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2019issue C0158

Evaluate futures liquidity with open interest and equal-dollar filters

A liquidity-filter rejects a futures contract when open-interest-weighted size cannot absorb the intended order. Survivors are then ranked on an equal-dollar scale so a wide, thin market is not treated as an easier fill than a deeper, quieter one.

  • Treat contract choice as a liquidity-filter: reject a market if open-interest-weighted size cannot absorb the intended order over its life.
  • Rank the contracts that pass with relative-contract-liquidity, which combines an equal-dollar-contract-count, total open interest, and a volume-factor.
  • Read each ranking column only against other values in that same column. Activity marks, effective-percent-margin, and liquidity scores are separate comparisons.
  • TradersWeek editorial view: this workflow is an execution screen, not a forecast of direction.
Entries in this reading2 entries

Contract selection as an execution screen

A liquidity-filter is a pre-trade accept-or-reject screen. It uses volume, spread-related cost columns, and a ranked activity scale to decide whether a contract is executable over the life of an order.

Open-interest-analysis weights a market by outstanding contracts so the liquidity rank reflects how much size is already on, not only recent prints. TradersWeek editorial reading: a name that cannot absorb intended size on that measure is discarded before any equal-dollar comparison.

Compare survivors on an equal-dollar scale

An equal-dollar-contract-count states how many contracts of one market are needed to match the same three-year dollar excursion as another market. The equal-dollar column builds that figure from tick dollar value times the three-year maximum price excursion.

Relative-contract-liquidity is the cross-market rank formed by combining that equal-dollar-contract-count, total open interest, and a volume adjustment.

How the rank is assembled

A futures liquidity rank can be built by multiplying contract point value, a three-year maximum price excursion, open interest, and a volume-factor that usually falls between 1 and 4.

A relative-liquidity score is the equal-dollar-contract-count times total open interest times a volume-factor. That volume-factor equals the greater of 1 or an exponential of log volume over log 5000, reduced by 2. In both constructions, the volume-factor is a multiplier, typically in a one-to-four range, that boosts or damps the rank for unusually thin or heavy volume.

How to read each column

Relative activity is shown as a descending mark count. The densest row is the most active, and a row with one mark or none is the least active.

Effective-percent-margin equals dollar margin divided by the three-year range of the contract’s dollar value, then multiplied by 100, so capital lock-up can be compared across markets.

For listed stocks, period volume as a percentage of shares outstanding is treated as a turnover-rate stand-in for trading liquidity.

Each ranking column is a proportional comparison and is meant to be read only against other values in that same column.

A late-2018 snapshot

In the late-2018 snapshot, the S&P 500 e-mini sat at the top of the liquidity scale, while two bitcoin futures sat at the bottom with effective-percent-margin figures of 51 and 55.6.

Contracts needed for equal dollar profit, late-2018 futures list

Ranked in the source’s open-interest liquidity order, the equal-dollar column still separates deep quiet markets from wide thin ones: a one-lot Russell 2000 or S&P Midcap e-mini already matched the three-year dollar range, while corn needed 24 lots, eurodollars 15, and the Mexican peso 14. Figures are the Contracts to Trade for Equal Dollar Profit column in the January 2019 Stocks & Commodities futures-liquidity table, not a recount of the original dot ranking.
Ranked in the source’s open-interest liquidity order, the equal-dollar column still separates deep quiet markets from wide thin ones: a one-lot Russell 2000 or S&P Midcap e-mini already matched the three-year dollar range, while corn needed 24 lots, eurodollars 15, and the Mexican peso 14. Figures are the Contracts to Trade for Equal Dollar Profit column in the January 2019 Stocks & Commodities futures-liquidity table, not a recount of the original dot ranking.US exchange-listed futures · front-month snapshot, January 2019 issue · 2018-11-01T00:00:00.000Z to 2019-03-31T00:00:00.000Z

The source scaled every listed future so that contract value times the three-year maximum price excursion produces the same dollar profit; the plotted figure is how many lots that takes. Rows stay in the published relative-liquidity order. Bitcoin Cboe carried no liquidity dots in that ranking.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
17 of 20 in the Open interest analysis track
201958-58 pp.Next on Open interest analysisScreen futures contracts by open interest and liquidityA liquidity-filter keeps only contracts whose equal-dollar size, open interest, and volume can support the intended order.
All readings on this track · 20 readings
  1. 1988Wave-count consensus and open-interest confirmation
  2. 1990Calibrating volume and open interest at support and resistance
  3. 1997Grading volume and open interest after moving-average crosses
  4. 2003Constructing an expiration settlement map from listed open interest
  5. 2010Futures liquidity filter for equal-dollar size and open interest
  6. 2010Screen futures for tradeable liquidity before sizing
  7. 2011Screen futures liquidity with open interest and equal dollar size
  8. 2011Construct a daily initiator filter from lead-contract price, open interest, and volume
  9. 2012Ranking futures markets by executable liquidity
  10. 2013Equal-dollar open interest as a futures liquidity filter
  11. 2013Filter futures by open interest and relative liquidity
  12. 2015Filter futures contracts by open interest and volume
  13. 2015Screen listed futures for executable liquidity first
  14. 2015Money-flow lookback versus aggregated open interest
  15. 2016Ranking futures by executable liquidity and open interest
  16. 2018Futures liquidity and open interest as an execution filter
  17. 2019Evaluate futures liquidity with open interest and equal-dollar filters
  18. 2019Screen futures contracts by open interest and liquidity
  19. 2020Filter futures orders by liquidity and open interest
  20. 2020Ranking futures liquidity before you place the order
All 118 readings tagged Open interest analysis
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