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

EUR -
AED 4.095102
AFN 72.480008
ALL 90.801688
AMD 402.807486
ANG 1.995737
AOA 1023.635334
ARS 1721.721299
AUD 1.61933
AWG 2.007127
AZN 1.900047
BAM 1.955836
BBD 2.250342
BDT 139.162586
BGN 1.948955
BHD 0.422108
BIF 3342.96213
BMD 1.115071
BND 1.431727
BOB 13.402249
BRL 6.138357
BSD 1.117321
BTN 104.873949
BWP 15.391286
BYN 3.345962
BYR 21855.38619
BZD 2.247142
CAD 1.573644
CDF 2586.964483
CHF 0.914162
CLF 0.027822
CLP 1094.980351
CNY 7.444774
CNH 7.438418
COP 3608.76707
CRC 506.709417
CUC 1.115071
CUP 26.815498
CVE 110.267049
CZK 24.346956
DJF 198.963698
DKK 7.480457
DOP 67.891262
DZD 151.940824
EGP 59.957114
ERN 16.726061
ETB 183.378708
FJD 2.526309
FKP 0.833961
GBP 0.834166
GEL 2.893653
GGP 0.833961
GHS 13.055243
GIP 0.833961
GMD 83.077063
GNF 9896.183924
GTQ 8.538159
GYD 234.234353
HKD 8.744429
HNL 30.029558
HRK 7.547925
HTG 146.432722
HUF 363.51345
IDR 20192.258205
ILS 3.552538
IMP 0.833961
INR 104.716854
IQD 1693.83148
IRR 2108992.359359
ISK 136.919964
JEP 0.833961
JMD 177.323296
JOD 0.790629
JPY 176.710877
KES 145.192698
KGS 97.510486
KHR 4552.084602
KMF 492.86165
KPW 1003.563608
KRW 1520.737678
KWD 0.346765
KYD 0.931217
KZT 500.809308
LAK 25136.46717
LBP 100053.859534
LKR 371.556906
LRD 189.94353
LSL 18.477643
LTL 3.292514
LVL 0.674496
LYD 7.150133
MAD 10.921803
MDL 19.971371
MGA 5077.094359
MKD 61.556144
MMK 2341.311039
MNT 4015.078679
MOP 9.019368
MRU 45.108838
MUR 52.442198
MVR 17.176258
MWK 1937.436008
MXN 20.766565
MYR 4.528864
MZN 71.257178
NAD 18.477643
NGN 1502.23485
NIO 41.120764
NOK 10.548462
NPR 167.798119
NZD 2.015128
OMR 0.428348
PAB 1.117421
PEN 3.848972
PGK 5.092095
PHP 70.369926
PKR 309.016043
PLN 4.399568
PYG 6984.129802
QAR 4.084276
RON 5.343646
RSD 117.622186
RUB 91.352798
RWF 1649.13065
SAR 4.188587
SBD 8.974739
SCR 15.358485
SDG 670.719139
SEK 11.033072
SGD 1.430306
SHP 0.835103
SLE 25.591287
SLL 23382.48045
SOS 638.511867
SRD 41.908265
STD 23079.712667
STN 24.500455
SVC 9.776182
SYP 14498.149201
SZL 18.471343
THB 37.411034
TJS 10.307092
TMT 3.902748
TND 3.343362
TOP 2.684822
TRY 55.9111
TTD 7.577141
TWD 36.546782
TZS 2952.454872
UAH 50.616941
UGX 4570.084937
USD 1.115071
UYU 44.950835
UZS 13332.247784
VES 999.456181
VND 28526.296796
VUV 133.25575
WST 3.108617
XAF 655.957
XAG 0.021465
XAU 0.000274244363
XCD 3.013535
XCG 2.013637
XDR 0.788413
XOF 655.957
XPF 119.331742
YER 263.853652
ZAR 18.420333
ZMK 10036.978597
ZMW 22.703422
ZWL 359.052318
SSP 6406.644798
MXV 2.33632
  • CMSD

    -0.1200

    19.81

    -0.61%

  • JRI

    0.0000

    10.77

    0%

  • BCC

    -1.8200

    74.15

    -2.45%

  • CMSC

    -0.2228

    19.53

    -1.14%

  • BCE

    0.2000

    20.34

    +0.98%

  • RIO

    0.0100

    94.17

    +0.01%

  • AZN

    -2.7400

    161.47

    -1.7%

  • GSK

    -1.1800

    48.17

    -2.45%

  • RBGPF

    0.0000

    65

    0%

  • NGG

    0.8800

    75.82

    +1.16%

  • RYCEF

    -0.7300

    19.08

    -3.83%

  • BTI

    -0.4500

    54.4

    -0.83%

  • BP

    0.4700

    43.99

    +1.07%

  • RELX

    -0.0600

    33.18

    -0.18%

  • VOD

    -0.1800

    16.15

    -1.11%

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/

(A.Lehmann--BBZ)