The Fort Worth Press - STARPRIME Completes Beta Testing of Market-Maker Model for Retail Brokers

USD -
AED 3.672499
AFN 64.999746
ALL 81.216919
AMD 362.051328
ANG 1.789785
AOA 916.999737
ARS 1517.025022
AUD 1.434701
AWG 1.80125
AZN 1.674966
BAM 1.739803
BBD 2.01708
BDT 123.195303
BGN 1.747831
BHD 0.378775
BIF 2997.464751
BMD 1
BND 1.281146
BOB 11.69239
BRL 5.065102
BSD 1.001468
BTN 95.050483
BWP 13.720589
BYN 3.015879
BYR 19600
BZD 2.014233
CAD 1.411995
CDF 2313.500625
CHF 0.82387
CLF 0.024881
CLP 979.260336
CNY 6.691203
CNH 6.684399
COP 3176.37
CRC 455.099408
CUC 1
CUP 24.035938
CVE 98.087444
CZK 21.6652
DJF 178.33919
DKK 6.657165
DOP 61.433083
DZD 133.824668
EGP 53.606297
ERN 15
ETB 163.585998
EUR 0.89045
FJD 2.26765
FKP 0.750253
GBP 0.749985
GEL 2.590156
GGP 0.750253
GHS 11.695058
GIP 0.750253
GMD 73.495888
GNF 8810.21216
GTQ 7.652004
GYD 209.527198
HKD 7.847655
HNL 26.885202
HRK 6.710984
HTG 131.147978
HUF 323.428498
IDR 18054
ILS 3.09465
IMP 0.750253
INR 94.97855
IQD 1518.213762
IRR 1795877.503759
ISK 121.290065
JEP 0.750253
JMD 159.195837
JOD 0.709042
JPY 157.823499
KES 130.019783
KGS 87.449637
KHR 4070.631144
KMF 440.000081
KPW 899.999961
KRW 1334.74007
KWD 0.31082
KYD 0.834586
KZT 453.195748
LAK 22534.359294
LBP 89683.40524
LKR 331.690611
LRD 170.751234
LSL 16.462394
LTL 2.95274
LVL 0.60489
LYD 6.431526
MAD 9.729662
MDL 17.966464
MGA 4507.405595
MKD 54.836988
MMK 2100.071343
MNT 3596.488264
MOP 8.096339
MRU 40.037362
MUR 47.220273
MVR 15.45965
MWK 1736.600987
MXN 18.44911
MYR 4.081095
MZN 63.896031
NAD 16.462394
NGN 1333.36012
NIO 36.854512
NOK 9.432155
NPR 152.081128
NZD 1.766941
OMR 0.382413
PAB 1.001468
PEN 3.444825
PGK 4.547436
PHP 62.975027
PKR 277.237468
PLN 3.892639
PYG 5719.877241
QAR 3.660721
RON 4.744401
RSD 104.461148
RUB 84.217087
RWF 1478.183516
SAR 3.752837
SBD 8.064647
SCR 13.905529
SDG 601.501313
SEK 9.910345
SGD 1.279395
SHP 0.754745
SLE 24.679966
SLL 20969.504398
SOS 572.343548
SRD 37.794499
STD 20697.981008
STN 21.794245
SVC 8.763065
SYP 13001.999685
SZL 16.455989
THB 33.440221
TJS 9.228751
TMT 3.51
TND 2.98768
TOP 2.40776
TRY 49.52654
TTD 6.798915
TWD 32.401963
TZS 2639.950505
UAH 44.920874
UGX 4136.458658
UYU 40.314905
UZS 12073.121914
VES 878.910597
VND 25894.5
VUV 119.385856
WST 2.787824
XAF 584.096748
XAG 0.017412
XAU 0.000239026302
XCD 2.70255
XCG 1.804919
XDR 0.707052
XOF 584.096748
XPF 106.089045
YER 236.149865
ZAR 16.459465
ZMK 9001.199117
ZMW 20.049815
ZWL 321.999592
SSP 5750.775019
MXV 2.083087
  • RIO

    -0.3300

    97.04

    -0.34%

  • CMSC

    -0.0400

    20.67

    -0.19%

  • RELX

    0.0000

    33.41

    0%

  • RBGPF

    0.0000

    67.95

    0%

  • BCE

    -0.0700

    21.99

    -0.32%

  • BCC

    -0.0300

    75.66

    -0.04%

  • GSK

    0.8600

    51.08

    +1.68%

  • JRI

    -0.0300

    11.52

    -0.26%

  • NGG

    -0.1200

    76.68

    -0.16%

  • CMSD

    0.0900

    20.54

    +0.44%

  • BTI

    -0.0800

    55.75

    -0.14%

  • AZN

    2.0200

    168.1

    +1.2%

  • BP

    -1.4200

    43.16

    -3.29%

  • RYCEF

    0.4600

    19.7

    +2.34%

  • VOD

    0.0700

    17.02

    +0.41%

STARPRIME Completes Beta Testing of Market-Maker Model for Retail Brokers
STARPRIME Completes Beta Testing of Market-Maker Model for Retail Brokers / Photo: © Financewire ( 186283 )

