2013issue C0276
Pre-trade futures liquidity as an execution filter
A futures liquidity rank turns equal-dollar contract count, open interest, and a volume factor into a descending comparison so a book can be accepted or rejected for implementability before a directional setup is sized.
- A futures liquidity rank can be formed by multiplying contract point value, a three-year maximum price motion, open interest, and a volume adjustment that typically sits between 1 and 4.
- The same relative-liquidity score can be restated as equal-dollar contract count times total open interest times a volume factor.
- Denser activity marks on a descending comparison indicate an easier book to buy and sell, and one or no marks indicate little activity.
- Each column in the screen is a proportional measure and is meaningful only when compared with other entries in that same column.
A rank of how readily a book can trade
The historical workflow forms a futures liquidity rank by multiplying contract point value, a three-year maximum price motion, open interest, and a volume adjustment that typically sits between 1 and 4. Relative contract liquidity is a descending rank of how readily an entire futures book can be transacted after scaling for equal-dollar size, outstanding contracts, and a volume adjustment.
Relative liquidity can be shown as a descending comparison in which denser activity marks indicate an easier book to buy and sell, and one or no marks indicate little activity.
Equal-dollar size, open interest, and volume
An equal-dollar contract count can be computed as tick dollar value times the three-year maximum price excursion so different futures share a common profit-scale unit. It states how many contracts of one market must be used so its multi-year price excursion matches another market on a common dollar scale.
Open interest is the stock of outstanding contracts used as a size input when judging how easily a futures book can be traded. The same relative-liquidity score can be restated as equal-dollar contract count times total open interest times a volume factor.
The volume factor is the greater of 1 and an exponential transform of volume against a 5,000-unit baseline. It is a multiplier floored at one that scales the liquidity rank when reported volume sits far from a fixed baseline.
Companion columns stay comparative
Effective percent margin is posted margin dollars divided by the three-year dollar range of the contract and then scaled to a percent, allowing margin outlay to be compared across markets. It expresses capital locked per unit of historical range.
Each column in the screen is a proportional measure and is meaningful only when compared with other entries in that same column.
In cash equities, period volume as a percentage of shares outstanding can be 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