Article


For as long as markets have evolved, there has been skepticism around new technology. When electronic trading transformed financial markets, many questioned whether automation would diminish the role of traders. Today, similar concerns surround increasingly sophisticated workflows, algorithmic tools, and AI-driven processes. History suggests otherwise.
The most effective automation isn’t designed to replace traders. It’s designed to make them more effective, which cannot happen without putting human capital front and center in its design. As trading volumes continue to rise, particularly in ETFs, desks are being asked to manage more orders, more data, and more complexity than ever before. Record ETF growth continues to place greater demands on trading teams, making scalability increasingly important.
Automation Creates Capacity in ETF Trading
One of the biggest misconceptions about automation is that it’s intended to reduce the need for human involvement. Automation is most valuable when it removes repetitive tasks that consume time without requiring meaningful decision-making. By automating routine and manual workflows, traders gain something more valuable than efficiency: capacity. Capacity to focus on sourcing liquidity, managing exceptions, making execution decisions, and responding to changing market conditions.
The goal isn’t less human expertise. It’s better use of it.

The Best Automation Adapts to the User
Technology often falls short when users are expected to change their workflows to “fit the tool.” The better approach is the opposite: automation should adapt to the way people work.
Every trading desk operates differently. Firms have invested heavily in their OMS platforms, trading workflows, controls, and processes. Successful automation shouldn’t force firms to abandon those investments. Instead, it should integrate into existing workflows while enhancing efficiency and consistency. The most effective solutions don’t ask traders to surrender control. They provide transparency, flexibility, and oversight, allowing users to remain firmly in the driver’s seat.
Why It Matters More Than Ever
ETF growth continues to accelerate, driving higher levels of trading activity across the market. As volumes, inflows, and new listings have continued to expand to record levels year-after-year, relying solely on manual processes has become increasingly difficult.
The industry has faced similar scaling challenges before. Years ago, trade tickets were physically carried across a trading floor by runners. Today, millions of transactions move electronically every day. Imagine trying to handle modern trading volumes with a runner assigned to every ticket. Large brokerages would look less like trading firms and more like the New York City Marathon, with people sprinting paperwork from one desk to another all day.
The industry embraced automation because it had to. Without it, markets could never have scaled to where they are today. The same principle applies now. As workflows become more complex, firms need technology that helps them manage growing activity while keeping experienced professionals at the center of the process.
Human Expertise Remains the Competitive Advantage
The future of trading isn’t about choosing between humans and technology. It’s about combining both into their normal trading flows. Technology handles the repetitive. People handle the consequential.
At QwickRoute, that philosophy is reflected in aRFQ™, our automated RFQ workflow solution for ETF trading. Built to integrate directly into existing OMS and execution environments, aRFQ helps firms bring the benefits of the traditional RFQ process into their normal trading workflows rather than forcing traders to operate in separate systems. By connecting traders more efficiently with ETF liquidity providers, aRFQ helps firms scale RFQ activity, access ETF liquidity within existing workflows, and manage growing trading volumes without sacrificing transparency, flexibility, or control.
To learn more about how QwickRoute can support your execution workflows, contact our team.

