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

EUR -
AED 4.099737
AFN 73.678285
ALL 91.347673
AMD 404.395849
ANG 1.998644
AOA 1023.677316
ARS 1712.480098
AUD 1.610208
AWG 2.01219
AZN 1.896675
BAM 1.941829
BBD 2.246746
BDT 137.143269
BGN 1.879281
BHD 0.420493
BIF 3365.31705
BMD 1.116333
BND 1.427641
BOB 13.402868
BRL 5.830484
BSD 1.115529
BTN 108.068908
BWP 15.42187
BYN 3.359991
BYR 21880.128814
BZD 2.243469
CAD 1.595173
CDF 2578.729219
CHF 0.92794
CLF 0.027693
CLP 1093.459542
CNY 7.484511
CNH 7.49515
COP 3685.060225
CRC 511.145258
CUC 1.116333
CUP 26.771104
CVE 109.480243
CZK 24.428711
DJF 198.640589
DKK 7.474319
DOP 66.603776
DZD 149.503038
EGP 58.593758
ERN 16.744997
ETB 182.199852
FJD 2.508679
FKP 0.843125
GBP 0.846253
GEL 2.90807
GGP 0.843125
GHS 13.101091
GIP 0.843125
GMD 82.040664
GNF 9812.837198
GTQ 8.52478
GYD 233.337433
HKD 8.759932
HNL 29.948863
HRK 7.521408
HTG 146.076194
HUF 368.857111
IDR 20024.783197
ILS 3.407417
IMP 0.843125
INR 107.406371
IQD 1461.325193
IRR 1949719.860455
ISK 137.190729
JEP 0.843125
JMD 176.599667
JOD 0.791425
JPY 176.433653
KES 143.114991
KGS 97.62296
KHR 4524.668418
KMF 488.953586
KPW 1004.700147
KRW 1503.550006
KWD 0.344757
KYD 0.929537
KZT 501.187478
LAK 25056.395274
LBP 99893.399271
LKR 368.895748
LRD 190.740208
LSL 18.651208
LTL 3.296241
LVL 0.675259
LYD 7.143952
MAD 11.08256
MDL 19.934555
MGA 4928.802702
MKD 61.141735
MMK 2344.132245
MNT 4014.637647
MOP 9.016271
MRU 44.576275
MUR 53.740446
MVR 17.258381
MWK 1934.286975
MXN 20.335247
MYR 4.563684
MZN 71.332788
NAD 18.651208
NGN 1481.876204
NIO 41.046513
NOK 10.803627
NPR 172.915635
NZD 1.999001
OMR 0.428975
PAB 1.115499
PEN 3.865591
PGK 5.051879
PHP 70.028682
PKR 308.968114
PLN 4.387451
PYG 6526.365046
QAR 4.066
RON 5.342798
RSD 116.643894
RUB 93.754489
RWF 1652.109446
SAR 4.182085
SBD 9.017819
SCR 15.35928
SDG 671.469913
SEK 11.280563
SGD 1.431334
SHP 0.842865
SLE 27.458333
SLL 23408.937934
SOS 637.550018
SRD 42.210228
STD 23105.841359
STN 24.326066
SVC 9.76004
SYP 14514.563286
SZL 18.647833
THB 37.546721
TJS 10.267862
TMT 3.907166
TND 3.323929
TOP 2.687862
TRY 54.883385
TTD 7.563783
TWD 35.474811
TZS 2935.195795
UAH 50.19366
UGX 4451.094469
USD 1.116333
UYU 44.956942
UZS 13156.692573
VES 966.161908
VND 29016.288173
VUV 133.493434
WST 3.113019
XAF 655.957
XAG 0.018315
XAU 0.000269797846
XCD 3.016947
XCG 2.010389
XDR 0.789305
XOF 655.957
XPF 119.331742
YER 263.790902
ZAR 18.655801
ZMK 10048.342262
ZMW 21.919372
ZWL 359.458804
SSP 6377.155025
MXV 2.300897
  • NGG

    0.7900

    76.12

    +1.04%

  • BCE

    -0.1900

    19.73

    -0.96%

  • BCC

    0.2900

    74.99

    +0.39%

  • RBGPF

    0.0900

    65.09

    +0.14%

  • RIO

    1.3400

    94.21

    +1.42%

  • RYCEF

    0.1200

    19.42

    +0.62%

  • VOD

    0.4400

    16.82

    +2.62%

  • CMSC

    0.0800

    20.24

    +0.4%

  • JRI

    0.1300

    10.9

    +1.19%

  • GSK

    -0.1500

    47.03

    -0.32%

  • RELX

    -0.0700

    33.42

    -0.21%

  • CMSD

    0.0900

    20.43

    +0.44%

  • BTI

    0.2849

    52.64

    +0.54%

  • BP

    0.2900

    44.79

    +0.65%

  • AZN

    -0.8000

    156.9

    -0.51%

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/

G.Kuhn--NZN