2014issue C0458
Evaluating futures contract liquidity before execution
Editorial reading: treat a published futures liquidity ranking as an execution gate rather than a setup list. Filter first by how readily a contract can be bought or sold, confirm with open interest and volume, then restack survivors on an equal-dollar contract count so implementation cost is visible.
- Use the descending activity ranking as a liquidity filter so an order is considered only when the book looks executable.
- Confirm that ranking with open interest as a multiplicative weight and a volume factor floored at one against a 5,000-contract reference.
- Restack surviving names on the equal-dollar contract count so size and effective percent margin are visible before any idea is judged.
- Read every column only as a proportional comparison with other entries in that same column.
What the ranking measures
A futures liquidity ranking can be built from contract point value, a three-year maximum price range, open interest, and a volume adjustment, then shown as a descending activity scale.
Names near the top of the ranking are characterized as easier to buy and sell. Names at the bottom are characterized as the hardest to execute. Contracts with little or no activity marks are treated as less suitable for speculative execution because they lack tradable depth.
Apply a liquidity filter first
A liquidity filter is a descending activity ranking that screens listed futures by how readily contracts can be bought or sold, so an order is considered only when the book looks executable.
TradersWeek editorial interpretation: the ranking is the first screen on whether a name looks executable, not a list of ideas to evaluate.
Confirm depth with open interest and volume
Open interest analysis uses outstanding contract inventory as a multiplicative weight so markets with larger open books rank as more executable than thin ones.
Volume confirmation is an activity adjustment, typically floored at one and scaled from recent volume against a 5,000-contract reference, that checks whether open interest is accompanied by actual turnover. The volume factor is the greater of 1 or an exponential transform of volume relative to a 5,000-contract reference.
Relative contract liquidity is defined as the equal-dollar contract count multiplied by total open interest and a volume factor. Higher scores sit nearer the top of the list.
Restack survivors on an equal-dollar count
The equal-dollar contract count scales each listed market by contract value and the largest three-year price excursion so the column is comparable across names. It is the number of contracts needed so each market is scaled to the same three-year dollar range, using tick dollar value times the three-year maximum price excursion.
Effective percent margin is posted margin divided by the three-year dollar range of the contract, then expressed as a percentage. Posted margin dollars are divided by that three-year dollar range and multiplied by 100 so margin consumption can be compared relative to historical range.
TradersWeek editorial interpretation: after names that fail the liquidity filter are set aside, restack the survivors on this equal-dollar count so size and margin load are visible before any setup is judged.
Read columns as proportions only
Figures in each column are meaningful only as proportional comparisons with other entries in the same column.
For listed shares, period volume as a percentage of shares outstanding is offered 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