a scalar, usually between 1 and 4. It is the greater of 1 and the exponential of the natural logarithm of volume divided by the natural logarithm of 5000, then reduced by 2.
Implementation-cost controls after the ranking
The number of contracts required for a comparable dollar outcome equals tick dollar value times the three-year maximum price excursion, so every figure in that column shares the same dollar scale. That contracts-to-trade count is the number of contracts of one futures name required to match another name on the same three-year dollar price-range scale.
Effective percent margin is the dollar margin divided by the three-year range of contract dollar value, then multiplied by 100. It is used to compare capital locked per unit of historical range. Percent margin and effective percent margin are supplied so that the same posted capital can be compared across contracts after the liquidity ranking is known.
Share turnover on listed stocks
In listed stocks, period volume divided by shares outstanding is presented as a turnover-rate proxy for trading liquidity. Share turnover is that period volume expressed as a percentage of shares outstanding.
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