Institutional Trading Technology

AI Native. Cloud Native. Mobile Centric.

Enterprise SaaS for institutional trading.

Banks, institutional brokers, proprietary trading firms and asset managers run their execution, distribution and risk on Fortex — from global liquidity aggregation to the trader’s screen, and every layer in between.

Order Internalisation & Risk Engine
STP Rate99.98%
Internalised Flow78.4%
Risk EngineActive A/B Book
$50B
Daily currency volume
20M+
Orders processed daily
sub-1ms
Round-trip execution
500+
Liquidity providers
30yrs
Building for institutions

Fortex signal architecture

From market signal to governed action.

Explore an illustrative model of how institutional flow can move through market access, controls and distribution without losing operational context.

Model statusIllustrative · non-live
FORTEX CONTROL FABRICMarket flow

A normalized path from external market context to controlled execution.

  1. 01
    SourceVenues and liquidity
  2. 02
    NormalizePrice and instrument context
  3. 03
    DecidePolicy-bounded routing
  4. 04
    ExecuteOutcome and confirmation

Reference architecture only. Product scope, data sources and realized behavior are confirmed during architecture review.

New — MCP Servers

Your agents, connected directly to institutional infrastructure.

Fortex speaks the Model Context Protocol natively. The AI systems your institution is already building can work against real market data, real execution and real risk controls — without bespoke integration work.

See how agentic trading works
“We never rest in our desire to continue Pepperstone’s strong reputation of being at the forefront of ECN market technology for clients. Our Fortex MT4 Web Trader platform provides traders with full market depth of the interbank markets through their familiar MT4 environment.”
Owen KerrChief Executive Officer and Co-founder, Pepperstone

Ready to see it on your flow?

Tell us how your firm trades and we will scope the deployment.