2012issue C0872
Ranking futures liquidity for executable orders
A published futures ranking orders contracts by how easily their full open interest can be traded. Editorial reading: use that scale as a liquidity-filter for executable orders, and treat margin and equal-dollar contract counts as secondary comparisons only.
- Use the table as a liquidity-filter first: contracts are placed in descending order of how easily their full open interest can be traded.
- Relative-contract-liquidity is built from contracts-to-trade-for-equal-dollar-profit, open-interest-weighting, and a volume factor, then shown as activity marks rather than a standalone score.
- Effective-percent-margin and equal-dollar contract counts compare posted capital and size only within their own columns; they are not forecasts of profit.
- Markets with one activity mark or none are described as lightly traded and less suitable for speculative execution than the densest names.
Read the ranking as an execution screen
A published futures ranking treats liquidity as a selection filter by placing contracts in descending order of how easily their full open interest can be traded.
Editorial note: TradersWeek reads that table as an execution screen. First ask whether the contract can be entered and exited at a workable cost. Use a liquidity-filter to drop thin names, open-interest-analysis to judge how much size is available, and commission-analysis to account for implementation cost, before any later comparison of margin or contract count.
How relative-contract-liquidity is built
Relative-contract-liquidity is a comparative ranking of how easily a futures market can be traded. It is shown as a descending scale of activity marks rather than a standalone score.
The construction uses the contracts needed for an equal-dollar move, total open interest, and a volume factor that is the greater of 1 or a log-volume adjustment around a 5,000-contract reference.
Open-interest-weighting uses outstanding contracts together with that volume adjustment so a liquidity rank reflects how much size is actually available rather than headline activity alone.
Secondary columns after the filter
Contracts-to-trade-for-equal-dollar-profit multiplies tick dollar value by a three-year maximum price excursion so markets are compared on a common dollar-potential basis. It is a size-normalization that asks how many contracts of one market are needed to match another market's potential dollar move over a shared lookback.
Effective-percent-margin is margin dollars divided by the three-year dollar range of the contract and then multiplied by 100, so posted capital can be compared across markets.
Editorial note: these two measures are secondary filters only. They help compare size and posted capital after a name has already passed the liquidity-filter.
How to read the marks
Markets with one mark or none are described as lightly traded and less suitable for speculative execution than markets with the densest activity marks. A liquidity-filter drops thin or one-mark markets before a strategy is sized, because execution cost and fill quality dominate later results.
Column values are meaningful only as comparisons within the same column, because each measure is proportional rather than an absolute forecast of profit.
On the August 2012 ranking, short-rate contracts such as Eurodollar and three-month Euribor sit at the top of the liquidity scale, while several agricultural and currency contracts sit near the bottom.
A parallel equity proxy
Equity-share turnover, defined as period volume as a percentage of shares outstanding, is offered as a parallel liquidity proxy even though the ranking itself is a futures table.
All readings on this track · 32 readings
- 1985Matching ticket size to negotiable commission schedules
- 1985Minimum tickets can price a small book out of its own exit
- 1992Stop-order slippage as an execution cost filter
- 1993Cost-aware walk-forward evaluation of pattern-detector signals
- 2001Audit high-turnover operating conditions as one procedure
- 2002Front-load futures commission and slippage
- 2005Inactive account fees as hidden implementation cost
- 2010A pre-trade liquidity screen for futures contracts
- 2011Currency option venues, spreads, clearing, and premium cost
- 2012Filter futures contracts by liquidity and implementation cost
- 2012Futures commission versus one tick of cost
- 2012Ranking futures liquidity for executable orders
- 2013Filter option day trades by spread, volume, and fees
- 2013Filter futures by liquidity, open interest, and effective margin
- 2014Book futures data fees as implementation cost
- 2015Use a futures liquidity rank as a pre-trade checklist
- 2015Filter unexecutable futures by liquidity, open interest, and margin
- 2015Futures liquidity ranking as an execution filter
- 2015Filtering option trades by bid-ask width
- 2016Exchange quote fees as execution costs and liquidity filters
- 2016Filter futures by liquidity, open interest, and margin cost
- 2016Comparing dollar-index futures execution costs and liquidity
- 2016A futures liquidity ranking as a screen for executable orders
- 2017Filter a futures board by liquidity, open interest, and implementation cost
- 2017Filter futures contracts by liquidity and margin cost
- 2017How residency rules raise futures implementation costs
- 2018Screen listed futures by liquidity, open interest, and margin
- 2018Contract selection is the first filter on competing bitcoin futures
- 2018Filter futures execution by liquidity and margin
- 2018Commission analysis for brokerage execution costs
- 2019Ranking futures liquidity before you size the order
- 2020Brokerage selection as an implementation-cost problem