2014issue C0515
Book futures data fees as implementation cost
From March 1, 2014, new nonprofessional futures accounts paid about 3 to 15 dollars a month for electronic live-data access, while professional users were expected to face several hundred to several thousand dollars per user. Commission analysis books both charges as implementation-cost inputs because they change who watches the book, how thinly a desk is staffed, and how leftover fixed costs return as commissions.
- Newly opened nonprofessional accounts were charged about 3 to 15 dollars per month for live-data access on electronic platforms, while orders sent through a full-service broker or trade desk were not billed that charge.
- Nonprofessional accounts already open and active before March 1, 2014 received a waiver of the extra data charge until January 2015.
- The professional-user levy was expected at several hundred to several thousand dollars per user per month and was argued to cut broker capacity through closures and hiring restraint.
- Fewer brokers and fewer participants were projected to lower contract volume and force remaining fixed costs into higher per-account commissions and other brokerage charges.
A split in who pays for the book
From March 1, 2014, newly opened nonprofessional accounts in futures were charged about 3 to 15 dollars per month for live-data access: real-time quotes, charts, and depth-of-market panels on an electronic platform. A nonprofessional account is a retail futures account used other than as a sole source of income, and therefore subject to the venue's lighter retail data schedule.
That monthly live-data charge applied only to electronic platform access. Traders who sent orders through a full-service broker or trade desk were not billed for it. Live-data access meant electronic platform rights rather than broker-mediated order placement.
Nonprofessional accounts that were already open and active before March 1, 2014 received a waiver of the extra data charge until January 2015.
Professional-user levy and thinner desks
Professional users such as brokers, trade-desk clerks, and commodity trading advisors were expected to face several hundred to several thousand dollars per user per month. That professional-user levy is the much higher monthly per-user data charge applied to brokers, desk clerks, advisors, and similar industry staff.
The commentary argued that the professional-side levy could put small brokerages out of business and deter larger firms from hiring. Thinner brokerage staffs were described as producing longer hold times, slower responses, and less knowledgeable support for accounts of every size. Broker capacity is the headcount and expertise a firm can keep on the desk after professional data costs rise.
Fixed-cost reallocation after volume falls
Fewer brokers and fewer participants were projected to lower contract volume and force remaining fixed costs into higher per-account commissions and other brokerage charges. Fixed-cost reallocation is the process by which industry-wide data and overhead burdens get spread across fewer remaining accounts as higher per-trader charges.
The retail fee was framed as an annoyance rather than an exit trigger for committed traders, but as enough friction to steer some casual participants toward forex or equity exchange-traded funds instead of listed commodities.
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