Automate Your Forex Trading
Automated trading strategies are an excellent way to take full advantage of the 24 hour forex market. But automated trading needs great, reliable execution you can depend on. Our back-end order routing system can handle just about anything your expert advisor can throw at it: a lot of orders or just a few, large-lot orders or small micro lots.
Metatrader 4 is one of the most popular trading platforms in the world in part because of its native ability to handle automated trading. The community of MT4 developers has developed thousands of EAs - and there are developers available to code an EA to your particular strategy.

Superior Forex Execution
We understand that you need excellent order execution - after all, what good does a shiny trade platform do you when you can’t get into your trade when you want and at the price you want?
And this is why IBFX Australia is different from other brokers. We have invested millions of dollars in our back-end order routing technology we call Core. The difference all comes down to speed and how our system manages orders.
First off, our back-end smart order routing system is fast. Forex is a very fast moving market and we as your broker need to be fast, too, in order to execute trades at the price requested by traders. When developing Core, we optimized heavily for speed, which is evident in our performance statistics. Our average execution time is only 8 Milliseconds* on average - which is better than the technology that your average institutional trader trades through!**
Secondly, our system has been developed to handle less-than-ideal scenarios - which is a reality in a fast moving market like forex. In an ideal scenario your trade will get accepted by the first available liquidity partner, but sometimes that doesn’t happen. Our smart order router, instead of rejecting the order out-right like other brokers may, immediately sends your trade onto the next liquidity partner until all possible options are exhausted or until your trade gets filled.
*based on January 2011 data
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