STARPRIME Completes Beta Testing of Market-Maker Model for Retail Brokers

The Market-Maker Model developed by STARPRIME has completed an extensive beta-testing phase, working with a select number of clients. The term ‘market maker’ carries a stigma of being a bad actor in our industry. That reputation has identifiable origins, and some of it has been earned. What follows is how a properly governed market-making arrangement differs, and where it can materially improve outcomes for retail brokers. 

Text size:

The driver of the product innovation and development has been to find the ‘sweet spot’ in solving some of the main challenges that larger retail brokers face:

  • Optimal efficiency in externalising Non-Risk Flow
  • Non-Risk Revenue dilemma (aka “flattening the curve”)

Optimal efficiency in externalising Non-Risk Flow

Whilst retail brokers seek the liquidity provided by traditional liquidity providers (Tier-1 LPs, ECNs, Banks), they struggle to make these offerings commercially viable, mainly as a direct result of wider spreads and higher margins compared to the retail model they operate under. This makes externalising flow commercially unviable, leaving retail brokers to manage greater exposure and risk than they would otherwise need to.

With the option of trading through a Market-Maker model, clients can trade on pricing and margins that are more closely aligned with the retail model, with the market maker managing the pricing and margin differential to LPs. The market maker absorbs the differential between retail-aligned pricing and LP pricing, supported by internal netting across aggregated flow and by scale. Retail brokers can access institutional-grade liquidity through a single relationship, reducing operational and capital costs.

Non-Risk Revenue dilemma (aka “flattening the curve”)

Retail brokers will be all too familiar with the changing dynamics and revenue streams in our industry. Over the past several years, the amount of Non-Risk Revenue being generated has been converging with the amount of risk revenue being earned. This comes as no surprise as the retail market is becoming more informed; with developing skill sets and technology (including AI), retail clients are becoming more profitable and are increasingly able to preserve their capital in volatile market conditions.

A number of participants in the beta release were able to identify client segments where the ‘Non-Risk revenue’ was close to or greater than the ‘risk revenue’. This highlighted the obvious Expected Value Trade-Off, where the most a broker could make would likely be the ‘Non-Risk revenue’, whilst the potential losses could be much greater. By externalising the flow through the Market-Maker model, they were able to manage their market risk and identify potential revenue opportunities across these segments of their client base.

Market Maker vs STP Solutions

In a like-for-like analysis, and in keeping with the general expectations of a Market-Maker Model, STARPRIME observed that the Market-Making model provided clients with key potential advantages across core metrics. Pricing included faster price updates and tighter spreads, particularly in volatile market conditions. Order fill efficiency was closer to optimal, particularly with larger order sizes. Market impact was greatly reduced, which ultimately resulted in greater overall efficiency. Naturally, the metrics will vary, primarily driven by the underlying nature of the order flow, although it was noted that there were clear improvements even on sharper flow.

Jay Mawji, CEO of STARPRIME, added: “As much as we may want to deny it, the pace of the Race to Zero is gathering each day. By deploying our market-maker solution and applying consistent pricing across the flow we accept, we are able to offer our clients execution at costs closer to their retail model than a traditional LP relationship allows. This promotes a healthy industry, where the Race to Zero is a phenomenon that should be embraced by all market participants in a responsible manner that promotes advancements in our industry with tighter pricing and stronger competition. 

Potential clients can view average pricing directly on the STARPRIME website (www.starprime.com)under the Pricing Section (https://www.starprime.com/spread/). This tool will be further enhanced to present execution metrics and use cases, in a bid to push for increased transparency and informed decision-making for potential clients.

About STARPRIME

STARPRIME was built around a clear understanding: institutional clients need more than access to liquidity. They need a partner that understands their business, responds to their changing requirements, and provides the infrastructure and expertise they can rely on as they grow.

Today, STARPRIME is an established institutional CFD liquidity provider and market maker, combining deep multi-asset liquidity with advanced pricing technology, low-latency execution, and dedicated client coverage. Its solutions are shaped around each client’s flow, scale, and market requirements, with a focus on transparency, consistent performance, and lasting partnerships.



Contact
STARPRIME
[email protected]

Source article: https://financewire.com/2026/08/19/starprime-completes-beta-testing-of-market-maker-model-for-retail-brokers/

L.Holland--TFWP