2012issue C1073
Filter futures liquidity using open interest and volume
A futures liquidity rank multiplies contract point value, a three-year maximum price move, open interest, and a volume factor. Relative contract liquidity is the equal-dollar contract count times total open interest times that factor, and each column is read only against other entries in the same column.
- A liquidity filter ranks listed futures by how readily a position can be put on or taken off, combining contract size, a multi-year price range, open interest, and a volume adjustment.
- Contracts to trade set an equal-dollar unit from tick dollar value and a three-year maximum price excursion.
- Relative contract liquidity multiplies that unit by total open interest and a volume factor floored at one, so idle inventory is not treated as an active book.
- Each column is a proportional comparison and is meaningful only against other entries in the same column.
A comparative liquidity filter
A liquidity filter ranks listed futures by how readily a position can be put on or taken off. The screen combines contract size, a multi-year price range, open interest, and a volume adjustment so thin books can be rejected before an order is sent.
Relative activity was shown with marks: the most marks indicated the most activity, while one mark or none indicated little activity.
Equal-dollar contracts to trade
Contracts to trade for equal dollar profit equals tick dollar value times the three-year maximum price excursion. That figure is the number of contracts needed so one market's dollar profit potential matches another's.
Effective percent margin equals margin dollars divided by the three-year dollar price range of the contract, then multiplied by 100. The column compares how much historical swing that posted margin covers.
Open interest and the volume factor
A futures liquidity rank can be formed by multiplying contract point value, a three-year maximum price move, open interest, and a volume factor usually set between 1 and 4. Relative contract liquidity equals the equal-dollar contract count times total open interest times a volume factor. Higher ranks mark contracts that are easier to buy and sell as a group.
Open-interest analysis uses outstanding contract inventory as a multiplier in that relative-liquidity score, so markets with more existing positions rank as easier to trade as a book rather than as a single printed price.
Volume confirmation is a volume-based factor that scales the liquidity rank and is floored at one, confirming that open interest is turning over rather than sitting idle. That volume factor is the greater of 1 and an exponential of logged volume relative to 5,000 contracts, minus 2.
How the columns compare
Each column is a proportional comparison and is meaningful only against other entries in the same column.
For listed shares, period volume as a percentage of shares outstanding was treated as a turnover-rate proxy for trading liquidity.
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